Exam 15: Quantile Regression, Count Data, Sample Selection Bias, and Quasi-Experimental Methods
Exam 1: An Introduction to Econometrics and Statistical Inference16 Questions
Exam 2: Collection and Management of Data16 Questions
Exam 3: Summary Statistics29 Questions
Exam 4: Simple Linear Regression44 Questions
Exam 5: Hypothesis Testing in Linear Regression Analysis34 Questions
Exam 6: Multiple Linear Regression Analysis44 Questions
Exam 7: Qualitative Variables and Non-Linearities in Multiple Linear Regression Analysis40 Questions
Exam 8: Model Selection in Multiple Linear Regression Analysis31 Questions
Exam 9: Heteroskedasticity39 Questions
Exam 10: Time Series Analysis38 Questions
Exam 11: Auto-Correlation50 Questions
Exam 12: Limited Dependent Variables40 Questions
Exam 13: Panel Data31 Questions
Exam 14: Instrumental Variables for Simultaneous Equations, Endogenous Independent Variables, and Measurement Error26 Questions
Exam 15: Quantile Regression, Count Data, Sample Selection Bias, and Quasi-Experimental Methods29 Questions
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What is non-negative count data? Why does it present a concern for OLS? How might you control for non-negative count data in the estimation process? Explain.
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Suppose you observe that several different communities in a large metropolitan area raised their sales tax by one percentage point in 2012 while several others did not.In an effort to determine how the increase affected car sales in the affected communities you estimate a difference-in-difference estimator for 2011 and 2013 car sales and get = 987.25+ 17.08201+ 1.47- 8.32(2013* Treatment (311.24) (5.33) (0.56) (2.46)
a)Why would you want to estimate a difference in difference model?
b)Draw a graph with the 4 means on it and explain where the difference in difference estimator is on the graph.
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Non-negative count data presents a challenge because OLS estimates
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Non-negative count data occur when the dependent variable takes on
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You can choose between the Poisson and the Negative Binomial models by performing a
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In which of the following cases would you want to use difference-in-difference estimation?
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The second-stage in the Heckman selection correction is including the _____ in the second-stage regression to control for the potential sample-selection bias.
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