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Discrete Choice Modeling

William Greene Stern School of Business New York University. Discrete Choice Modeling. Lab Sessions. Lab Session 5. Modeling Heterogeneity with Random Parameters and Latent Classes. Random Parameters Model. ? Random parameters specification ?

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Discrete Choice Modeling

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  1. William Greene Stern School of Business New York University Discrete Choice Modeling Lab Sessions

  2. Lab Session 5 Modeling Heterogeneity with Random Parameters and Latent Classes

  3. Random Parameters Model ? Random parameters specification ? Logit ; Lhs = IP ; Rhs = One,IMUM,FDIUM,SP,LogSales ; Pds = 5 ; RPM ; Halton ; Pts = 25 ; Cor ; Fcn = One(n),IMUM(n),FDIUM(n) ; Marginal ; Parameters $ Sample ; 1 - 1270 $ Create ; bimum = 0 $ Matrix ; bi = beta_i(1:1270,2:2) $ Create ; bimum = bi $ Kernel ; Rhs = bimum $

  4. Random Parameters with Industry Heterogeneity ? Random parameters with industry heterogeneity ? Examine effect of industry heterogeneity. Sample ; All $ Logit ; Lhs = IP ; Rhs = One,IMUM,FDIUM,SP,LogSales ; Pds = 5 ; RPM = InvGood,RawMtl ; Halton ; Pts = 15 ; Cor ; Fcn = One(n),IMUM(n),FDIUM(n) ; Marginal ; Parameters $ Create; Bimum = beta_i(firm,2) $ Regress ; Lhs = Bimum ; Rhs = one,InvGood,RawMtl $

  5. Latent Class Models ? Latent class models Sample ; All $ Logit ; Lhs = IP ; Rhs = X ; LCM ; Pds=5 ; Pts = 3 $ Logit ; Lhs = IP ; Rhs = X ; LCM=Invgood,Rawmtl ; Pds=5 ; Pts = 3 $ Logit ; Lhs = IP ; Rhs = X ; LCM ; Pds=5 ; Pts = 4 $ Logit ; Lhs = IP ; Rhs = X ; LCM ; Pds=5 ; Pts = 5 $

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