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This course aims at presenting the main econometric methods, and their associated Stata commands, that can be used for the analysis of observational data which include surveys, firm data, or administrative data and can take the form of cross-section or panel data. This course relies on hands-on learning and offers a wide range of tools, which can be used in many research settings and topics, emphasizing applications and implementation procedures addressing real-world questions, econometric methods used in current empirical research.
Economic Models/Relationships/Expressions. Statistical Model. The Meaning Of Linearity. Data Types/Issues. Two-Variable Regression. Statistical Inference: Estimation. Inference: Hypothesis Testing. Confidence Intervals. The coefficient of Determination. Two-Variable Regression Model. Ordinary Least Squares. The Multiple Regression Model. Dummy Variables. Examples of Model Variations. Multicollinearity. Heteroscedasticity. Autocorrelation. Model Specification Issues. Model Selection. Limited Dependent Variables. Panel Data. Instrumental Variables.
Upon succesful completion of this course, a student will be able to
1. Identify different types of economic data sets and the analytic tools that are appropriate for each
2. Explain the basic econometric toolset for multivariate analysis
3. Be able to apply the proper tools to a given research question and data set
4. Explain how to interpret the results of econometric estimations
5. Be in a better position to critically evaluate your own work and the literature in management that uses regression analysis
6. Write an applied econometrics project and present the results to the class
7. Gain a working knowledge of STATA