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This lecture covers choice models with latent variables, focusing on modeling latent concepts using structural equations for utility and indicators, as well as measurement equations for continuous and discrete indicators. The estimation process involves likelihood integration and maximum likelihood estimation. The content is based on the work of Walker (2001).