Economics 312

Theory and Practice of Econometrics
Spring 2018
Assignments

There are two kinds of assignments for this class: daily assignments that are done individually and submitted at the beginning of each class session and weekly projects (usually) done in teams of two students and submitted (electronically) by midnight Wednesdays. Both daily assignments and weekly projects will be posted approximately one week before they are due.

Daily assignments

  1. January 24: Proof of mean-sum formula
  2. January 29: Maximum-likelihood estimators
  3. January 31: Monte-Carlo simulations
  4. February 5: OLS in matrix notation
  5. February 7: Simple tests and confidence intervals
  6. February 12: Functional forms
  7. February 14: Multiple regression tests
  8. February 19: F tests
  9. February 21: Interactions
  10. February 26: Dummies for shape of function
  11. February 28: Stata diagnostics for functional form
  12. March 5: Heteroskedasticity
  13. March 7: Method of moments and IV estimators
  14. March 19: Identification
  15. March 21: IV examples (Waldman WSJ article)
  16. March 26: Lag operators & polynomial roots
  17. March 28: AR(1) covariance
  18. April 2: Lag models
  19. April 4: Dickey-Fuller tests
  20. April 9: Vector autoregression
  21. April 11: Pooled data
  22. April 16: Random effects
  23. April 18: Likelihood functions in LDV models
  24. April 23: Ordered probit example (last one)

Weekly econometric projects

  1. January 31: Intro to data in Stata
  2. February 7: Monte Carlo experiments  (Dataset: MC-Data.dta)
  3. February 14: Beauty and teaching evaluations  (Dataset: Evals.dta)
  4. February 21: Determinants of neighborhood home values  (Dataset: hprice.dta)
  5. February 28: Do teacher benefits substitute for salary?  (Dataset: Teachers93.dta)
  6. March 29: Endogeneity in labor supply regressions  (Dataset: mroz.dta)
  7. April 4: Effects of minimum wage and other variables on industry wage rates  (Dataset: minwage_proj.dta)
  8. April 16: Time series behavior of US and Euro Zone GDP  (Dataset: gfc.dta)

Project Guidelines
Sample Project Report