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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?
Readings:
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
Readings:
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.
Readings:
Lecture 4: Breaking the Curse of Dimensionality in Theory and Practice
Readings:
Lecture 5: Modeling Markets and Competition between Market Intermediaries
Readings:
Lecture 6: Is the Life Cycle Model Dead?
Readings:
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