Economics 211B Winter 2019
Instructor: Carlos Dobkin
Office Hours: Monday 2:00-3:00 (E2 Room 441)
E-mail: cdobkin@ucsc.edu
The focus of this course is on learning to conduct high
quality empirical research. You are required to complete the assigned reading before each class and to prepare a one page write up of it. Your grade will be based on class participation (10%),
your write ups (20%), your homeworks (30%) and the final exam. We will use both Stata and R for analysis and SAS for data management.
The four reference texts for the course are
1. Cameron A Colin and Pravin Trivadi (2005) Microeconometrics: Methods and Applications. Cambridge University
Press.
2. Wooldridge, Jeffrey (2002) Econometric Analysis of Cross Section and Panel Data. MIT Press.
3. Imbens, Guido and Jeffrey Wooldridge (2007) What's New in Econometrics. NBER Summer Course.
4. Angrist, Joshua and Jorn-Steffen Pischke (2008) Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press.
Syllabus |
(This is subject to change depending on how rapidly we proceed)
- Lecture 1 Ordinary Least Squares and Agnostic Regression
- Lecture 2 Introduction to Causality and Research Design
- Lecture 3 Cautionary Notes
- *AP Chapters 3.2.3
- *Lalonde, Robert. "Evaluating Econometric Evaluations of Training Programs
with Experimental Data." American Economic Review, 1986, 76, 604-620.
- *Freedman, David. "Statistical Models and Shoe Leather." Sociological Methodology, 1991, 21, 291-313.
- Scheiber, Noam. "Freaks and Geeks: How Freakonomics is Ruining the Dismal
Science." The New Republic, 2007, April 2, 27-31.
- Lecture 4 Selection on Observables: Regression Adjustment and Nonparametric Regression
- Lecture 5 Selection on Observables: Regression Adjustment and Nonparametric Regression
- *Blundell, Richard and Alan Duncan. "Kernel Regression in Empirical
Microeconomics." The Journal of Human Resources, 1998, 33, 62-87.
- Yule, G. Udny. "An Investigation into the Causes of Changes in Pauperism in
England, Chiefly During the Last Two Intercensal Decades (Part I.)." Journal of
the Royal Statistical Society, 1899, 62, 249-295.
- JW Chapters 4, 18.3.1.
- CT Chapter 9.
- Lecture 6 Selection on Observables: The Propensity Score and Dimensionality Reduction
- Lecture 7 Selection on Observables: The Propensity Score and Dimensionality Reduction
- *Dehejia, Rajeev and Sadek Wahba. "Causal Effects in Non-Experimental
Studies: Reevaluating the Evaluation of Training Programs." Journal of the
American Statistical Association, 94, 1999, 1053-1062.
- Smith, Jeffrey and Petra Todd. "Does Matching Overcome LaLonde's Critique of
Non-experimental Methods?" Journal of Econometrics, 2005, 125, 305-353.
- Arceneaux, Kevin, Alan Gerber, and Donald Green. "Comparing Experimental
and Matching Methods Using a Large-Scale Voter Mobilization Experiment."
Political Analysis, 2006, 14, 37-62.
- Lecture 8 Selection on Unobservables Designs: Fixed Effects Models and Differences-in-Differences
- Lecture 9 Selection on Unobservables Designs: Fixed Effects Models and Differences-in-Differences
- Lecture 10 Selection on Unobservables Designs: Fixed Effects Models and Differences-in-Differences
- Lecture 11 Selection on Unobservables Designs: Case Studies with Synthetic Controls
- *Card, David and Alan Krueger. "Minimum Wages and Employment: A Case Study of the Fast-food Industry in New Jersey and Pennsylvania."
American Economic Review, 1994, 84, 487-496.
- *Abadie, Alberto, Alexis Diamond and Jens Hainmueller. "SyntheticControl Methods for Comparative Case Studies: Estimating the Effect of
California's Tobacco Control Program." NBER Working Paper No. W12831, 2007.
- Card, David. "The Impact of the Mariel Boatlift on the Miami Labor
Market." Industrial and Labor Relations Review, 1990, 43, 245-257.
- CT Chapter 25.5.
- Lecture 12 Instrumental Variables Models: The IV Estimator
- Lecture 13 Instrumental Variables Models: The IV Estimator
- Lecture 14 Instrumental Variables Models: Heterogeneous Treatment Effects
- Lecture 15 Instrumental Variables Models: 2SLS and Weak Instruments
- Lecture 16 Instrumental Variables Models: 2SLS and Weak Instruments
- Lecture 17: Regression Discontinuity Designs
- *AP Chapter 6
- *Thistlethwaite, Donald and Donald Campbell. "Regression-Discontinuity Analysis: An Alternative to the Ex Post Fact Experiment." Journal of
Educational Psychology, 1960, 51, 309-317.
- *Imbens, Guido and Thomas Lemieux. "Regression Discontinuity Designs: A
Guide to Practice." Journal of Econometrics, 2008, 142, 615-635.
- CT Chapter 25.6.
- WNE Lecture 3.
- Lecture 18: Regression Discontinuity Designs
- McCrary, Justin. "Manipulation of the Running Variable In the Regression
Discontinuity Design: A Density Test." Journal of Econometrics, 2008, 142,
698-714.
- Angrist, Joshua and Victor Lavy. "Using Maimonides' Rule To Estimate The
Effect Of Class Size On Scholastic Achievement." Quarterly Journal of
Economics, 1999, 114, 533-575.
- *DiNardo, John and David Lee. "Economic Impacts of New Unionization on
Private Sector Employers: 1984-2001." Quarterly Journal of Economics, 2004,119, 1383-1441.
- Lecture 19: Inference
- *AP Chapter 7