Exam 2: Stats in the Wild: Good Data Practices
Exam 1: The Quest for Causality20 Questions
Exam 2: Stats in the Wild: Good Data Practices10 Questions
Exam 3: Bivariate Ols: the Foundation of Econometric Analysis19 Questions
Exam 4: Hypothesis Testing and Interval Estimation: Answering Research20 Questions
Exam 5: Multivariate Ols: Where the Action Is22 Questions
Exam 6: Dummy Variables: Smarter Than You Think20 Questions
Exam 7: Specifying Models19 Questions
Exam 8: Using Fixed Effects Models to Fight Endogeneity in Panel Data a20 Questions
Exam 9: Instrumental Variables: Using Exogenous Variation to Fight Endogen26 Questions
Exam 10: Experiments: Dealing With Real-World Challenges14 Questions
Exam 11: Regression Discontinuity: Looking for Jumps in Data20 Questions
Exam 12: Dummy Dependent Variables21 Questions
Exam 13: Time Series: Dealing With Stickiness Over Time21 Questions
Exam 14: Advanced Ols20 Questions
Exam 15: Advanced Panel Data17 Questions
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Statistical projects should document both the data and the methods used to arrive at the conclusion.
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The standard deviation measures how widely dispersed the values of the observations are.
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The statistical package R is easier to use than Stata.
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Replication files are used by researches to verify another researcher's projects results.
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Please list the descriptive statistics that are used to better understand the data.
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Explain the importance of keeping replication files and properly documenting the data/research.
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Describe/list some of the information that generally goes into a codebook.
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