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页数:28页
时间:2019-03-10
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1、MultinomialandOrderedResponseModelsPhDEconometricsWeitanHanqingAdvancedInstituteofEconomicsandFinanceRenminUniversityofChinaWeiTan(RUC)MultinomialandOrderedResponseModels1/28MultinomialLogitLetydenotearandomvariabletakingonthevaluesf0;1;;JgforJapositiveinteger,an
2、dxa1Kvectorwith…rst-elementunity.Themultinomiallogit(MNL)modelhasresponseprobabilities:"#XJP(y=jjx)=exp(xj)=1+exp(xh);j=1;;J(1)h=1wherejisK1,j=1;;J.Becausetheresponseprobabilitymustsumtounity,"#XJP(y=0jx)=1=1+exp(xh)h=1WhenJ=1,1istheK1vectorofunknownparamet
3、ers,andwegetthebinarylogitmodel.WeiTan(RUC)MultinomialandOrderedResponseModels2/28MultinomialLogitThepartiale¤ectsforMNLmodelarecomplicated.Forcontinuousxk,wecanwrite("#)XJ@P(y=jjx)=P(y=jjx)jk hkexp(xh)=g(g;)@xkh=1(2)PJhkisthekthelementofhandg(x;)=1+h=1exp(xh).Equat
4、ion(2)showsthateventhedirectionofthee¤ectisnotdeterminedentirelybyjk.Asimplerinterpretationofjisgivenbypj(x;)=p0(x;)=exp(xj);j=1;2;;J(3)wherepj(x;)denotestheresponseprobabilityinequation(1).Thus,thechangeinpj(x;)=p0(x;)isapproximatelyjkexp(xj)xkforroughlycontinu
5、ousxk.Equivalently,thelog-oddsratioislinearinx:log[pj(x;)=p0(x;)]=xj.Thisresultextendstogeneraljandh:log[pj(x;)=ph(x;)]=x(j h).WeiTan(RUC)MultinomialandOrderedResponseModels3/28MultinomialLogitThereisanotherusefulfactaboutthemultinomiallogitmodel.SinceP(y=jory=hjx)=
6、pj(x;)+ph(x;),pj(x;)P(y=jjy=jory=h;x)==x(j h)pj(x;)+ph(x;)where()isthelogisticfunction.Inotherwords,conditionalonthechoicebeingeitherjorh,theprobabilitythattheoutcomeisjfollowsastandardlogitmodelwithparametervectorj h.EstimationoftheMNLmodelisbestcariedoutbymax
7、imumlikelihood.ForeachitheconditionalloglikelihoodisXJli()=1[yi=j]log[pj(xi;)]j=0wheretheindicatorfunctionselectsouttheappropriateresponseprobabilityforeachobservationi.Asusual,weestimatebyPNmaximizingi=1li().WeiTan(RUC)MultinomialandOrderedResponseModels4/28Multino
8、mialLogit:ExampleExample(SchoolandEmploymentDecisionsforYoungMen):ThedataKEANE.DTA(asubsetfromKeaneandWolpin,1997)containsemploymentandsch
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