Course Outline

  ?  Introduction, Economic Questions and Data (1 week)

  ?  Review of Probability (SW 2, 2 weeks)

  ?  Review of Statistics (SW 3, 2 weeks)

  ?  Bivariate Regression I (SW 4, 2 weeks).

  -  Probability framework.

  ?  Bivariate Regression II (SW 5, 2 weeks).

  -  Homoskedasticity

  -  Estimation and Hypothesis testing.

  ?  Multiple Regression I (SW 6, 2 week).

  -  Omitted variable bias.

  -  Multiple regression model.

  ?  Multiple Regression II ( SW 7, 1 week).

  ?  Nonlinear Regression Models (SW 8, 1 week).

  -  Modeling nonlinear regression functions.

  -  Interactions between independent variables.

  ?  Assessing Regression Studies (SW 9, 1 week).

  -  Internal and external validity.

  -  Threats to internal validity.

  ?  Panel Data (SW 10, 1 week).

  -  Panel data with two periods.

  -  Fixed effects regression.

  -  Random effects regression.

  ?  Instrumental Variables Regression (SW 12, 2 weeks).

  -  General IV regression model.

  -  Checking instrument validity.

  -  Where do IV come from?

  ?  Experiments and Quasi-Experiments (SW 13, 2 weeks).

  -  Difference-in-difference estimator.

  -  Quasi-experiments.

  -  Average treatment effect.

Students are evaluated based on their class attendance, problem sets, and one final exam according to the following distribution.

Problem Sets 20%

Midterm 40%

Final 40%.

Stock, H. H. and M. W. Watson, Introduction to Econometrics, 3rd Edition. Pearson/Addison Wesley 2010. (SW)

Also, an interesting book related to econometrics

  ?  Levitt, S. D. and S. J. Dubner (2005). Freakonomics: A Rougue Economist Explores the Hidden Side of Everything