Covariance, identification, and finite-sample performance of the MSL and Bayes estimators of a logit model with latent attributes

Transportation

Volumn 40, Issue 3, 2013, Pages 647-670

  Daziano, Ricardo A ^a   Bolduc, Denis ^b  

^a Cornell University   (United States)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

Bayesian econometrics; Discrete choice; Latent attributes

Indexed keywords

BAYESIAN NETWORKS; ECONOMICS; LOGISTIC REGRESSION; MAXIMUM LIKELIHOOD ESTIMATION; PHILOSOPHICAL ASPECTS; SAMPLING; STATISTICS; STOCHASTIC SYSTEMS;

BAYESIAN ECONOMETRICS; COVARIANCE STRUCTURES; DISCRETE CHOICE; ENDOGENOUS LATENT ATTRIBUTES; FINITE SAMPLE PERFORMANCE; LATENT ATTRIBUTES; MONTE CARLO EXPERIMENTS; STATISTICAL SIGNIFICANCE;

MONTE CARLO METHODS;

BAYESIAN ANALYSIS; DISCRETE CHOICE ANALYSIS; ECONOMETRICS; MAXIMUM LIKELIHOOD ANALYSIS; MONTE CARLO ANALYSIS; PERFORMANCE ASSESSMENT; TRANSPORTATION MODE; TRAVEL BEHAVIOR;

EID: 84876078535     PISSN: 00494488     EISSN: 15729435     Source Type: Journal    
DOI: 10.1007/s11116-012-9434-5     Document Type: Article

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