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1. Differences-in-Means = Average Causal Effect + Selection Bias O a. True O b. False 2 Pooling (i.e. combining) two cross sectional datasets leads to

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1. Differences-in-Means = Average Causal Effect + Selection Bias O a. True O b. False 2 Pooling (i.e. combining) two cross sectional datasets leads to an increase in sample size. O a. False O b. True In some situations, the problem of endogeneity can be solved by using robust standard errors. O True O False

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