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UW Department of Economics > Xiaoxia shi >Teaching>econ715

 

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UW-Madison
Department of Economics

 

Econ 715- Econometrics Methods

Syllabus

Lecture 1|| 2 || 3 || 3.2 || 4 || 4.2 || 5 || 6 || 7 || 8 || 9 || 10 || 11 || 12 || 13 || 14 || 15 ||...

Problem Set , Final Project

Lecture 1: Introductory Lecture 9/2

Readings: This lecture will be a review lecture of linear models learnt in the first year sequence courses. The best reading possible is your notes from the first year, or Chapters 1-6 of Professor Bruce Hansen's Econometrics manuscript, which can be found here: http://www.ssc.wisc.edu/~bhansen/econometrics/

 

Lecture 2: Asymptotic Theory 9/7

Readings: (Jennrich is relatively easy to read)

Jennrich, R. I., 1969, "Asymptotic Properties of Non-Linear Least Squares Estimators," The Annals of Mathematical Statistics, 40, 633-643

Andrews, D. W. K., 1992, "Generic Uniform Convergence," Econometric Theory, 8, 241-257

Andrews, D. W. K., 1994, "Empirical Process Methods in Econometrics," in Handbook of Econometrics, Ch 37, 2247-2294

 

Lecture 3: Consistency of Extremum Estimator -- Theory 9/9

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing,"in Handbook of Econometrics. Ch 36, 2113-2245

 

Lecture 3 continues: Consistency of Extremum Estimator -- Examples 9/14

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing,"in Handbook of Econometrics. Ch 36, 2113-2245

White, H, 1982, "Maximum Likelihood Estimation of Misspecified Models," Econometrica, 50, 1-25

 

Lecture 4: Asymptotic Normality of Extremum Estimator 9/16

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing." In Handbook of Econometrics. Ch 36, 2113-2245

 

Lecture 4.2: Asymptotic Normality of Extremum Estimator 9/21

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing." In Handbook of Econometrics. Ch 36, 2113-2245

 

Lecture 5: Covariance Matrix Estimation and Optimal Weight Matrices 9/23

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing." In Handbook of Econometrics. Ch 36, 2113-2245

 

Lecture 6: Testing Nonlinear Hypotheses 9/28

Readings:

Newey, W. K., and D. McFadden "Large Sample Estimation and Hypothesis Testing." In Handbook of Econometrics. Ch 36, 2113-2245

 

Lecture 7: Nonlinear Inequality Restrictions 9/30

Readings:

Gouriéroux, C., A. Holly and A. Monfort, 1982 "Likelihood Ratio Test, Wald Test, and Kuhn-Tucker Test in Linear Models with Inequality Constraints on the Regression Parameters" Econometrica, 50, 63-80

Wolak, F. A., 1991, "The Local Nature of Hypothesis Tests Involving Inequality Constraints in Nonlinear Models," Econometrica, 59, 981-995

 

Lecture 8: Local Power 10/5

 

Lecture 9: Local Power-Examples 10/7

 

Lecture 10: Empirical Likelihood 10/12

Readings:

Qin, J., and J. Lawless, 1994, "Empirical Likelihood and Generalized Estimating Equations," Annal of Statistics, 22(1), 300-325

Imbens, G. W., 1997, "One-Step Estimator for Over-Identified Generalized Methods of Moment Models," Review of Economic Studies, 64(3), 359-383

Kitamura, Y, and M. Stutzer, 1997, "'An information theoretic alternative to generalized method of moments estimation," Econometrica, 65(4), 861-874

(Survey) Imbens, 2002, "Generalized Method of Moments and Empirical Likelihood," Journal of Business and Economic Statistics, 20(4), 493-506

Lecture 10.2: Empirical Likelihood Continue 10/14

Readings:

Same as above

 

Lecture 11: Empirical Likelihood Optimality 10/19

Readings:

Newey, W. and R. Smith, 2004, "Higher Order Properties of GMM and Generalized Empirical Likelihood Estimators," Econometrica, 72(1), 219-255

Schennach, S. M., 2007, "Point Estimation with Exponentially Tilted Empirical Likelihood," Annals of Statistics, 35(2), 634-672.

Chausse, P., 2010, "Computing Generalized Method of Moments and Generalized Empirical Likelihood with R," unpublished manuscript.

Mittelhammer, R. C., G. G. Judge, and R. Schoenberg, 2003, "Empirical Evidence Concerning the Finite Sample Performance of EL-type Structural Equation Estimation and Inference Methods," unpublished manuscript, University of California - Berkeley.

Guggenberger, P., 2008, "Finite Sample Evidence Suggesting a Heavy Tail Problem of the Generalized Empirical Likelihood Estimator," Econometric Reviews, 26(4-6), 526-541.

 

Lecture 12: Bootstrap - Preparation 11/2

Readings:

Horowitz, J. 2001, "The Bootstrap in Econometrics," in Handbook of Econometrics, Vol. 5, J.J. Heckman and E.E. Leamer, eds., Elsevier Science B.V., 2001, Ch. 52, pp. 3159-3228.

 

Lecture 13: Bootstrap Introduction 11/4 Matlab program

 

Lecture 14: Bootstrap Tests and Confidence Intervals 11/9

 

 

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