*! version 2.0.0 09jul2009 *! author: Partha Deb * version 1.1.0 25feb2009 * version 1.0.0 04feb2009 ************************************************ *** mata function for joint mmlogit & normal *** ************************************************ clear all version 10.1 local mydir "." capture mata drop mtreatreg_normal_lf mata: void mtreatreg_normal_lf( string scalar lnL, string scalar G, string scalar H , string scalar xbTnames, string scalar xbOname , string scalar sigmaname, string scalar lamnames , string scalar neq, string scalar neqall, string scalar nobs, string scalar sim , real matrix yT, real matrix yO, real matrix rmat) { // begin function K = st_numscalar(neq) Ka = st_numscalar(neqall) N = st_numscalar(nobs) S = st_numscalar(sim) st_view(xbT, ., tokens(xbTnames)) st_view(xbO, ., xbOname) st_view(vlnL, ., lnL) st_view(vg, ., tokens(G)) st_view(vH, ., tokens(H)) st_view(sigma, ., sigmaname) st_view(lam, ., tokens(lamnames)) exb = J(N,S*K,.) pmml = J(N,S*K,.) den = J(N,S,1) for (j=1; j<=K; j++) { exb[,((j-1)*S+1)..(j*S)] = exp(xbT[,j]:+rmat[,((j-1)*S+1)..(j*S)]) den = den + exb[,((j-1)*S+1)..(j*S)] } mml = (1:-rowsum(yT)):/den for (j=1; j<=K; j++) { pmml[,((j-1)*S+1)..(j*S)] = exb[,((j-1)*S+1)..(j*S)]:/den mml = mml :+ yT[,j]:*pmml[,((j-1)*S+1)..(j*S)] } xbOmat = J(N,S,0) for (j=1; j<=S; j++) { xbOmat[,j] = xbO[,] } for (j=1; j<=K; j++) { xbOmat = xbOmat + lam[,j]:*rmat[,((j-1)*S+1)..(j*S)] } zO = (yO :- xbOmat):/sigma normal = normalden(yO,xbOmat,sigma) mmlnormal = mml :* normal L = (rowsum(mmlnormal))/S L=rowmax((L , J(N,1,smallestdouble()))) vlnL[,] = ln(L) gmml = J(N,S*K,.) for (j=1; j<=K; j++) { gmml[,((j-1)*S+1)..(j*S)] = yT[,j] :- pmml[,((j-1)*S+1)..(j*S)] vg[,j] = (1:/L):*rowsum(mmlnormal:*gmml[,((j-1)*S+1)..(j*S)])/S } gnormalb = zO:/sigma gnormals = zO:*zO :- 1 vg[,K+1] = (1:/L):*rowsum(mmlnormal:*gnormalb)/S vg[,K+2] = (1:/L):*rowsum(mmlnormal:*gnormals)/S for (k=K+3; k<=Ka; k++) { vg[,k] = (1:/L):*rowsum(mmlnormal:*gnormalb:*rmat[,((k-K-3)*S+1)..((k-K-2)*S)])/S } for (k=1; k<=K; k++) { for (j=k; j<=K; j++) { hmml = -pmml[,((j-1)*S+1)..(j*S)] /// :*((j==k):-pmml[,((k-1)*S+1)..(k*S)]) h = (-vg[,j]:*vg[,k] + (1:/L):*rowsum(mmlnormal /// :*gmml[,((j-1)*S+1)..(j*S)]:*gmml[,((k-1)*S+1)..(k*S)])/S /// :+ (1:/L):*rowsum(mmlnormal:*hmml)/S) ss = Ka*(k-1) - (k-2)*(k-1)/2 + (j-k) + 1 vH[,ss] = h } } hnormalbb = -1:/(sigma:*sigma) hnormalbs = -2:*zO:/sigma hnormalss = -2:*zO:*zO h = (-vg[,K+1]:*vg[,K+1] + (1:/L):*rowsum(mmlnormal:*gnormalb:*gnormalb)/S /// + (1:/L):*rowsum(mmlnormal:*hnormalbb)/S) ss = Ka*((K+1)-1) - ((K+1)-2)*((K+1)-1)/2 + 1 vH[,ss] = h for (k=1; k<=K; k++) { h = (-vg[,K+1]:*vg[,k] + (1:/L):*rowsum(mmlnormal /// :*gnormalb:*gmml[,((k-1)*S+1)..(k*S)])/S) ss = Ka*(k-1) - (k-2)*(k-1)/2 + ((K+1)-k) + 1 vH[,ss] = h } h = (-vg[,K+2]:*vg[,K+1] + (1:/L):*rowsum(mmlnormal:*gnormals:*gnormalb)/S /// + (1:/L):*rowsum(mmlnormal:*hnormalbs)/S) ss = Ka*((K+1)-1) - ((K+1)-2)*((K+1)-1)/2 + 1 + 1 vH[,ss] = h for (k=1; k<=K; k++) { h = (-vg[,K+2]:*vg[,k] + (1:/L):*rowsum(mmlnormal /// :*gnormals:*gmml[,((k-1)*S+1)..(k*S)])/S) ss = Ka*(k-1) - (k-2)*(k-1)/2 + (K+2-k) + 1 vH[,ss] = h } for (j=K+3; j<=Ka; j++) { h = -vg[,j]:*vg[,K+1] /// + (1:/L):*rowsum(mmlnormal:*gnormalb:*gnormalb:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)])/S /// + (1:/L):*rowsum(mmlnormal:*hnormalbb:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)])/S ss = Ka*((K+1)-1) - ((K+1)-2)*((K+1)-1)/2 + (j-K-1) + 1 vH[,ss] = h for (k=1; k<=K; k++) { h = -vg[,j]:*vg[,k] /// + (1:/L):*rowsum(mmlnormal:*gmml[,((k-1)*S+1)..(k*S)] /// :*gnormalb:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)])/S ss = Ka*(k-1) - (k-2)*(k-1)/2 + (j-k) + 1 vH[,ss] = h } } h = -vg[,K+2]:*vg[,K+2] + (1:/L):*rowsum(mmlnormal:*gnormals:*gnormals)/S /// + (1:/L):*rowsum(mmlnormal:*hnormalss)/S ss = Ka*((K+2)-1) - ((K+2)-2)*((K+2)-1)/2 + 1 vH[,ss] = h for (j=K+3; j<=Ka; j++) { h = -vg[,j]:*vg[,K+2] /// + (1:/L):*rowsum(mmlnormal:*gnormalb:*gnormals:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)])/S /// + (1:/L):*rowsum(mmlnormal:*hnormalbs:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)])/S ss = Ka*((K+2)-1) - ((K+2)-2)*((K+2)-1)/2 + (j-K-2) + 1 vH[,ss] = h } for (k=K+3; k<=Ka; k++) { for (j=k; j<=Ka; j++) { h = -vg[,j]:*vg[,k] /// + (1:/L):*rowsum(mmlnormal:*gnormalb:*gnormalb:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)] /// :*rmat[,((k-K-3)*S+1)..((k-K-2)*S)])/S /// :+ (1:/L):*rowsum(mmlnormal:*hnormalbb:*rmat[,((j-K-3)*S+1)..((j-K-2)*S)] /// :*rmat[,((k-K-3)*S+1)..((k-K-2)*S)])/S ss = Ka*(k-1) - (k-2)*(k-1)/2 + (j-k) + 1 vH[,ss] = h } } } // end function mata mosave mtreatreg_normal_lf(), dir(`mydir') replace end