14.385 | Fall 2007 | Graduate
Nonlinear Econometric Analysis
Course Description
This course presents micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments (GMM), estimation of censored and truncated specifications, quantile regression, structural estimation, nonparametric and semiparametric estimation, treatment effects, panel …
This course presents micro-econometric models, including large sample theory for estimation and hypothesis testing, generalized method of moments (GMM), estimation of censored and truncated specifications, quantile regression, structural estimation, nonparametric and semiparametric estimation, treatment effects, panel data, bootstrapping, simulation methods, and Bayesian methods. The methods are illustrated with economic applications.
Learning Resource Types
grading Exams
notes Lecture Notes
assignment Problem Sets
Japanese rice symbol by Nyoiti Sakurasawa.
Japanese rice symbol. Rice prices may be analyzed by nonparametric estimation. Learn more about nonparametric estimation, generalized method of moments, quantile regression, and other methods in the lecture notes. (Image by MIT OpenCourseWare, based on an image by Nyoiti Sakurasawa.)