The following estimation methods should not be used to test for randomization when Xi, is binary:
A) linear probability model (OLS) with homoskedasticity-only standard errors.
B) probit.
C) logit.
D) linear probability model (OLS) with heteroskedasticity-robust standard errors.
Correct Answer:
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Q1: For quasi-experiments,
A)there is a particularly important potential
Q2: The following is not a threat to
Q3: Assume that data are available on other
Q4: Program evaluation
A)is conducted for most departments in
Q6: Your textbooks gives several examples of quasi
Q7: Causal effects that depend on the value
Q8: To test for randomization when Xi is
Q9: Experimental data are often
A)observational data.
B)binary data, in
Q10: The Hawthorne effect refers to
A)subjects dropping out
Q11: A repeated cross-sectional data set
A)is also referred
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