Experimental Economics II

The aim of this course is to provide graduate students with a solid understanding of experimental methodology. It starts with a short survey of experiment design issues and common games. The main emphasis then turns towards examining various econometric tools that researchers use to analyze experimental data. These include non-parametric and parametric treatment testing, regressions, maximum likelihood approach, etc.

Adv Envrnmtl & Nat Res Econ

The second course in the graduate environmental and natural resource economics sequence. Covers advanced topics in the theory of environmental regulation, including dynamic regulation, regulation under asymmetric information, and second-best environmental regulation. Current empirical topics include the analyses of voluntary and information-based approaches to environmental management and emerging approaches to energy conservation.

Topics/Adv Econometrics

This course introduces advanced econometric theory and tools for estimating and testing models, evaluating policy changes quantitatively, and more generally studying the relation between economic variables. The goal is to learn enough theory and get enough practice to be able to conduct sensible economic analysis. The course covers most contemporary methods on nonlinear estimation, including the Maximum Likelihood Estimator, Nonlinear Least Squares, and General Method of Moments.

ProbabilityThry&Stat Inference

This course will focus on probability theory and statistical inference, the foundations of econometric analysis. Probability theory is the building block that will allow you to understand estimation and statistical inference. The first part focuses on univariate distributions and multivariate distributions, with care taken to differentiate discrete and continuous random variables. The second part covers estimation and inference.
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