Unformatted text preview: omitted variable bias 3. The message: correlation is not causation II. T AKING “I DENTIFICATION ” S ERIOUSLY A. Controlled Experiments, Random Assignment, and Natural Experiments B. Friedman and Schwartz’s Key Episodes C. Digression: A Little Bit About “Instrumental Variables” D. Friedman and Schwartz’s Results E. Discussion and Assessment F. A Little Bit about Reading Regression Results 1. Coefficient estimates, standard errors, and t-statistics 2. Some examples 3. A caution...
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This note was uploaded on 02/28/2012 for the course ECON 134 taught by Professor Davidromer during the Spring '12 term at Berkeley.
- Spring '12
- Monetary Policy