Version: Spring 2017
EC200 Econometrics and Applications
Problem Set 4\
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Stock and Watson 6.6
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Stock and Watson 7.4
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Stock and Watson 7.8 (skip part c)
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Stock and Watson, Additional Empirical Exercise 6.1
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Stock and Watson, Additional Empirical Exercise 5.3
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Suppose that average worker productivity at manufacturing firms ($avgprod$) depends on two factors: average hours of training ($avgtrain$) and average worker ability ($avgabil$)
$$avgprod = \beta_0 + \beta_1 avgtrain + \beta_2 avgabil + u$$
Assume this equation satisfies the Gauss-Markov assumptions. If grants have been given to firms whose workers have less than average ability, so that $avgtrain$ and $avgabil$ are negatively correlated, what is the likely bias on $\widetilde{\beta_1}$ obtained from the simple regression of $avgprod$ on $avgtrain$?
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Finish and submit Lab 4.