Introduction. Choice behavior and discrete choice models (BenAkiva)







Specification and estimation of choice models (BenAkiva)







Specification testing (BenAkiva)







Computer Lab I: Introduction; Logit estimation and testing







Nested Logit Models (BenAkiva)







Multivariate Extreme Value Models  Aggregate Forecasting and Microsimulation (BenAkiva)







Stated preferences methods (McFadden)







Computer Lab II: Nested logit; Aggregate forecasting







Mixture Models (Bierlaire)







Simulationbased estimation (Bierlaire)







Combining RP and SP (BenAkiva)







Computer Lab III: Logit mixtures; Combining data







Sampling and estimation; Endogeneity (BenAkiva)







Discrete Panel data (Bierlaire)







Bayesian estimation (McFadden)







Computer Lab IV: Hierarchical Bayesian Estimation; Individual Prediction







Behavioral Foundations (McFadden)







Models with latent variables (BenAkiva)







Questions and answers







Computer Lab V: Hybrid Choice Models [OPTIONAL]






