Georgetown Econ 553 - For M.A. in Applied Economics students (Fall 2013, 2012)

This course covers the basic linear regression model but also looks beyond it. Many economic data-sets do not satisfy the strong requirements for the linear regression model.Examples include labor force participation decisions, consumer choice between different brands of a product, and household income and consumption surveys stretching over several years (panel data). In this course more advanced statistical models are covered that are needed to analyze these types of data. Topics include discrete choice models (logit and probit), count data models, censored and truncated regression models, panel data models, and instrumental variables methods. The emphasis of the course is on understanding the need for the various methods, being able to apply them to data, and interpreting the results. Syllabus.

Georgetown Econ XCPD-922 (Fall 2012)

A two-day intensive course emphasizing the application of econometric methods and results to contemporary topics in empirical economic research. The purpose of this course is to provide participants with the econometric tools required to analyze panel (longitudinal) data. Syllabus.

Stanford Econ 250: Environmental and Resource Economics (Graduate)

Graduate level introduction to theoretical and applied topics in environmental and resource economics with an emphasis on the current research frontier. Topics include: oil shocks, rational commodity pricing, structural models, choice models and willingness to pay for environmental attributes, behavioral economics techniques in environmental research, field experiments, provision of environmental public goods, hedonic models, uncertainty and climate policy. Syllabus.

Stanford Econ 102B: Introduction to Econometrics (Undergraduate)

Introduction to the theory and practice of econometrics. Linear regression model: estimation, testing and inference. Extensions to dynamic models, simultaneous equations and panel data. Financial econometrics and nonlinear models. Prerequisites: 50, 102A or equivalent. Recommended: computer experience.

Stanford Econ 276: Limited Dependent Variables (Graduate)

Possible topics: nonlinear panel data models, quantile regression, logit, probit, tobit, censoring/truncation, duration models, index models, bootstrap, discrete choices, random coefficients simulation based estimation, Bayesian modeling, MCMC, factor analysis, Random Matrix Theory, estimation of social networks . Prerequisite: 273 or consent of instructor. Syllabus.

Stanford Econ 221: Political Economy II: Empirical Research Methods (Graduate)

Preparation for advanced research in applied political economy. Focus is on econometric methods (panel data, IV, treatment estimation, nonlinear models, random coefficients, duration models, factor analysis) with applications to economic and political development, economic voting, war and economic interdependence, corruption, legislative behavior, and social networks. Prerequisites: Part of a two-part sequence with 220.