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From |
Ana <analunhb@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Symmetry Test |

Date |
Wed, 11 May 2011 14:22:52 -0300 |

Dear Alex, Thank you very much for your prompt response and for your help. I'm still with a silly question about the symmetry test. Based on your routine below, how could I distinguish the parameters fo interst for the symmetry test (g12 g21 g31 g13...) from the other parameters of the model? Still, sometimes (for other exercises I'm planning to do), I'd like to keep only some parameters from the model and make some test. How can I "view "and "use" the some parameters from the model? In the case of ther symmetry test (if I only use the unrestricted model), I tried to use something like [eq_1]g12 = [eq_2]g2, but stata (actually, me!) always complain with something about: "equation [1] not found". Here is the estimates/results I can get from using nlsur quaids based on my data: FGNLS regression Equation Obs Parms RMSE R-sq Constant 1 w1 26784 . .4765981 0.7898* (none) 2 w2 26784 . .5114466 0.3840* (none) 3 w3 26784 . .4442428 0.3384* (none) * Uncentered R-sq Coef. Std. Err. z P>z [95% Conf. Interval] /a1 1.461867 .0214499 68.15 0.000 1.419826 1.503908 /a2 .316065 .0206387 15.31 0.000 .2756139 .3565162 /a3 .292436 .0186566 15.67 0.000 .2558698 .3290022 /b1 -.6577555 .0084112 -78.20 0.000 -.6742412 -.6412698 /b2 -.0759965 .007929 -9.58 0.000 -.091537 -.060456 /b3 -.1354168 .0072402 -18.70 0.000 -.1496074 -.1212263 /g11 -1.520055 .045084 -33.72 0.000 -1.608418 -1.431692 /g12 -.0109163 .0207699 -0.53 0.599 -.0516245 .029792 /g13 -.399293 .0196141 -20.36 0.000 -.4377359 -.3608502 /g22 -.0250661 .0151875 -1.65 0.099 -.054833 .0047007 /g23 -.0521908 .01053 -4.96 0.000 -.0728293 -.0315523 /g33 -.0643672 .0144734 -4.45 0.000 -.0927346 -.0359998 /l1 .0855152 .0007695 111.13 0.000 .084007 .0870233 /l2 .0143847 .0007215 19.94 0.000 .0129705 .0157989 /l3 .021068 .0006599 31.93 0.000 .0197747 .0223613 . end of do-file Thanks a lot in advance.Again. Best regards, Ana. 2011/5/10 Alex Olssen <alex.olssen@gmail.com>: > Dear Ana, > > I presume you removed the symmetry restriction by adjusting the > variables `gij' = `gji' in the nlsurquaids.ado file. > > To test the symmetry restrictions you could, > > 1) rename the program without symmetry as nlsurquaids2.ado > > 2) run the program without symmetry and obtain the log likelihood > > scalar llnosymmetry = e(ll) > > 3) run the program with symmetry (the original nlsurquaids) and obtain > the log likelihood > > scalar llsymmetry = e(ll) > > 4) implement the likelihood ratio test > > the statistic is given by 2*(llnosymmetry - llsymmetry) > which follows a chi-squared distribution with the number of > restrictions as the degrees of freedom. > > Kind regards, > > Alex Olssen > > On 11 May 2011 11:37, Ana <analunhb@gmail.com> wrote: >> Dear Statalisters, >> >> I'm using Brian Pois nlsurquaids.ado to estimate a Four Demand Equations. >> I've excluded the symmetry restriction from this program in order to >> test this restriction. >> >> My model has the form: >> nlsur quaids @ w1 w2 w3 lnp1-lnp4 lnm, ifgnls nequations(3) param(a1 >> a2 a3 b1 b2 b3 g11 g12 g13 g21 g22 g23 g31 g32 g33 l1 l2 l3) nolog >> >> >> Does anybody know how to test the symmetry restriction? >> I want to test if: g12=g21 g13=g31 g23=g32! >> >> Thanks a lot in advance. >> Best regards, >> Ana. >> * >> * For searches and help try: >> * http://www.stata.com/help.cgi?search >> * http://www.stata.com/support/statalist/faq >> * http://www.ats.ucla.edu/stat/stata/ >> > > * > * For searches and help try: > * http://www.stata.com/help.cgi?search > * http://www.stata.com/support/statalist/faq > * http://www.ats.ucla.edu/stat/stata/ > * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**Follow-Ups**:**Re: st: Symmetry Test***From:*Alex Olssen <alex.olssen@gmail.com>

**References**:**st: Symmetry Test***From:*Ana <analunhb@gmail.com>

**Re: st: Symmetry Test***From:*Alex Olssen <alex.olssen@gmail.com>

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