Quasi-experiments
A) provide a bridge between the econometric analysis of observational data sets and the statistical ideal of a true randomized controlled experiment.
B) are not the same as experiments, and lessons learned from the use of the latter can therefore not be applied to them.
C) most often use difference-in-difference estimators, which are quite different from OLS and instrumental variables methods studied in earlier chapters of the book.
D) use the same methods as studied in earlier chapters of the book, and hence the interpretation of these methods is the same.
Correct Answer:
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Q18: All of the following are reasons for
Q19: The following are reasons for studying randomized
Q20: Heterogeneous population
A)implies that heteroskedasticity-robust standard errors must
Q21: In a sharp regression discontinuity design,
A)crossing the
Q22: Small sample sizes in an experiment
A)biases the
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
Q28: Earnings functions provide a measure, among other
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