Earnings functions provide a measure, among other things, of the returns to education. It has been argued these regressions contain a serious omitted variable bias due to differences in abilities. Furthermore, ability is hard to measure and bound to be highly correlated with years of schooling. Hence the standard estimate of about a 10 percent return to every year of schooling is upward biased. Suggest some ways to address this problem. One famous study looked at earnings of identical twins. Explain how this can be viewed as a quasi-experiment, and mention some of the threats to internal and external validity that such a study might encounter.
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Q23: Quasi-experiments
A)provide a bridge between the econometric analysis
Q24: In the case of heterogeneous causal effects,
Q25: Testing for the random receipt of treatment
A)is
Q26: Failure to follow the treatment protocol means
Q27: Threats to internal validity of quasi-experiments include
A)failure
Q29: If the causal effect is different for
Q30: One of the major lessons learned in
Q31: Assume for the moment that the student-teacher
Q32: Canada and the United States had approximately
Q33: A causal effect for a single individual
A)can
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