Multiple Choice
Causal effects that depend on the value of an observable variable, say Wi,
A) cannot be estimated.
B) can be estimate by interacting the treatment variable with Wi.
C) result in the OLS estimator being inefficient.
D) requires use of homoskedasticity-only standard errors.
Correct Answer:
Verified
Correct Answer:
Verified
Q2: The following is not a threat to
Q3: Assume that data are available on other
Q4: Program evaluation<br>A)is conducted for most departments in
Q5: The following estimation methods should not be
Q6: Your textbooks gives several examples of quasi
Q8: To test for randomization when X<sub>i</sub> is
Q9: Experimental data are often<br>A)observational data.<br>B)binary data, in
Q10: The Hawthorne effect refers to<br>A)subjects dropping out
Q11: A repeated cross-sectional data set<br>A)is also referred
Q12: Experimental effects, such as the Hawthorne effect,<br>A)generally