Econ 628:  Topics in Applied Econometrics

Instructor:                    Thomas Lemieux

Class meetings:           Tuesdays & Thursdays,  14:00 – 15:30,  Buchanan D340

 

Office hours:               Wednesday, 14:00 – 15:30

 

 

Course description

 

This goal of this course is to help students conduct independent empirical research.   It would be beyond the scope of this course, however, to provide a comprehensive review of the set of tools available to empirical researchers.  The course will rather cover a selected number of topics and papers to illustrate some basic principles of sound empirical research.  

 

During most of the semester, I will present a number of empirical papers.  During this period, each student will also have to choose on paper that she/he will present later in the semester.  

 

In the second part of the semester, each class will start with a 30-45 minutes presentation by a student followed by a mix of class discussion and formal lecture by the instructor.  Presentations by students serve a dual purpose.  First, they make sure all students participate actively in class.  Second, they guarantee that topics covered in class will be closer to the interests of students than if the instructor was to choose all the papers to be covered in class.

 

Finally, four empirical problem sets will be distributed throughout the semester.

 

Evaluation

 

Empirical problem sets:          30%

Class presentation:                  30%

Final exam:                             40%

 

 

Reading List

 

The reading list will evolve as we cover new topics suggested by students throughout the semester.  The remainder of the syllabus lists a number of topics and papers that I will discuss during the first few weeks of class.

 


 

 

READING LIST

 

INTRODUCTION AND BACKGROUND

 

Angus Deaton and John Muellbauer, Economics and Consumer Behaviour, Cambridge University Press 1980  
 

 

CONTROLLED EXPERIMENTS

 

Charles Michalopoulos, Philip K. Robins and David Card, “When financial work incentives pay for themselves: evidence from a randomized social experiment for welfare recipients,Journal of Public Economics 29(1), January 2005, 5-29

 

Micheal Kremer and Edward Miguel “Worms: Identifying Impacts on Education and Health in the Presence of Treatment Externalities," Econometrica, 2004, 72 (1), 159-217

 

 

 

NATURAL EXPERIMENTS, INSTRUMENTAL VARIABLES, DIFFERENCE-IN-DIFFERENCES

 

Joshua Angrist, “Lifetime Earnings and the Vietnam Era Draft Lottery: Evidence from Social Security Administrative Records,” American Economic Review 80(3), June 1990, 313-36

 

Chang-Tai Hsieh, “Do Consumers React to Anticipated Income Changes? Evidence from the Alaska Permanent Fund?American Economic Review 93(1), March 2003, 397-405

 

Phil Oreopoulos "Do Dropouts Drop Out Too Soon?  Evidence From Changes in School-Leaving Laws" University of Toronto Working Paper, forthcoming in the American Economic Review

 

Angrist, Joshua D., and Alan Krueger.Does Compulsory School Attendance Affect Schooling and Earnings?” Quarterly Journal of Economics, Vol. 106, No. 4, pp. 979, 1014, 1991

 

Duflo, Esther, Sendhil Mullainathan, and Marianne Bertrand “How Much Should We Trust Difference in Differences Estimates?”, Quarterly Journal of Economics 119(1), February 2004, pp. 249-275.

 

Andrews, Donald, and James Stock, “Inference with Weak Instruments”, NBER Technical Working Paper No. 313, August 2005

 

 

MATCHING AND PROPENSITY SCORE ESTIMATION

 

Dehejia, R., Wahba, S. 1999. “Causal effects in noexperimental studies: Reevaluating the evaluation of training programs,Journal of the American Statistical Association 94(448), 1053-1062.

 

Smith, Jeffrey and Petra Todd. 2004. “Does Matching Overcome LaLonde’s Critique of Nonexperimental Estimators?” Journal of Econometrics, forthcoming

( http://www.glue.umd.edu/~jsmithz/papers/nsw_061303_double.pdf )

 

Imbens, Guido, “Nonparametric Estimation of Average Treatment Effects under Exogeneity: A ReviewReview of Economics and Statistics 86(1), February 2004, 4-29.

 

LOCAL AVERAGE TREATMENT EFFECT

 

Joshua Angrist and Guido Imbens, "Identification and Estimation of Local Average Treatment Effects," Econometrica, March 1994.

David Card, “Estimating the Return to Schooling: Progress on Some Persistent Econometric Problems,” Econometrica, 2001, vol. 69, issue 5, pages 1127-60

GENERAL EQUILIBRIUM EFFECTS?

 

Lise, Jeremy, Shannon Seitz and Jeffrey Smith. 2004. “Equilibrium Policy Experiments and the Evaluation of Social Programs, University of Maryland mimeo.

( http://www.glue.umd.edu/~jsmithz/papers/ssp15.pdf )

 

Marco Bianchi, Björn R. Gudmundsson, and Gylfi Zoega, “Iceland’s Natural Experiment in Supply-Side Economics,” American Economic Review 91(5), December 2001, 1564-79

 

James J. Heckman; Lance Lochner; Christopher Taber, “General-Equilibrium Treatment Effects: A Study of Tuition Policy, American Economic Review 88(2), May 1998, 381-386.

 

REGRESSION DISCONTINUITY

 

David Lee, “The Electoral Advantage to Incumbency and Voters' Valuation of Politicians' Experience: A Regression Discontinuity Analysis of Elections to the U.S. House,” NBER Working Paper #8441, August 2001.

 

Thomas Lemieux and Kevin Milligan, “Incentive Effects of Social Assistance: A Regression Discontinuity Approach,” unpublished manuscript, NBER Working Paper No 10514, June 2004.

 

STRUCTURAL ESTIMATION

 

Berry, S., J. Levinsohn and A. Pakes, Automobile Prices in Market

Equilibrium, Econometrica 63(4), July 1995, 841-890

 

David Card and Thomas Lemieux, “Can Falling Supply Explain the Rising Return to College for Younger Men? A Cohort-Based Analysis” Quarterly Journal of Economics 116, May 2001, pp. 705-46.

 

Michael Baker and Gary Solon, “Earnings Dynamics and Inequality among Canadian Men, 1976-1992: Evidence from Longitudinal Income Tax Records,” Journal of Labor Economics, 2003, vol. 21, issue 2, pages 267-288

 

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