Non-Parametric Random coefficient models or Mixed Logits – Minicourse

This two-day course covers econometric models with heterogeneous parameters, often called random coefficients. In these models, the parameters of the model vary across the entities under study. For example, consumers may have different preferences for the attributes of a car. The econometric object of estimation is the distribution of the heterogeneous parameters or random coefficients. This course will center on an increasingly popular, computationally efficient method of estimating the distribution: the so-called fixed grid approach. More broadly, the course will cover the formulation of a structural model, the identification of distributions of heterogeneous parameters, various estimation procedures, large sample properties such as consistency and rate of convergence, and statistical inference. We will also survey empirical applications in the fields of industrial organization and development. We will emphasize the use of heterogeneous parameters in models of discrete choice dynamic programming.

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El curso inicia a las 9:30 ambos días y termina a 12:45