Exam 10: Experiments: Dealing With Real-World Challenges

One way to check for balance between the treatment and control groups is to look for a statistically significant coefficient on the treatment dummy variable in a model in which variable X1 is the dependent variable.

When faced with issues of non-compliance, the coefficient on an intention-to-treat treatment variable will be

In order to check for balance we assess whether the dependent variable differs for the treatment and control groups.

When using the intention-to-treat method to deal with non-compliance:

Which of the following is a method for dealing with attrition in a randomized experiment?

A natural experiment occurs when:

The difference in means of the treated and control groups is not a good measure of the treatment effect when randomization fails to create balanced treatment and control groups.

Attrition generally will not lead to bias because OLS simply deletes these observations from the sample.

Suppose we run an experiment and measure several possible independent variables after treatment. Which of the following best characterizes why this is a problem?

A compliance problem can lead to endogeneity because non-compliance is generally not-random.

Which of the following is a reason on as to why non-compliance can be a problem?

Which of the following explains why a 2SLS model can be used to analyze randomized experiments with imperfect compliance?

Which of the following must be undertaken when the treatment and control groups differ with regard to some independent variable, X1.

Which of the following is not one of the problems that leads to endogeneity in randomized experiments.