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Jason Abrevaya, Chair 2225 Speedway, Stop C3100, Austin, TX 78712 • Admin: 512-471-3211 & Advising: 512-471-2973

Jason Abrevaya

Professor Ph.D., Massachusetts Institute of Technology

Professor and Department Chair
Jason Abrevaya

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Biography

Dr. Abrevaya's research has focused on econometric methodology, applied microeconomics, and demography. His work has utilized large-scale birth databases within the United States to research topics including birthweight inequality, the effects of smoking upon birth outcomes, and the practice of gender selection among specific ethnic groups. His research has been funded by the National Science Foundation and the Robert Wood Johnson Foundation.

NIH Biosketch

ECO 341K • Introduction To Econometrics

34470 • Spring 2011
Meets TTH 1230pm-200pm ART 1.110
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INTRODUCES THE STUDENT TO STANDARD REGRESSION PROCEDURES OF PARAMETER ESTIMATION AND HYPOTHESIS TESTING IN ECONOMICS.

PREREQUISITE: ECONOMICS 420K AND 329 WITH A GRADE OF AT LEAST C- IN EACH.

Econometrics is an application of statistical methods to the estimation of economic relationships. Students are expected to have an understanding of both statistics and economic theory. This course reveals how relationships among economic variables are discerned from data. The primary focus of this course is on estimation methodology. If more information is needed contact instructor.

Publications

Abrevaya, Jason and Robert McCulloch, forthcoming, "Reversal of fortune: a statistical analysis of penalty calls in the National Hockey League," Journal of Quantitative Analysis in Sports.

Abrevaya, Jason and Shu Shen, forthcoming, "Estimation of censored panel-data models with slope heterogeneity," Journal of Applied Econometrics.

Abrevaya, Jason, forthcoming, "The projection approach for unbalanced panel data," Econometrics Journal.

Abrevaya, Jason and Laura Puzzello, 2012, "Taxes, cigarette consumption, and smoking intensity: comment," American Economic Review, 102(4): 1751-1763.

Abrevaya, Jason and Daniel Hamermesh, 2012, "Charity and favoritism in the field: are female economists nicer (to each other)?" Review of Economics and Statistics, 94: 202-207.

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Abrevaya, Jason and Karen Mulligan, 2011, Effectiveness of state-level vaccination mandates: evidence from the varicella vaccine, Journal of Health Economics, 30: 966-976.

Abrevaya, Jason and Youngki Shin, 2011, "Rank estimation of partially linear index models," Econometrics Journal.

Larrick, Richard, Thomas Timmerman, Andrew Carton, and Jason Abrevaya, 2011, "Temper, temperature, and temptation: heat-related retaliation in baseball," Psychological Science 22(4): 423-428.

Abrevaya, Jason, Jerry Hausman, and Shakeeb Khan, 2010, "Testing for causal effects in a generalized regression model with endogenous regressors," Econometrica 78(6): 2043–2061.

Abrevaya, Jason and Hongfei Tang, 2011, "Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission," Empirical Economics.

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J. Abrevaya, "Are there missing girls in the United States? Evidence from birth data." American Economic Journal: Applied Economics Vol. 1, No. 2, Jan 2009, pp. 1-34.

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Abrevaya, J. & Dahl, C. (2008, September) The effects of birth inputs on birthweight: evidence from quantile estimation on panel data. Journal of Business and Economic Statistics, 26, 379-397.

Abrevaya, J. (2008, September) On recombinant estimation for experimental data. Experimental Economics, 11, 25-52.

J. Abrevaya, "Estimating the Effect of Smoking on Birth Outcomes Using a Matched Panel Data Approach," Journal of Applied Econometrics, Vol. 21, No. 4, 2006, pp. 489-519.

Visit the JAE Data Archive or click "download" to retrieve a zipped archive of the data

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Code and Data

Gauss code for rank-based estimators (including maximum rank correlation estimator, monotone rank estimator, and leapfrog estimator)

Sample Gauss code for Hausman, Abrevaya, Scott-Morton (1998) misclassification MLE

Sample Stata code for Hausman, Abrevaya, Scott-Morton (1998) misclassification MLE

Stata files and code for Abrevaya and Tang ("Body mass index in families: spousal correlation, endogeneity, and intergenerational transmission")

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