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help: lmalb                                                        dialog: lmal
> b
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+-------+ ----+ Title +------------------------------------------------------------

lmalb: Ljung-Box Autocorrelation LM Test at Higher Order AR(p)

+--------+ ----+ Syntax +-----------------------------------------------------------

lmalb depvar indepvars [if] [in] [weight] , [ lags(numlist) noconstant vce(vcetype) ]

+---------+ ----+ Options +----------------------------------------------------------

lags(#) determine Order of Lag Length; default is lag(1).

noconstant suppress constant term

SE/Robust vce(vcetype) vcetype may be ols, robust, cluster clustvar, bootstrap, jackknife, hc2, or hc3

+-------------+ ----+ Description +------------------------------------------------------

lmalb computes Ljung-Box Autocorrelation LM Test after regress command. lmalb detects autocorrelation at Higher Order AR(p), more than AR(1).

J Ljung-Box LM test = N(N+2) [ Sum(Rho_i^2/(N-k)) ] ~ Chi2(J) i=1 where N = Number of Observations. k = Number of Parameters. J = Order of Lag Length. Rho_i = Autoregressive Coefficient of Lag i.

+---------------+ ----+ Saved Results +----------------------------------------------------

lmadurh saves the following in r():

Scalars r(rho_#) Rho Value at Order AR(i) r(bpl_#) Ljung-Box Autocorrelation LM Test at Order AR(i) r(bplp_#) Ljung-Box Autocorrelation LM Test P-Value at Order AR(i)

+----------+ ----+ Examples +---------------------------------------------------------

clear all

db lmalb

sysuse lmalb.dta , clear

lmalb y x1 x2 , lags(1)

lmalb y x1 x2 , lags(4)

return list

============================================= * Ljung-Box Autocorrelation LM Test * ============================================= Ho: No Autocorrelation - Ha: Autocorrelation ----------------------------------------------------------------- * Rho Value for AR(1) = -0.1455 * Ljung-Box LM Test AR(1) = 0.4272 P>Chi2(1) 0.5133 ----------------------------------------------------------------- * Rho Value for AR(2) = -0.2231 * Ljung-Box LM Test AR(2) = 1.4994 P>Chi2(2) 0.4725 ----------------------------------------------------------------- * Rho Value for AR(3) = 0.1871 * Ljung-Box LM Test AR(3) = 2.3074 P>Chi2(3) 0.5111 ----------------------------------------------------------------- * Rho Value for AR(4) = -0.3002 * Ljung-Box LM Test AR(4) = 4.5463 P>Chi2(4) 0.3371 -----------------------------------------------------------------

+------------+ ----+ References +-------------------------------------------------------

Damodar Gujarati (1995) "Basic Econometrics" 3rd Edition, McGraw Hill, New York, USA; 717.

Ljung, G. & George Box (1979) "On a Measure of Lack of Fit in Time Series Models", Biometrika, Vol. 66; 265–270.

+--------+ ----+ Author +-----------------------------------------------------------

Emad Abd Elmessih Shehata Assistant Professor Agricultural Research Center - Agricultural Economics Research Institute - Eg > ypt Email: emadstat@hotmail.com WebPage: http://emadstat.110mb.com/stata.htm WebPage at IDEAS: http://ideas.repec.org/f/psh494.html WebPage at EconPapers: http://econpapers.repec.org/RAS/psh494.htm

+----------------+ ----+ lmalb Citation +---------------------------------------------------

Shehata, Emad Abd Elmessih (2011) "lmalb: Stata Module to Compute Ljung-Box Autocorrelation LM Test at Higher Order AR(p) after OLS Regression"

Also see

Online: lmareg3, lmadurh, lmalb, lmabp, lmadw, lmavon (if installed).