Return-Path: Received: from corot.bc.edu (corot.bc.edu [136.167.2.209]) by monet.bc.edu (8.8.7/8.8.7) with ESMTP id QAA50522 for ; Wed, 1 Sep 1999 16:00:19 -0400 From: maiser@efs.mq.edu.au Received: (from root@localhost) by corot.bc.edu (8.8.7/8.8.7) with X.500 id QAA214692 for baum@mail1.bc.edu; Wed, 1 Sep 1999 16:00:18 -0400 Received: from baldrick.ocs.mq.edu.au (baldrick.ocs.mq.edu.au [137.111.1.12]) by corot.bc.edu (8.8.7/8.8.7) with ESMTP id QAA182278 for ; Wed, 1 Sep 1999 16:00:04 -0400 Received: from efs1.efs.mq.edu.au (efs1.efs.mq.edu.au [137.111.64.8]) by baldrick.ocs.mq.edu.au (8.9.2/8.9.2) with ESMTP id FAA25456 for ; Thu, 2 Sep 1999 05:59:58 +1000 (EST) Received: from EFS1/SpoolDir by efs1.efs.mq.edu.au (Mercury 1.40); 2 Sep 99 06:02:29 GMT+1000 Received: from SpoolDir by EFS1 (Mercury 1.40); 2 Sep 99 06:02:28 GMT+1000 To: baum@bc.edu Date: Thu, 2 Sep 99 6:02:28 GMT+1000 Subject: Re: Message-ID: <1666C9B7E5F@efs1.efs.mq.edu.au> From: Thamana Lekprichakul To: "RATS Discussion List" Subject: Please help Date: Sat, 31 Jul 1999 17:42:34 -1000 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII X-Mailer: Mercury MTS (Bindery) v1.40 Dear RATS Users I try to compute mean for each column of a matrix and all I got is NA. Can any one please help pointing out any error I may have made? RATS does not seem to recognize any syntax error. Here is my list of commands: Do i=1,%Cols(TE) Com SumTE = 0.0 Do j=1,%Rows(TE) Com SumTE = TE(i,j) + SumTE End Do J Dis 'SumTE =' SumTE Com MeanTE = SumTE/%Rows(TE) Dis 'Mean =' MeanTE Com TEBar(I) = MeanTE End Do I Dis 'Mean =' Write TEBar where TE is a rectangular matrix of dimension 89 x 5 and it is not emplty. Also, is it possible to re-define values in a column of a matrix as a series in RATS? Many thanks in advance for your kind assistance. Regards, /Thamana ======================================================================== * Thamana LEKPRICHAKUL (Ph)1+808+944-7425 * * East-West Center-Population Program (Fax)1+808+944-7490 * * 1601 East-West Rd. E-Mail: thamana@hawaii.edu * * Honolulu, Hawaii 96848-1601 * * USA. * ======================================================================== ---------- End of message ---------- From: Christopher F Baum To: "RATS Discussion List" Subject: Re: Please help Date: Sun, 01 Aug 1999 10:52:46 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Mulberry (MacOS) [1.4.4, s/n P020-300786-009] (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Why not just multiply by a vector of (1/%rows(te))? Kit Baum --On Sat, Jul 31, 1999 17:42 -1000 Thamana Lekprichakul wrote: > Dear RATS Users > > I try to compute mean for each column of a matrix and all I got is NA. Can > any one please help pointing out any error I may have made? RATS does not > seem to > recognize any syntax error. Here is my list of commands: > > Do i=1,%Cols(TE) > Com SumTE = 0.0 > Do j=1,%Rows(TE) > Com SumTE = TE(i,j) + SumTE > End Do J > Dis 'SumTE =' SumTE > Com MeanTE = SumTE/%Rows(TE) > Dis 'Mean =' MeanTE > Com TEBar(I) = MeanTE > End Do I > Dis 'Mean =' > Write TEBar > > where TE is a rectangular matrix of dimension 89 x 5 and it is not emplty. > Also, is it possible to re-define values in a column of a matrix as a > series in RATS? > > Many thanks in advance for your kind assistance. > > Regards, > /Thamana > > > ======================================================================== > * Thamana LEKPRICHAKUL (Ph)1+808+944-7425 * > * East-West Center-Population Program (Fax)1+808+944-7490 * > * 1601 East-West Rd. E-Mail: thamana@hawaii.edu * > * Honolulu, Hawaii 96848-1601 > * * USA. > * > ======================================================================== > ---------- End of message ---------- From: szuniga@entelchile.net (SERGIO ZUNIGA JARA) To: "RATS Discussion List" Subject: RE: Please help Date: Sun, 1 Aug 1999 13:02:20 -0600 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 Content-Type: text/plain; Content-Transfer-Encoding: 7bit X-Mailer: Microsoft Outlook Express 4.72.3110.5 (via Mercury MTS (Bindery) v1.40) >Also, is it possible to re-define values in a column of a matrix as a >series in RATS? * example dec rect TE2 dim TE2(3,2) comp TE2 = ||1.0 , 2.0| 3.0,5.0| 6.5, 8.0|| all 3 comp start = 1 do i=1,3 comp end = start set serie1 start end = TE2(i,1) set serie2 start end = TE2(i,2) comp start = start + 1 end print / ENTRY SERIE1 SERIE2 1 1.0000000000000 2.0000000000000 2 3.0000000000000 5.0000000000000 3 6.5000000000000 8.0000000000000 Cheers, *************************************************** Sergio Zuniga szuniga@entelchile.net Universidad Catolica del Norte Larrondo 1281 Coquimbo - Chile Tel.: 56-51-327248 *************************************************** ---------- End of message ---------- From: To: "RATS Discussion List" Subject: RE: Please help Date: Mon, 2 Aug 1999 12:26:00 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 X-Mailer: Internet Mail Service (5.5.2448.0) (via Mercury MTS (Bindery) v1.40) Content-Type: text/plain; Content-Transfer-Encoding: quoted-printable Why don't you use the function %sum()? For instance: dec vec TEbar(%cols(TE)) do i=3D1,%cols(TE) com TEbar(i) =3D %sum(%xcol(TE,i))/%rows(TE) end do i write TEbar Laurent Ferrara RATP - Commercial Department ---------- De: Thamana Lekprichakul A: RATS Discussion List Objet: Please help Date: dimanche 1 ao=FBt 1999 04:42 Dear RATS Users I try to compute mean for each column of a matrix and all I got is NA. = Can any one please help pointing out any error I may have made? RATS does = not seem to recognize any syntax error. Here is my list of commands: Do i=3D1,%Cols(TE) Com SumTE =3D 0.0 Do j=3D1,%Rows(TE) Com SumTE =3D TE(i,j) + SumTE End Do J Dis 'SumTE =3D' SumTE Com MeanTE =3D SumTE/%Rows(TE) Dis 'Mean =3D' MeanTE Com TEBar(I) =3D MeanTE End Do I Dis 'Mean =3D' Write TEBar where TE is a rectangular matrix of dimension 89 x 5 and it is not = emplty. Also, is it possible to re-define values in a column of a matrix as a series in RATS? Many thanks in advance for your kind assistance. Regards, /Thamana = =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= * Thamana LEKPRICHAKUL (Ph)1+808+944-7425 = * * East-West Center-Population Program (Fax)1+808+944-7490 = * * 1601 East-West Rd. E-Mail: thamana@hawaii.edu = * * Honolulu, Hawaii 96848-1601 = * * USA. = * = =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= ---------- End of message ---------- From: "scdoong" To: "RATS Discussion List" Subject: GARCH model Date: Tue, 3 Aug 1999 10:36:58 +0800 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Microsoft Internet Mail 4.70.1155 (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit Dear Sam, May I have the code for the bivariate GARCH model ( the error follow the GED)? Thanks. By the way, good to hear that you'll come back soon. Daniel ---------- End of message ---------- From: Rob Trevor To: "RATS Discussion List" Subject: MacOS 8.6 and MacRATS 4.35 Date: Thu, 5 Aug 1999 17:40:39 +1000 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" ; format="flowed" X-Mailer: Mercury MTS (Bindery) v1.40 Hi Anyone had any problems running MacRATS (latest) under MacOS 8.6? I've got a fairly big job which runs fine under 8.1 on an old PPC laptop (and Windows and Unix), but bombs on a new 'bronze keyboard' 400MHz G3 PowerBook running 8.6. (Even when I start with all extensions disabled.) If anyone has noticed any problems, could you please let me know. It may help me track down what my problem is. Thanks Rob Trevor robt@efs.mq.edu.au ---------- End of message ---------- From: "Carl Moss" To: "RATS Discussion List" Subject: Re: MacOS 8.6 and MacRATS 4.35 Date: Thu, 05 Aug 1999 21:06:22 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Microsoft Outlook Express Macintosh Edition - 4.5 (0410) (via Mercury MTS (Bindery) v1.40) Mime-version: 1.0 Content-type: text/plain; charset="US-ASCII" Content-transfer-encoding: 7bit > Hi > > Anyone had any problems running MacRATS (latest) under MacOS 8.6? > > I've got a fairly big job which runs fine under 8.1 on an old PPC > laptop (and Windows and Unix), but bombs on a new 'bronze keyboard' > 400MHz G3 PowerBook running 8.6. (Even when I start with all > extensions disabled.) > > If anyone has noticed any problems, could you please let me know. It > may help me track down what my problem is. > > Thanks > > Rob Trevor > robt@efs.mq.edu.au I've not had similar with MacRATS, but I've been told that applications under OS8.6 generally need more memory. Try increasing the memory allocations by 300k - select the MacRATS application in the Finder, pull up Get Info (Command-I) and select the option 'Memory' from the drop-down list menu of things to show. I've had to do this with a few applications to get them to work reliably. The fact that it won't run with extensions disabled but used to work under 8.1 makes me think this is the most likely problem. Regards Carl -- Carl Moss carl@cueball.demon.co.uk ---------- End of message ---------- From: Jason Morris To: "RATS Discussion List" Subject: Using logical operators on a series Date: Mon, 9 Aug 1999 11:44:17 -0400 (EDT) Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit X-Mailer: mail.com (via Mercury MTS (Bindery) v1.40) Hi, I'm a final year postgrad econ student at the University of the West Indies, Mona, Jamaica. I'm having problems getting RATs to check each entry of a series and performing the relevant logical operation. E.g, look at the code below; SET avg = 2485.7437 IF bdos>=avg.AND.bdos<(2*avg) SET bdos = (avg+2*(SQRT(bdos-avg))) ELSE IF bdos>=(2*avg).AND.bdos<(3*avg) SET bdos = (avg+2*(SQRT(avg))+3*((bdos-(2*avg))**1./3.)) ElSE PRINT / bdos bdos is the series from 1986:1 to 95:1 The trouble is, the PRINT command either gives me nothing or gives me the original series, depending on what I do. When I run the code as above, I get the original bdos sereis. When I use another name say, "SET NEWBDOS=...." in the SET statement instead of "SET BDOS=..." I get nothing from the "PRINT / NEWBDOS" command. The program doesn't crash or give me an error, it just gives me nothing! The operation of the second ElSE If statement should be my output(all the values of BDOS lie in htis range), but it doesn't work. Apparently, it is using bdos as a matrix or something and NOT TESTING EACH INDIVIDUAL VALUE OF BDOS, to see if the conditions hold true. I tried to use a DO and DOFOR loops, but they just returned "tried to use integer value, got matrix instead" error. So how do I test each value in the series, short of working each value by hand? Thanks! Jason W. Morris Email : jasonwm@email.com or nosajwm@yahoo.co.uk Homepage : http://go.to/jasonwm ----------------------------------------------- FREE! The World's Best Email Address @email.com Reserve your name now at http://www.email.com ---------- End of message ---------- From: szuniga@entelchile.net (SERGIO ZUNIGA JARA) To: "RATS Discussion List" Subject: RE: Using logical operators on a series Date: Mon, 9 Aug 1999 21:43:31 -0600 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 Content-Type: text/plain; Content-Transfer-Encoding: 7bit X-Mailer: Microsoft Outlook Express 4.72.3110.5 (via Mercury MTS (Bindery) v1.40) >I'm having problems getting RATs to check each entry of a series and >performing the relevant logical operation. You may use only one SET instruction. Here you have an numerical example (see pag. 1-28): ALL 3 DATA(UNIT=INPUT) / bdos 100. 105. 110. stat(noprint) bdos dis %mean 105.00000 set mean = %mean *if bdosmean then bdos2=bdos+500 clear bdos2 set bdos2 = %if(bdos To: "RATS Discussion List" Subject: RE: Using logical operators on a series Date: Tue, 10 Aug 1999 16:41:00 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 X-Mailer: Internet Mail Service (5.5.2448.0) (via Mercury MTS (Bindery) v1.40) Content-Type: text/plain; Content-Transfer-Encoding: quoted-printable Dear Jason, Try to use a test in a loop For instance: com avg =3D 2485.7437 ; * where avg is a constant inquire(series=3Dbdos) deb fin ; * finding the first observation (i.e = deb =3D 1986:1) and last observation (i.e fin =3D 1995:1) DO t=3Ddeb,fin IF (bdos(t)>=3Davg).AND.(bdos(t)<2*avg) com bdos(t) =3D avg+2*SQRT(bdos(t)-avg) ELSE IF (bdos(t)>=3D2*avg).AND.(bdos(t)<3*avg) com bdos(t) =3D (avg+2*SQRT(avg)) + 3*((bdos(t)-2*avg)**(1./3.)) ENDDO PRINT / bdos Jean-Philip Bellotteau RATP - Commercial Department ---------- De: Jason Morris A: RATS Discussion List Objet: Using logical operators on a series Date: lundi 9 ao=FBt 1999 16:44 Hi, I'm a final year postgrad econ student at the University of the West = Indies, Mona, Jamaica. I'm having problems getting RATs to check each entry of a series and performing the relevant logical operation. E.g, look at the code below; SET avg =3D 2485.7437 IF bdos>=3Davg.AND.bdos<(2*avg) SET bdos =3D (avg+2*(SQRT(bdos-avg))) ELSE IF bdos>=3D(2*avg).AND.bdos<(3*avg) SET bdos =3D (avg+2*(SQRT(avg))+3*((bdos-(2*avg))**1./3.)) ElSE PRINT / bdos bdos is the series from 1986:1 to 95:1 The trouble is, the PRINT command either gives me nothing or gives me = the original series, depending on what I do. When I run the code as above, I get the original bdos sereis. When I = use another name say, "SET NEWBDOS=3D...." in the SET statement instead of = "SET BDOS=3D..." I get nothing from the "PRINT / NEWBDOS" command. The = program doesn't crash or give me an error, it just gives me nothing! The operation of the second ElSE If statement should be my output(all = the values of BDOS lie in htis range), but it doesn't work. Apparently, it is using bdos as a matrix or something and NOT TESTING = EACH INDIVIDUAL VALUE OF BDOS, to see if the conditions hold true. I tried = to use a DO and DOFOR loops, but they just returned "tried to use integer value, got matrix instead" error. So how do I test each value in the series, short of working each value = by hand? Thanks! Jason W. Morris Email : jasonwm@email.com or nosajwm@yahoo.co.uk Homepage : http://go.to/jasonwm ----------------------------------------------- FREE! The World's Best Email Address @email.com Reserve your name now at http://www.email.com ---------- End of message ---------- From: "Maurice A. Harris" To: "RATS Discussion List" Subject: Phillips-Perron Unit Root Test Date: Tue, 10 Aug 1999 12:20:11 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Syracuse University, Finance Department X-Mailer: Mozilla 4.61 [en] (Win95; I) (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit I would like to conduct the Phillips-Perron unit root test. For the desired output, I need the mean reversion parameter estimate as well as the associated test statistic. I've tried many of the routines posted on the Estima web site but I've found that they only output the test statistic. Any suggestions? Thanks in advance. ---------- End of message ---------- From: "Christopher F. Baum" To: "RATS Discussion List" Subject: Re: Phillips-Perron Unit Root Test Date: Tue, 10 Aug 1999 12:39:24 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Mulberry (MacOS) [1.4.4, s/n P020-300786-009] (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit FInd the piece you want within ppunit.src and add a 'display' line within the code! If you want it passed back, enter it as an additional element of the formal parameter sequence, and declare it with a '*' prefix to denote that it is a return. --On Tue, Aug 10, 1999 12:20 PM -0400 "Maurice A. Harris" wrote: > I would like to conduct the Phillips-Perron unit root test. For the > desired output, I need the mean reversion parameter estimate as well as > the associated test statistic. I've tried many of the routines posted > on the Estima web site but I've found that they only output the test > statistic. Any suggestions? > > Thanks in advance. > ----------------------------------------------------------------- Kit Baum baum@bc.edu http://fmwww.bc.edu/ec-v/baum.fac.html ---------- End of message ---------- From: "Jun Tomida" To: "RATS Discussion List" Subject: Out-of-sumple forecast in VAR model with error-correction model Date: Fri, 13 Aug 1999 16:14:15 +0900 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 Content-Type: multipart/mixed; X-Mailer: Microsoft Outlook Express 5.00.2014.211 (via Mercury MTS (Bindery) v1.40) This is a multi-part message in MIME format. ------=_NextPart_000_0015_01BEE5A6.E640F0A0 Content-Type: multipart/alternative; boundary="----=_NextPart_001_0016_01BEE5A6.E640F0A0" ------=_NextPart_001_0016_01BEE5A6.E640F0A0 Content-Type: text/plain; charset="iso-2022-jp" Content-Transfer-Encoding: 7bit Dear RATS Users: I am constructing a VAR model with error-correction term using HP filtered data. After having estimated the model using 80:1 to 95:4 data , I tried to do STEPS for out-of-sumple forecast 96:1 to 99:2 in order to get forecasted "DRDMS" using "real" two dataseriese "DDMSSS" and "DDMSPR" , which were so-called independent variables). But I couldn't get forecasted values 96:1 to 99:2. Because I couldn't get residuals "RESIDDMS" from 96:1 to 99:2 , which were calculated from the long-run equilibrium relationship equation "LRDMSEQ". How can I get forecasted values? I would really appreciate any help or advice. Sincerely, Jun Tomida Sanwa Asset Management Co., Ltd. 1-1-3,OTEMACHI,CHIYODA-KU TOKYO,100-0004 JAPAN e-mail : jtomida@bc.mbn.or.jp voice : 81-3-3214-3887 This is the program. *************************************** CAL 1980 1 4 ALL 1999:2 OPEN DATA D:\WINRATS\WORK\NATREXTX.RAT DATA(FORMAT=RAT) / BDSS BDPRBB USSS USPR RDMS SEASONAL SEASONS 1980:1 2001:3 SET DMSPR = LOG(USPR)-LOG(BDPRBB) SET LRDMS = LOG(RDMS) SET DMSSS = USSS/BDSS SMPL 80:1 95:4 SOURCE(NOECHO) D:\WINRATS\HPFILTER.SRC @HPFILTER BDSS 80:1 95:4 HPBDSS @HPFILTER USSS 80:1 95:4 HPUSSS @HPFILTER DMSPR 80:1 95:4 HPDMSPR SET HPDMSSS = HPUSSS/HPBDSS LINREG(DEFINE=LRDMSEQ) LRDMS / RESIDDMS ;* estimating the long-run equilibrium relationship equation "LRDMSEQ" # HPDMSSS HPDMSPR DIFF RESIDDMS 80:2 95:4 DRESIDDM DIFF LRDMS 80:2 95:4 DRDMS DIFF HPDMSSS 80:2 95:4 DDMSSS DIFF HPDMSPR 80:2 95:4 DDMSPR SYSTEM 1 TO 3 ;* estimating the error-correction model using residuals from "LRDMSEQ" VARIABLES DDMSSS DDMSPR DRDMS LAGS 1 TO 8 DET CONSTANT RESIDDMS{1} ;*SEASONS{-2 to 0} END(SYSTEM) DEC VECT[SERIES] RESIDS(3) ESTIMATE(OUTSIGMA=V) / RESIDS(1) *PRINT / RESIDS(1) RESIDS(2) RESIDS(3) SMPL 80:1 99:2 print / bdss usss @HPFILTER BDSS 80:1 99:2 HPBDSS @HPFILTER USSS 80:1 99:2 HPUSSS @HPFILTER DMSPR 80:1 99:2 HPDMSPR SET HPDMSSS = HPUSSS/HPBDSS print / hpbdss hpusss hpdmsss lrdms DIFF RESIDDMS 80:2 99:2 DRESIDDM DIFF LRDMS 80:2 99:2 DRDMS DIFF HPDMSSS 80:2 99:2 DDMSSS DIFF HPDMSPR 80:2 99:2 DDMSPR print / dresiddm drdms ddmsss ddmspr STEPS(PRINT) 1 69 1982:2 ;* doing STEPS for out-of-sumple forecast 96:1 to 99:2 # 3 DRDMSESHORT GRAPH(KEY=UPLEFT,HEADER='') 2 ;* change the header # DRDMS # DRDMSESHORT This is the output. *********************************************************************** ENTRY DRESIDDM DRDMS DDMSSS DDMSPR 1980:01 NA NA NA NA 1980:02 -0.038315394774 -0.048957037018 -0.007023459482 -0.001574487662 1980:03 0.016192379132 0.005508572183 -0.007020438543 -0.001588083140 1980:04 0.104167795740 0.093343967071 -0.007032478287 -0.001627997370 1981:01 0.052245805116 0.041138922365 -0.007084090388 -0.001702172966 1981:02 0.099821716776 0.088286810779 -0.007177850333 -0.001810586453 1981:03 0.004225968338 -0.007821908274 -0.007288022945 -0.001941053373 1981:04 -0.026383563114 -0.038931466895 -0.007348006504 -0.002079597754 1982:01 0.056144520454 0.043136225188 -0.007349102366 -0.002220139150 1982:02 0.027584358433 0.014226865877 -0.007243911775 -0.002352148166 1982:03 0.046943245913 0.033376367400 -0.006997575333 -0.002475215897 1982:04 -0.010159667822 -0.023827380425 -0.006612706871 -0.002598259624 1983:01 -0.017223810839 -0.030922562865 -0.006110389906 -0.002728063548 1983:02 0.085065262973 0.071423822699 -0.005523197872 -0.002851140456 1983:03 0.047603266140 0.034114597179 -0.004908758483 -0.002951500113 1983:04 0.049734091054 0.036487187855 -0.004307145403 -0.003021501354 1984:01 -0.059579879933 -0.072543698561 -0.003759794895 -0.003065769596 1984:02 0.064509106251 0.051847710355 -0.003300644680 -0.003082869452 1984:03 0.105810858473 0.093431374115 -0.002947382809 -0.003080715409 1984:04 0.035566676229 0.023444174378 -0.002682071480 -0.003064921481 1985:01 0.095705354613 0.083919694834 -0.002462778408 -0.003013468351 1985:02 -0.099513498548 -0.110888821851 -0.002266520086 -0.002933771496 1985:03 -0.046841620769 -0.057775671454 -0.002086703394 -0.002840382833 1985:04 -0.124009435368 -0.134503085495 -0.001914315888 -0.002745148136 1986:01 -0.098566869757 -0.108663801348 -0.001754090817 -0.002659984652 1986:02 -0.011455199855 -0.021221008979 -0.001615560078 -0.002589275602 1986:03 -0.060216318247 -0.069740929189 -0.001498133679 -0.002540569465 1986:04 -0.008825707897 -0.018193210806 -0.001387956275 -0.002515377729 1987:01 -0.077938910524 -0.087240789253 -0.001279828857 -0.002517190191 1987:02 -0.008066931727 -0.017412378848 -0.001197184135 -0.002545803025 1987:03 0.002075233666 -0.007432597417 -0.001171685715 -0.002596583193 1987:04 -0.108414089748 -0.118144995656 -0.001191328669 -0.002654667559 1988:01 0.028888287573 0.018883708778 -0.001250439799 -0.002718377831 1988:02 0.057457831317 0.047167571820 -0.001339988715 -0.002778153573 1988:03 0.073744356912 0.063194352674 -0.001429910645 -0.002829693660 1988:04 -0.072529660171 -0.083292062298 -0.001518114976 -0.002867080992 1989:01 0.081939239350 0.071030356934 -0.001586556075 -0.002889118040 1989:02 0.081452483513 0.070469538635 -0.001626094501 -0.002896197722 1989:03 -0.005644329968 -0.016633624980 -0.001634961358 -0.002890410141 1989:04 -0.141942995353 -0.152862332074 -0.001598316237 -0.002872945686 1990:01 0.002017669040 -0.008734415795 -0.001495013984 -0.002842755456 1990:02 0.001255209521 -0.009224364639 -0.001317306198 -0.002799605671 1990:03 -0.076901293509 -0.086997695734 -0.001061400452 -0.002743144255 1990:04 -0.041159304673 -0.050781637215 -0.000722411387 -0.002681018652 1991:01 0.075368705390 0.066319937242 -0.000289324411 -0.002613719844 1991:02 0.119723657179 0.111297852424 0.000220919778 -0.002553049443 1991:03 -0.041771764214 -0.049617533877 0.000764338974 -0.002517323948 1991:04 -0.053230942275 -0.060652900652 0.001302100066 -0.002532572187 1992:01 0.075694289220 0.068475106461 0.001811253918 -0.002613861008 1992:02 -0.055701574578 -0.062960143985 0.002274128634 -0.002764220424 1992:03 -0.040036098006 -0.047608090399 0.002687680466 -0.002993497225 1992:04 0.068873742828 0.060654823501 0.003028976263 -0.003315264837 1993:01 0.068713530660 0.059501943388 0.003292325231 -0.003732775528 1993:02 -0.002419997431 -0.012928488337 0.003476236951 -0.004233824181 1993:03 -0.012879109302 -0.024884163402 0.003597900231 -0.004791285377 1993:04 0.086776005794 0.073224189034 0.003670497798 -0.005363240789 1994:01 0.005411506014 -0.009604068873 0.003703389865 -0.005911652584 1994:02 -0.018925330015 -0.035235560241 0.003693350076 -0.006409649928 1994:03 -0.039901129420 -0.057268907284 0.003650458968 -0.006838777173 1994:04 0.031820299196 0.013670057853 0.003575802168 -0.007187266081 1995:01 -0.099812149241 -0.118462651311 0.003478502772 -0.007454287045 1995:02 0.028556203186 0.009654694406 0.003353730066 -0.007647423154 1995:03 0.073475310830 0.054470472630 0.003202349702 -0.007796005140 1995:04 -0.012287926970 -0.031309344974 0.003015696087 -0.007913968295 1996:01 NA 0.020835637967 0.002786330227 -0.008015538310 1996:02 NA 0.030500749977 0.002510789730 -0.008102504283 1996:03 NA -0.012863441628 0.002207681635 -0.008166350997 1996:04 NA 0.019759076304 0.001898090778 -0.008198398036 1997:01 NA 0.091647112304 0.001588866538 -0.008191434086 1997:02 NA 0.021368688232 0.001286180312 -0.008149209972 1997:03 NA 0.008663045451 0.001000498189 -0.008072793068 1997:04 NA 0.002015865642 0.000752004353 -0.007966230289 1998:01 NA 0.025015166778 0.000554133177 -0.007839213891 1998:02 NA 0.001792988771 0.000403357287 -0.007705880603 1998:03 NA -0.072284321789 0.000297989907 -0.007580205800 1998:04 NA -0.016253453901 0.000247653004 -0.007479596033 1999:01 NA 0.073283326658 0.000233723064 -0.007413853924 1999:02 NA 0.051639565704 0.000234176558 -0.007387913962 Entry DRDMS 1982:02 0.026427733533 0.014226865877 1982:03 0.038110847223 0.033376367400 1982:04 -0.012595589943 -0.023827380425 1983:01 0.018336975395 -0.030922562865 1983:02 0.048820730447 0.071423822699 1983:03 0.016771876548 0.034114597179 1983:04 0.013818105905 0.036487187855 1984:01 -0.009732713324 -0.072543698561 1984:02 0.034938761305 0.051847710355 1984:03 0.035805230492 0.093431374115 1984:04 0.019995820288 0.023444174378 1985:01 0.018404836697 0.083919694834 1985:02 -0.059558711181 -0.110888821851 1985:03 -0.022461411844 -0.057775671454 1985:04 -0.115368100103 -0.134503085495 1986:01 -0.128413312068 -0.108663801348 1986:02 -0.058167288840 -0.021221008979 1986:03 -0.072595771003 -0.069740929189 1986:04 -0.014372375061 -0.018193210806 1987:01 -0.083650034318 -0.087240789253 1987:02 -0.024007269181 -0.017412378848 1987:03 -0.029970243870 -0.007432597417 1987:04 -0.033372063771 -0.118144995656 1988:01 0.053995077278 0.018883708778 1988:02 0.023061541894 0.047167571820 1988:03 0.051901674771 0.063194352674 1988:04 -0.027286596166 -0.083292062298 1989:01 0.046114368132 0.071030356934 1989:02 0.038586732798 0.070469538635 1989:03 -0.075022083148 -0.016633624980 1989:04 -0.146966529641 -0.152862332074 1990:01 -0.038014768733 -0.008734415795 1990:02 0.018541779077 -0.009224364639 1990:03 -0.080324638015 -0.086997695734 1990:04 -0.025051956681 -0.050781637215 1991:01 0.067602464865 0.066319937242 1991:02 0.075365571817 0.111297852424 1991:03 -0.079240191578 -0.049617533877 1991:04 -0.017395860241 -0.060652900652 1992:01 0.049963961301 0.068475106461 1992:02 0.023365568555 -0.062960143985 1992:03 -0.010989279312 -0.047608090399 1992:04 0.056660361018 0.060654823501 1993:01 0.103276127488 0.059501943388 1993:02 -0.003828780110 -0.012928488337 1993:03 -0.022816154615 -0.024884163402 1993:04 0.072738039274 0.073224189034 1994:01 -0.005637608796 -0.009604068873 1994:02 -0.085731334357 -0.035235560241 1994:03 -0.060384276078 -0.057268907284 1994:04 0.000602285096 0.013670057853 1995:01 -0.011021685649 -0.118462651311 1995:02 0.006668122988 0.009654694406 1995:03 0.026525632964 0.054470472630 1995:04 -0.083586088165 -0.031309344974 1996:01 -0.198780401663 0.020835637967 1996:02 NA 0.030500749977 1996:03 NA -0.012863441628 1996:04 NA 0.019759076304 1997:01 NA 0.091647112304 1997:02 NA 0.021368688232 1997:03 NA 0.008663045451 1997:04 NA 0.002015865642 1998:01 NA 0.025015166778 1998:02 NA 0.001792988771 1998:03 NA -0.072284321789 1998:04 NA -0.016253453901 1999:01 NA 0.073283326658 1999:02 NA 0.051639565704 ------=_NextPart_001_0016_01BEE5A6.E640F0A0 Content-Type: text/html; charset="iso-2022-jp" Content-Transfer-Encoding: quoted-printable
Dear RATS Users:
 
I am constructing a VAR model with error-correction = term using=20 HP filtered data.
After having estimated the model using 80:1 to = 95:4 data=20 , I tried to do STEPS for
out-of-sumple forecast 96:1 to 99:2 in order to get = forecasted=20 "DRDMS" ( using
"real" two dataseriese "DDMSSS" and=20 "DDMSPR" , which were so-called
independent variables). But I couldn't get = forecasted values 96:1 to 99:2. =
Because I couldn't get residuals=20 "RESIDDMS" from 96:1 to 99:2 , which = were
calculated from the long-run equilibrium = relationship equation "LRDMSEQ".
 
How can I get forecasted values?
I would really appreciate any help or = advice.
 
Sincerely,
 
 
Jun Tomida
Sanwa Asset Management Co.,=20 Ltd.
1-1-3,OTEMACHI,CHIYODA-KU
TOKYO,100-0004
JAPAN
e-mail : = jtomida@bc.mbn.or.jp
voice : = 81-3-3214-3887=20
 
 
 
This is the program.
***************************************
CAL 1980 1 4
ALL 1999:2
 
OPEN DATA D:\WINRATS\WORK\NATREXTX.RAT
 
DATA(FORMAT=3DRAT) / BDSS BDPRBB USSS USPR RDMS
SEASONAL SEASONS = 1980:1=20 2001:3
 
SET DMSPR =3D LOG(USPR)-LOG(BDPRBB)
SET LRDMS =3D = LOG(RDMS)
SET DMSSS =3D=20 USSS/BDSS
 
SMPL 80:1 95:4
 
SOURCE(NOECHO) D:\WINRATS\HPFILTER.SRC
@HPFILTER BDSS 80:1 95:4=20 HPBDSS
@HPFILTER USSS 80:1 95:4 HPUSSS
@HPFILTER DMSPR 80:1 95:4=20 HPDMSPR
SET HPDMSSS =3D HPUSSS/HPBDSS
 
LINREG(DEFINE=3DLRDMSEQ) LRDMS /=20 RESIDDMS           = ;        =20          ;* estimating the = long-run=20 equilibrium relationship equation "LRDMSEQ"
# = HPDMSSS=20 HPDMSPR
 
DIFF RESIDDMS 80:2 95:4 DRESIDDM
DIFF LRDMS 80:2 95:4 = DRDMS
DIFF=20 HPDMSSS 80:2 95:4=20 DDMSSS           &= nbsp;           &n= bsp;           &nb= sp;    =20
DIFF HPDMSPR 80:2 95:4 DDMSPR
 
SYSTEM 1 TO=20 3            =             &= nbsp;           &n= bsp;           &nb= sp;           &nbs= p;            = ;=20 ;* estimating the error-correction model using residuals from=20 "LRDMSEQ" 
VARIABLES DDMSSS DDMSPR DRDMS 
LAGS 1 TO = 8
DET=20 CONSTANT RESIDDMS{1}      ;*SEASONS{-2 to=20 0}
END(SYSTEM)
DEC VECT[SERIES] = RESIDS(3)
ESTIMATE(OUTSIGMA=3DV) /=20 RESIDS(1)
*PRINT / RESIDS(1) RESIDS(2) RESIDS(3)
 
SMPL 80:1 99:2
print / bdss usss
@HPFILTER BDSS 80:1 99:2=20 HPBDSS
@HPFILTER USSS 80:1 99:2 HPUSSS
@HPFILTER DMSPR 80:1 99:2=20 HPDMSPR
SET HPDMSSS =3D HPUSSS/HPBDSS
print / hpbdss hpusss = hpdmsss=20 lrdms
DIFF RESIDDMS 80:2 99:2 DRESIDDM
DIFF LRDMS 80:2 99:2 = DRDMS
DIFF=20 HPDMSSS 80:2 99:2=20 DDMSSS           &= nbsp;           &n= bsp;           &nb= sp;     
DIFF=20 HPDMSPR 80:2 99:2 DDMSPR
print / dresiddm drdms ddmsss = ddmspr
STEPS(PRINT)=20 1 69=20 1982:2           &= nbsp;           &n= bsp;           &nb= sp;           &nbs= p;         =20 ;* doing STEPS for out-of-sumple forecast 96:1 = to=20 99:2
# 3 DRDMSESHORT
 
GRAPH(KEY=3DUPLEFT,HEADER=3D'') 2    ;* change the = header
#=20 DRDMS
# DRDMSESHORT
 
 
This is the output.
********************************************************************= ***
 ENTRY       =20 DRESIDDM        =20 DRDMS          =20 DDMSSS         =20 DDMSPR
 1980:01       =20 NA            = ; =20 NA            = ; =20 NA            = ; =20 NA
 1980:02  -0.038315394774 -0.048957037018 = -0.007023459482=20 -0.001574487662
 1980:03   0.016192379132  = 0.005508572183=20 -0.007020438543 -0.001588083140
 1980:04  =20 0.104167795740  0.093343967071 -0.007032478287=20 -0.001627997370
 1981:01   0.052245805116  = 0.041138922365=20 -0.007084090388 -0.001702172966
 1981:02  =20 0.099821716776  0.088286810779 -0.007177850333=20 -0.001810586453
 1981:03   0.004225968338 = -0.007821908274=20 -0.007288022945 -0.001941053373
 1981:04  -0.026383563114=20 -0.038931466895 -0.007348006504 = -0.002079597754
 1982:01  =20 0.056144520454  0.043136225188 -0.007349102366=20 -0.002220139150
 1982:02   0.027584358433  = 0.014226865877=20 -0.007243911775 -0.002352148166
 1982:03  =20 0.046943245913  0.033376367400 -0.006997575333=20 -0.002475215897
 1982:04  -0.010159667822 -0.023827380425=20 -0.006612706871 -0.002598259624
 1983:01  -0.017223810839=20 -0.030922562865 -0.006110389906 = -0.002728063548
 1983:02  =20 0.085065262973  0.071423822699 -0.005523197872=20 -0.002851140456
 1983:03   0.047603266140  = 0.034114597179=20 -0.004908758483 -0.002951500113
 1983:04  =20 0.049734091054  0.036487187855 -0.004307145403=20 -0.003021501354
 1984:01  -0.059579879933 -0.072543698561=20 -0.003759794895 -0.003065769596
 1984:02  =20 0.064509106251  0.051847710355 -0.003300644680=20 -0.003082869452
 1984:03   0.105810858473  = 0.093431374115=20 -0.002947382809 -0.003080715409
 1984:04  =20 0.035566676229  0.023444174378 -0.002682071480=20 -0.003064921481
 1985:01   0.095705354613  = 0.083919694834=20 -0.002462778408 -0.003013468351
 1985:02  -0.099513498548=20 -0.110888821851 -0.002266520086 -0.002933771496
 1985:03 =20 -0.046841620769 -0.057775671454 -0.002086703394=20 -0.002840382833
 1985:04  -0.124009435368 -0.134503085495=20 -0.001914315888 -0.002745148136
 1986:01  -0.098566869757=20 -0.108663801348 -0.001754090817 -0.002659984652
 1986:02 =20 -0.011455199855 -0.021221008979 -0.001615560078=20 -0.002589275602
 1986:03  -0.060216318247 -0.069740929189=20 -0.001498133679 -0.002540569465
 1986:04  -0.008825707897=20 -0.018193210806 -0.001387956275 -0.002515377729
 1987:01 =20 -0.077938910524 -0.087240789253 -0.001279828857=20 -0.002517190191
 1987:02  -0.008066931727 -0.017412378848=20 -0.001197184135 -0.002545803025
 1987:03   = 0.002075233666=20 -0.007432597417 -0.001171685715 -0.002596583193
 1987:04 =20 -0.108414089748 -0.118144995656 -0.001191328669=20 -0.002654667559
 1988:01   0.028888287573  = 0.018883708778=20 -0.001250439799 -0.002718377831
 1988:02  =20 0.057457831317  0.047167571820 -0.001339988715=20 -0.002778153573
 1988:03   0.073744356912  = 0.063194352674=20 -0.001429910645 -0.002829693660
 1988:04  -0.072529660171=20 -0.083292062298 -0.001518114976 = -0.002867080992
 1989:01  =20 0.081939239350  0.071030356934 -0.001586556075=20 -0.002889118040
 1989:02   0.081452483513  = 0.070469538635=20 -0.001626094501 -0.002896197722
 1989:03  -0.005644329968=20 -0.016633624980 -0.001634961358 -0.002890410141
 1989:04 =20 -0.141942995353 -0.152862332074 -0.001598316237=20 -0.002872945686
 1990:01   0.002017669040 = -0.008734415795=20 -0.001495013984 -0.002842755456
 1990:02   = 0.001255209521=20 -0.009224364639 -0.001317306198 -0.002799605671
 1990:03 =20 -0.076901293509 -0.086997695734 -0.001061400452=20 -0.002743144255
 1990:04  -0.041159304673 -0.050781637215=20 -0.000722411387 -0.002681018652
 1991:01  =20 0.075368705390  0.066319937242 -0.000289324411=20 -0.002613719844
 1991:02   0.119723657179 =20 0.111297852424  0.000220919778 = -0.002553049443
 1991:03 =20 -0.041771764214 -0.049617533877  0.000764338974=20 -0.002517323948
 1991:04  -0.053230942275 = -0.060652900652 =20 0.001302100066 -0.002532572187
 1992:01   = 0.075694289220 =20 0.068475106461  0.001811253918 = -0.002613861008
 1992:02 =20 -0.055701574578 -0.062960143985  0.002274128634=20 -0.002764220424
 1992:03  -0.040036098006 = -0.047608090399 =20 0.002687680466 -0.002993497225
 1992:04   = 0.068873742828 =20 0.060654823501  0.003028976263 = -0.003315264837
 1993:01  =20 0.068713530660  0.059501943388  0.003292325231=20 -0.003732775528
 1993:02  -0.002419997431 = -0.012928488337 =20 0.003476236951 -0.004233824181
 1993:03  -0.012879109302=20 -0.024884163402  0.003597900231=20 -0.004791285377
 1993:04   0.086776005794 =20 0.073224189034  0.003670497798 = -0.005363240789
 1994:01  =20 0.005411506014 -0.009604068873  0.003703389865=20 -0.005911652584
 1994:02  -0.018925330015 = -0.035235560241 =20 0.003693350076 -0.006409649928
 1994:03  -0.039901129420=20 -0.057268907284  0.003650458968=20 -0.006838777173
 1994:04   0.031820299196 =20 0.013670057853  0.003575802168 = -0.007187266081
 1995:01 =20 -0.099812149241 -0.118462651311  0.003478502772=20 -0.007454287045
 1995:02   0.028556203186 =20 0.009654694406  0.003353730066 = -0.007647423154
 1995:03  =20 0.073475310830  0.054470472630  0.003202349702=20 -0.007796005140
 1995:04  -0.012287926970 = -0.031309344974 =20 0.003015696087=20 -0.007913968295
 1996:01       = ;=20 NA         0.020835637967 =20 0.002786330227=20 -0.008015538310
 1996:02       = ;=20 NA         0.030500749977 =20 0.002510789730=20 -0.008102504283
 1996:03       = ;=20 NA        -0.012863441628 =20 0.002207681635=20 -0.008166350997
 1996:04       = ;=20 NA         0.019759076304 =20 0.001898090778=20 -0.008198398036
 1997:01       = ;=20 NA         0.091647112304 =20 0.001588866538=20 -0.008191434086
 1997:02       = ;=20 NA         0.021368688232 =20 0.001286180312=20 -0.008149209972
 1997:03       = ;=20 NA         0.008663045451 =20 0.001000498189=20 -0.008072793068
 1997:04       = ;=20 NA         0.002015865642 =20 0.000752004353=20 -0.007966230289
 1998:01       = ;=20 NA         0.025015166778 =20 0.000554133177=20 -0.007839213891
 1998:02       = ;=20 NA         0.001792988771 =20 0.000403357287=20 -0.007705880603
 1998:03       = ;=20 NA        -0.072284321789 =20 0.000297989907=20 -0.007580205800
 1998:04       = ;=20 NA        -0.016253453901 =20 0.000247653004=20 -0.007479596033
 1999:01       = ;=20 NA         0.073283326658 =20 0.000233723064=20 -0.007413853924
 1999:02       = ;=20 NA         0.051639565704 =20 0.000234176558 -0.007387913962
 
 
 
  =20 Entry           =20 DRDMS
      1982:02  =20 0.026427733533
         &= nbsp;     =20 0.014226865877
      1982:03  =20 0.038110847223
         &= nbsp;     =20 0.033376367400
      1982:04 =20 -0.012595589943
         =      =20 -0.023827380425
      1983:01  =20 0.018336975395
         &= nbsp;    =20 -0.030922562865
      1983:02  =20 0.048820730447
         &= nbsp;     =20 0.071423822699
      1983:03  =20 0.016771876548
         &= nbsp;     =20 0.034114597179
      1983:04  =20 0.013818105905
         &= nbsp;     =20 0.036487187855
      1984:01 =20 -0.009732713324
         =      =20 -0.072543698561
      1984:02  =20 0.034938761305
         &= nbsp;     =20 0.051847710355
      1984:03  =20 0.035805230492
         &= nbsp;     =20 0.093431374115
      1984:04  =20 0.019995820288
         &= nbsp;     =20 0.023444174378
      1985:01  =20 0.018404836697
         &= nbsp;     =20 0.083919694834
      1985:02 =20 -0.059558711181
         =      =20 -0.110888821851
      1985:03 =20 -0.022461411844
         =      =20 -0.057775671454
      1985:04 =20 -0.115368100103
         =      =20 -0.134503085495
      1986:01 =20 -0.128413312068
         =      =20 -0.108663801348
      1986:02 =20 -0.058167288840
         =      =20 -0.021221008979
      1986:03 =20 -0.072595771003
         =      =20 -0.069740929189
      1986:04 =20 -0.014372375061
         =      =20 -0.018193210806
      1987:01 =20 -0.083650034318
         =      =20 -0.087240789253
      1987:02 =20 -0.024007269181
         =      =20 -0.017412378848
      1987:03 =20 -0.029970243870
         =      =20 -0.007432597417
      1987:04 =20 -0.033372063771
         =      =20 -0.118144995656
      1988:01  =20 0.053995077278
         &= nbsp;     =20 0.018883708778
      1988:02  =20 0.023061541894
         &= nbsp;     =20 0.047167571820
      1988:03  =20 0.051901674771
         &= nbsp;     =20 0.063194352674
      1988:04 =20 -0.027286596166
         =      =20 -0.083292062298
      1989:01  =20 0.046114368132
         &= nbsp;     =20 0.071030356934
      1989:02  =20 0.038586732798
         &= nbsp;     =20 0.070469538635
      1989:03 =20 -0.075022083148
         =      =20 -0.016633624980
      1989:04 =20 -0.146966529641
         =      =20 -0.152862332074
      1990:01 =20 -0.038014768733
         =      =20 -0.008734415795
      1990:02  =20 0.018541779077
         &= nbsp;    =20 -0.009224364639
      1990:03 =20 -0.080324638015
         =      =20 -0.086997695734
      1990:04 =20 -0.025051956681
         =      =20 -0.050781637215
      1991:01  =20 0.067602464865
         &= nbsp;     =20 0.066319937242
      1991:02  =20 0.075365571817
         &= nbsp;     =20 0.111297852424
      1991:03 =20 -0.079240191578
         =      =20 -0.049617533877
      1991:04 =20 -0.017395860241
         =      =20 -0.060652900652
      1992:01  =20 0.049963961301
         &= nbsp;     =20 0.068475106461
      1992:02  =20 0.023365568555
         &= nbsp;    =20 -0.062960143985
      1992:03 =20 -0.010989279312
         =      =20 -0.047608090399
      1992:04  =20 0.056660361018
         &= nbsp;     =20 0.060654823501
      1993:01  =20 0.103276127488
         &= nbsp;     =20 0.059501943388
      1993:02 =20 -0.003828780110
         =      =20 -0.012928488337
      1993:03 =20 -0.022816154615
         =      =20 -0.024884163402
      1993:04  =20 0.072738039274
         &= nbsp;     =20 0.073224189034
      1994:01 =20 -0.005637608796
         =      =20 -0.009604068873
      1994:02 =20 -0.085731334357
         =      =20 -0.035235560241
      1994:03 =20 -0.060384276078
         =      =20 -0.057268907284
      1994:04  =20 0.000602285096
         &= nbsp;     =20 0.013670057853
      1995:01 =20 -0.011021685649
         =      =20 -0.118462651311
      1995:02  =20 0.006668122988
         &= nbsp;     =20 0.009654694406
      1995:03  =20 0.026525632964
         &= nbsp;     =20 0.054470472630
      1995:04 =20 -0.083586088165
         =      =20 -0.031309344974
      1996:01 =20 -0.198780401663
         =       =20 0.020835637967
     =20 1996:02       =20 NA
           &= nbsp;   =20 0.030500749977
     =20 1996:03       =20 NA
           &= nbsp;  =20 -0.012863441628
     =20 1996:04       =20 NA
           &= nbsp;   =20 0.019759076304
     =20 1997:01       =20 NA
           &= nbsp;   =20 0.091647112304
     =20 1997:02       =20 NA
           &= nbsp;   =20 0.021368688232
     =20 1997:03       =20 NA
           &= nbsp;   =20 0.008663045451
     =20 1997:04       =20 NA
           &= nbsp;   =20 0.002015865642
     =20 1998:01       =20 NA
           &= nbsp;   =20 0.025015166778
     =20 1998:02       =20 NA
           &= nbsp;   =20 0.001792988771
     =20 1998:03       =20 NA
           &= nbsp;  =20 -0.072284321789
     =20 1998:04       =20 NA
           &= nbsp;  =20 -0.016253453901
     =20 1999:01       =20 NA
           &= nbsp;   =20 0.073283326658
     =20 1999:02       =20 NA
           &= nbsp;   =20 0.051639565704
 

 
  =20
 
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To: "RATS Discussion List" Subject: Generation of a reverse realisation of a time series. Date: Mon, 16 Aug 1999 18:28:40 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Microsoft Internet E-mail/MAPI - 8.0.0.4211 (via Mercury MTS (Bindery) v1.40) Dear Rats users, I would like to generate the reverse realisations of several monthly and quarterly time series that I am working with. This is my problem. I have a time series Y(t), t = 1,....,T, and I want to generate a Z(t), t=1,...,T as Z(1) = Y(T), Z(2) = Y(T-1),....., Z(T) = Y(1). (Thus Z(t) is the reverse realisation of Y(t)). Can anyone suggest how I may go about doing this? Sincerely Myrvin Anthony ---------- End of message ---------- From: "Tom Maycock" To: "RATS Discussion List" Subject: Re: Generation of a reverse realisation of a time series. Date: Mon, 16 Aug 1999 16:41:12 -0600 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Estima MIME-Version: 1.0 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7BIT X-mailer: Pegasus Mail for Win32 (v3.11) (via Mercury MTS (Bindery) v1.40) > I would like to generate the reverse realisations of several monthly and > quarterly time series that I am working with. This is my problem. I have a > time series Y(t), t = 1,....,T, and I want to generate a Z(t), t=1,...,T as > Z(1) = Y(T), Z(2) = Y(T-1),....., Z(T) = Y(1). (Thus Z(t) is the reverse > realisation of Y(t)). > Myrvin: There are a couple of ways to do this. First, you can always use SET and the "T" subscript (or lag/lead notation). For example, this sample program creates Y (as a trend sereis so you can see the results easily), and then sets Z as the reverse of Y: all 10 compute lastobs = 10 set Y = t set Z = Y(lastobs-t+1) print You can also use the ORDER command to flip the ordering of a series. Just define a trend series, set Z equal to Y, use order to sort the trend series in descending order, and include your Z series on the list of additional series to be sorted along with the trend series. For example: all 10 set y = t**2 set trend = t print set z = y order(decreasing) trend / z print Sincerely, Tom Maycock Estima -- ------------------------------------------------------------ | Estima | Sales: (800) 822-8038 | | P.O. Box 1818 | (847) 864-8772 | | Evanston, IL 60204-1818 | Support: (847) 864-1910 | | USA | Fax: (847) 864-6221 | | http://www.estima.com | estima@estima.com | ------------------------------------------------------------ ---------- End of message ---------- From: Ferdaus Hossain To: "RATS Discussion List" Subject: Zivot and Andrews' unit root test Date: Wed, 18 Aug 1999 12:08:41 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-version: 1.0 X-Mailer: Microsoft Outlook Express 5.00.2314.1300 (via Mercury MTS (Bindery) v1.40) Content-type: text/plain; charset="iso-8859-1" Content-transfer-encoding: 7bit Dear Rats users: Could someone please help me find the Rats procedure that implements the Zivot and Andrews unit-root test (Ref: Zivot and Andrews (1992): Further evidence on great crash, hte oil-price shock, and the unit-root hypothesis, Journal of Business and Economic Statistics, Vol. 10 No. 3). Thank you in advance. Sincerely Ferdaus Hosain Rutgers University email: hossain@aesop.rutgers.edu ---------- End of message ---------- From: Binelli Maurizio To: "RATS Discussion List" Subject: FIND Function Date: Wed, 18 Aug 1999 19:14:41 +0200 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 X-Mailer: Internet Mail Service (5.0.1460.8) (via Mercury MTS (Bindery) v1.40) Content-Type: text/plain; Content-Transfer-Encoding: quoted-printable Dear Rats People, I'm trying to optimize some hyperparameter regarding forecast performance statistics (Theil) of my own built BVAR using the the = function FIND. The problem as it's possible see below, refers to the output of = that function: 1-it shows 9 parameters (number of variables in the system) = 2- something very strange at the last row. Moreover, I would like to "automatically" the result of that function. I wuold be very grateful for any help on the topic of BVAR prior optimization. Thank you in advance! Maurizio OUTPUT: Estimation by Simplex Variable Coeff ***************************************** 1. REL104 0.05199 2. REL105 0.01356 3. REL107 7.78856e-004 4. REL108 5.92050e-005 5. REL109 0.00584 6. 4.78093e+180 7. 2.85747e+161 8. 2.31368e-152 9. =B6=EF^=8FD'??=F4=F2=DD=FB=BA~=A6? 8.80067e+199 ---------- End of message ---------- From: "Dr. J. Dannenbaum" To: "RATS Discussion List" Subject: MAXIMIZE and the treatment of negative values Date: Thu, 19 Aug 1999 11:28:32 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Universität Hamburg X-Mailer: Microsoft Internet E-Mail/MAPI - 8.0.0.4211 (via Mercury MTS (Bindery) v1.40) Hello, I want to test for the hyperparameter of a Kalman filter using the maximum likelihood function and MAXIMIZE(method = BFGS). As the hyperparameter contains standard errors (or variances), negative values makes no sence. I chose to maximize over standard errors, which will be squared in the frml instruction (see below). My questions: a) Is the BFGS procedure still valid? b) Can I use the marginal significance for the estimated standard errors to get information on the significance of the variance? c) Can I simply drop the negative sign on the calculate standard errors, given by MAXIMIZE? Thanks Joachim The RATS code looks essentially like: nonlin sigma om11 om33 compute sigma = sqrt(sigmastart) compute om11 = sqrt(varianz(1)) compute om33 = sqrt(varianz(2)) frml logl = $ (omega = %diag(||om11*om11,om33*om33||)), $ (beta = ||gamma(1,t-1)|gamma(2,t-1)||), $ (pm = ||p(1,t-1),p(2,t-1)| $ p(3,t-1),p(4,t-1)| $ (x = ||1.0,lnysa(t)||), (gamtt = trans*beta), $ (ptt = trans*pm*tr(trans)+r*omega*tr(r)), (ytt = x*gamtt), $ (error = lnlsa(t)-ytt(1,1)), (f = sigma*sigma + x*ptt*tr(x)), $ (kg = (1.0/f(1,1))*ptt*tr(x)), (beta = gamtt + kg*error), $ (pm = ptt - kg*x*ptt), (gamma(1,t)=beta(1,1)), $ (gamma(2,t)=beta(2,1)),$ (p(1,t)=pm(1,1)),(p(2,t)=pm(1,2)),(p(3,t)=pm(1,3)),(p(4,t)=pm(2,1)), $ (-0.5) * (log(f(1,1))+error*error/f(1,1)) nlpar(sub=1000,criterion=value,cvcrit=0.00000001) maximize(method=simplex,iterations=5,recursive) logl 1960:2 1994:4 maximize(method=bfgs,iterations=200,recursive) logl 1960:2 1994:4 ------------------------------------------------------------------------ ---- Dr. Joachim Dannenbaum Institut fuer Aussenhandel und Wirtschaftsintegration Universitaet Hamburg Von-Melle-Park 5 20146 Hamburg ------------------------------------------------------------------------ ---- ---------- End of message ---------- From: Binelli Maurizio To: "RATS Discussion List" Subject: FIND Function Date: Wed, 18 Aug 1999 19:14:41 +0200 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 X-Mailer: Internet Mail Service (5.0.1460.8) (via Mercury MTS (Bindery) v1.40) Content-Type: text/plain; Content-Transfer-Encoding: quoted-printable Dear Rats People, I'm trying to optimize some hyperparameter regarding forecast performance statistics (Theil) of my own built BVAR using the the = function FIND. The problem as it's possible see below, refers to the output of = that function: 1-it shows 9 parameters (number of variables in the system) = 2- something very strange at the last row. Moreover, I would like to "automatically" the result of that function. I wuold be very grateful for any help on the topic of BVAR prior optimization. Thank you in advance! Maurizio OUTPUT: Estimation by Simplex Variable Coeff ***************************************** 1. REL104 0.05199 2. REL105 0.01356 3. REL107 7.78856e-004 4. REL108 5.92050e-005 5. REL109 0.00584 6. 4.78093e+180 7. 2.85747e+161 8. 2.31368e-152 9. =B6=EF^=8FD'??=F4=F2=DD=FB=BA~=A6? 8.80067e+199 ---------- End of message ---------- From: Yong Glasure To: "RATS Discussion List" Subject: Date: 19 Aug 99 16:48:53 PDT Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: USANET web-mailer (M3.2.0.53) (via Mercury MTS (Bindery) v1.40) Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable Dear Colleague When I compiled my program, I received the following message: "SR4: Tried= to use Series Number -30. (-series n1 n2 triples are no longer legal." Does= anyone know how to correct this mistake? Thanks in advance. Yong U. Glasure = 5603 86th Street = Lubbock, Texas 79424 = (806) 798-3625 yglasure@netscape.net ____________________________________________________________________ Get your own FREE, personal Netscape WebMail account today at http://webm= ail.netscape.com. ---------- End of message ---------- From: Simon van Norden To: "RATS Discussion List" Subject: Re: negative series numbers Date: Thu, 19 Aug 1999 20:36:04 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Ecole des Hautes Etudes Commerciales X-Mailer: Mozilla 4.51 [en] (Win98; U) (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=iso-8859-1 Content-Transfer-Encoding: quoted-printable It's probably because you're using a procedure and giving it a supplement= ary card that lists several lags, such as=20 # constant x1 x2{1 to 4} The {1 to 4} causes the problem if the procedure uses the supplementary c= ard with an ENTER(VARYING) command. Trying defining SET X2L1 =3D X2(T-1) SET X2L2 =3D X2(T-2) etc.=20 Then use the supplementary card # CONSTANT X1 X2L1 X2L2 X2L3 X2L4 Yong Glasure wrote: >=20 > Dear Colleague >=20 > When I compiled my program, I received the following message: "SR4: Tri= ed to > use Series Number -30. (-series n1 n2 triples are no longer legal." Do= es > anyone know how to correct this mistake? >=20 > Thanks in advance. >=20 > Yong U. Glasure > 5603 86th Street > Lubbock, Texas 79424 > (806) 798-3625 > yglasure@netscape.net >=20 > ____________________________________________________________________ > Get your own FREE, personal Netscape WebMail account today at http://we= bmail.netscape.com. --=20 Simon van Norden, Prof. agr=E9g=E9, www.hec.ca/pages/simon.van-norden Service de l'enseignement de la finance, =C9cole des H.E.C. 3000 Cote-Sainte-Catherine, Montreal QC, CANADA H3T 2A7 simon.van-norden@hec.ca or (514)340-6781 or fax:(514)340-5632 ---------- End of message ---------- From: "Estima" To: "RATS Discussion List" Subject: Re: negative series numbers Date: Fri, 20 Aug 1999 09:57:45 -0600 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Estima MIME-Version: 1.0 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7BIT X-mailer: Pegasus Mail for Win32 (v3.11) (via Mercury MTS (Bindery) v1.40) > It's probably because you're using a procedure and giving it a supplementary > card that lists several lags, such as > > # constant x1 x2{1 to 4} > > The {1 to 4} causes the problem if the procedure uses the supplementary card > with an ENTER(VARYING) command. > > Trying defining > > SET X2L1 = X2(T-1) > SET X2L2 = X2(T-2) > etc. You can also use the supplementary card to define an equation, and then use the %EQNCOEFFS function to get the proper series/lag numbers off the regressor list (the problem with just trying to pull series numbers directly from the array is that RATS uses negative integers to code elements of the list like {, }, and "TO"). In any case, I suspect this probably isn't the cause of this particular problem (if it was, you'd see numbers like -32767, not -30). There are several other syntax mistakes that could potentially produce this kind of problem: > > When I compiled my program, I received the following message: "SR4: Tried to > > use Series Number -30. (-series n1 n2 triples are no longer legal." Does > > anyone know how to correct this mistake? To offer any further help, we'd need to know exactly which instruction produced the error message, and may in fact need to see the rest of the program (at least the parts that lead up to the error). Sincerely, Tom Maycock Estima -- ------------------------------------------------------------ | Estima | Sales: (800) 822-8038 | | P.O. Box 1818 | (847) 864-8772 | | Evanston, IL 60204-1818 | Support: (847) 864-1910 | | USA | Fax: (847) 864-6221 | | http://www.estima.com | estima@estima.com | ------------------------------------------------------------ ---------- End of message ---------- From: richard.priestley@bi.no To: "RATS Discussion List" Subject: Re: Andrews structural stability tests. Date: Mon, 23 Aug 1999 10:49:57 +0200 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Mime-Version: 1.0 Content-type: text/plain; charset=us-ascii X-Mailer: Mercury MTS (Bindery) v1.40 I have a garch-m model where the mean is a function of a set of instruments. I want to test for structural stability of the coefficients wrt the instruments using Andrews, 1993, Tests for parameter instability and structural change with unknown chnage point, Econometrica 61, 821-856, type tests. This type of test has been used by Ghysels, 1997, On stable factor structures in the pricing of risk...., Journal of Finance, in a GMM framework. Does anybody have RATS code for this type of test that may help me? Thanks in advance Richard Priestley Associate Professor of Financial Economics Department of Financial Economics Norwegian School of Management Elias Smiths vei 15 Sandvika N1301 Norway TEL: + 47 67557104 FAX: + 47 67557675 Email: richard.priestley@bi.no ---------- End of message ---------- From: "Paul Barry" To: "RATS Discussion List" Subject: Estimation for masters thesis Date: Tue, 24 Aug 1999 20:48:51 +0100 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: MIME-Version: 1.0 Content-Type: multipart/alternative; X-Mailer: Microsoft Outlook Express 5.00.2314.1300 (via Mercury MTS (Bindery) v1.40) This is a multi-part message in MIME format. ------=_NextPart_000_0009_01BEEE72.129B4280 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable hello, I have just started using rats as previously I used shazam and so I am a = novice. I would be very grateful for any help in the following areas. 1) applying Johansen's maximum likelihood procedure for estimating = cointegration relationships. 2) unit root testing 3) using the vector error correction model in cointegration analysis 4) testing for the existence of 0 or more cointegrating vectors 5) determining the lag order of the model 6) applying ordinary least squares 7) applying restrictions to the ordinary least squares estimates. thank you, Stephen. ------=_NextPart_000_0009_01BEEE72.129B4280 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable
hello,
I have just started using rats as = previously I used=20 shazam and so I am a novice.
I would be very grateful for any help = in the=20 following areas.
1) applying Johansen's maximum = likelihood procedure=20 for estimating cointegration relationships.
2) unit root testing
3) using the vector error correction = model in=20 cointegration analysis
4) testing for the existence of 0 or = more=20 cointegrating vectors
5) determining the lag order of the=20 model
6) applying ordinary least = squares
7) applying restrictions to the = ordinary least=20 squares estimates.
 
thank you,
Stephen.
------=_NextPart_000_0009_01BEEE72.129B4280-- ---------- End of message ---------- From: "Gregory, Richard" To: "RATS Discussion List" Subject: RE: Estimation for masters thesis Date: Tue, 24 Aug 1999 16:05:04 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 X-Mailer: Internet Mail Service (5.5.2448.0) (via Mercury MTS (Bindery) v1.40) Content-Type: text/plain; You should be able to find many of these at www.estima.com -----Original Message----- From: Paul Barry [mailto:barnett@tinet.ie] Sent: Tuesday, August 24, 1999 3:49 PM To: RATS Discussion List Subject: Estimation for masters thesis This is a multi-part message in MIME format. ------=_NextPart_000_0009_01BEEE72.129B4280 Content-Type: text/plain; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable hello, I have just started using rats as previously I used shazam and so I am a = novice. I would be very grateful for any help in the following areas. 1) applying Johansen's maximum likelihood procedure for estimating = cointegration relationships. 2) unit root testing 3) using the vector error correction model in cointegration analysis 4) testing for the existence of 0 or more cointegrating vectors 5) determining the lag order of the model 6) applying ordinary least squares 7) applying restrictions to the ordinary least squares estimates. thank you, Stephen. ------=_NextPart_000_0009_01BEEE72.129B4280 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable
hello,
I have just started using rats as = previously I used=20 shazam and so I am a novice.
I would be very grateful for any help = in the=20 following areas.
1) applying Johansen's maximum = likelihood procedure=20 for estimating cointegration relationships.
2) unit root testing
3) using the vector error correction = model in=20 cointegration analysis
4) testing for the existence of 0 or = more=20 cointegrating vectors
5) determining the lag order of the=20 model
6) applying ordinary least = squares
7) applying restrictions to the = ordinary least=20 squares estimates.
 
thank you,
Stephen.
------=_NextPart_000_0009_01BEEE72.129B4280-- ---------- End of message ---------- From: Ferdaus Hossain To: "RATS Discussion List" Subject: Re: Estimation for masters thesis Date: Tue, 24 Aug 1999 16:26:22 -0400 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-version: 1.0 X-Mailer: Microsoft Outlook Express 5.00.2314.1300 (via Mercury MTS (Bindery) v1.40) Content-type: text/plain; charset="iso-8859-1" Content-transfer-encoding: 7bit For cointegration analysis, you really should have CATS which is an addon for RATS. CATS is specifically written for CI analysis. However, you may be able to get by RATS. Check their website for the procedures dealing with you your specific needs. Good Luck Ferdaus ---------- End of message ---------- From: "Estima" To: "RATS Discussion List" Subject: Re: Estimation for masters thesis Date: Tue, 24 Aug 1999 15:42:29 -0600 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: Organization: Estima MIME-Version: 1.0 Content-type: text/plain; charset=US-ASCII Content-transfer-encoding: 7BIT X-mailer: Pegasus Mail for Win32 (v3.11) (via Mercury MTS (Bindery) v1.40) > I would be very grateful for any help in the following areas. > 1) applying Johansen's maximum likelihood procedure for estimating = > cointegration relationships. As suggested, serious cointegration analysis is best done using the CATS add-on to RATS. > 2) unit root testing Simple DFUNIT and PPUNIT procedures are included with RATS and discussed (briefly) in the RATS manual. The RATS web page provides many other more advanced and/or specialized unit root tests. See URADF.SRC for a good general procedure. > 5) determining the lag order of the model > 6) applying ordinary least squares > 7) applying restrictions to the ordinary least squares estimates. This is all covered in the RATS users manual. The RATS Handbook for Econometric Time Series also covers most of this, and has proven quite helpful for many beginning users. You can order from us at Estima, or pretty much any other bookseller. Sincerely, Tom Maycock Estima -- ------------------------------------------------------------ | Estima | Sales: (800) 822-8038 | | P.O. Box 1818 | (847) 864-8772 | | Evanston, IL 60204-1818 | Support: (847) 864-1910 | | USA | Fax: (847) 864-6221 | | http://www.estima.com | estima@estima.com | ------------------------------------------------------------ ---------- End of message ---------- From: Woo Kai-Yin To: "RATS Discussion List" Subject: RE:request for program Date: Sat, 28 Aug 1999 11:33:20 +0800 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Mozilla 3.01C-IMS (Win95; I) (via Mercury MTS (Bindery) v1.40) MIME-Version: 1.0 Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Dear RATS users, I wish to perform estimation of cointegrating vectors using GMM by use of Prof.Quintos, Analysis of Cointegrating vectors using GMM appraoch, J. of Econometrics, vol.85, No.1, 1998. May I request for the RATS program to implement the estimation and statistical inference by use of her approach, please? I would be grateful if you could give me a hand. Many thanks. regards, KY Woo Senior Lecturer, Dept of Economics, Hong Kong Shue Yan College. Hong Kong. ---------- End of message ---------- From: Price SG To: "RATS Discussion List" Subject: stability in VECM Date: Tue, 31 Aug 1999 11:27:48 +0100 (BST) Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII X-Mailer: Mercury MTS (Bindery) v1.40 In single equation ECMs the stability condition on the loading is obviously pretty simple. But in VECM the condition for stability/convergence to the long-run equilibria are more complex. In particular, I imagine we might occasionally encounter models where the estimated loading(s) in an ECM equation in the VECM has the "wrong" ie positive sign (when the level corresponding to the lhs variable is normalised with a positive coefficient), but the system is still stable. Does anyone know any papers that discuss this? ---------- End of message ---------- From: "Jian Yang" To: "RATS Discussion List" Subject: Re: stability in VECM Date: Tue, 31 Aug 1999 08:59:52 -0500 Errors-to: Reply-to: "RATS Discussion List" Sender: Maiser@efs1.efs.mq.edu.au X-listname: X-Mailer: Novell GroupWise 5.5.2 (via Mercury MTS (Bindery) v1.40) Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: quoted-printable I can only give a piece of advice which is not really a helpful one. I = remeber that a paper by Granger collected in "Long-run economic relationshi= ps" gave the convergene condition in a bivaraite ECM context. I just tried = to find out where it exactly was, but did not succeed. But I know it is = there because I was bothered with a similar question before. Unfortunately,= I was lazy to put it in my paper. =20 Jian Yang >>> Price SG 08/31/99 05:27AM >>> In single equation ECMs the stability condition on the loading is obviously pretty simple. But in VECM the condition for stability/convergence to the long-run equilibria are more complex. In particular, I imagine we might occasionally encounter models where the estimated loading(s) in an ECM equation in the VECM has the "wrong" ie positive sign (when the level corresponding to the lhs variable is normalised with a positive coefficient), but the system is still stable.=20= Does anyone know any papers that discuss this? ---------- End of message ----------