Master Class Lectures
University College London
November, 2006

John Rust, University of Maryland

Some Useful Texts:

Some Related "Mini courses"

Lecture 1: Why Do Structural Econometrics?

What is the role and value of theory and empirical work in economics? What are the dangers when you try to live on the edge by doing both theory and empirical work in the same paper?

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Lecture 2: A Few Computer Skills I think are Worth Learning

The world is changing very quickly with the rise of the internet, e-commerce, and huge online databases. Doing empirical work in the future will be greatly assisted by knowing a few useful computational tools: a) relational databases, b) web-database interfaces (e.g. cgi-bin), c) programs for parsing/extracting data in text and other formats

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Lecture 3: Nested Fixed Point Algorithms vs Computationally Simpler Alternatives

To do structural econometrics, we have to solve the model as a nested subroutine of our econometric estimation method (maximum likelihood, simulated minimum distance, etc.). Or do we? A discussion of " computationally simpler" alternatives to the "brute force" full solution approach to structural econometrics.

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Lecture 4: Breaking the Curse of Dimensionality in Theory and Practice

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Lecture 5: Modeling Markets and Competition between Market Intermediaries

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Lecture 6: Is the Life Cycle Model Dead?

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