Justin L. Tobias

Associate Professor of Economics

Iowa State University

tobiasj@iastate.edu

515-294-5028

COMPLETE RESUME

BOOK : Bayesian Econometric Methods

(With Gary Koop and Dale J. Poirier)

Errata

Link to Book at AMAZON.com

Book Homepage Containing MATLAB Files for Exercises

Volume 7 of Econometric Exercises Series, Cambridge University Press, 2007.

Education:

• University of Chicago, Ph.D., 1999. Committee:: Jason Abrevaya, James Heckman, Arnold Zellner

Academic Positions:

• Associate Professor of Economics, Iowa State University: 2004-Present
• Assistant/ Associate Professor, University of California-Irvine (Tenured During 5th year) 1999-2004

Honors / Editoral Positions:

• Distinguished Author of the Journal of Applied Econometrics (As of 2008)
• Iowa State University, College of Liberal Arts and Sciences Early Achievement in Research Award (1-3 awards per year for the College), 2008.
• The UC-Irvine Distinguished Assistant Professor Award for Teaching (one award made per year for the campus), 2003-2004.
• Editoral Board, Journal of Modern Applied Statistical Methods, 2002-Present
• Associate Editor, Economics of Education Review (As of 2008)

Papers in Progress:

• Do Individuals with the Highest Returns to Schooling Acquire the Most Schooling? Bayesian Inference in a Correlated Random Coefficient Model (with Mingliang Li). In Progress.
• Measuring the impact of WIC on intra-household calcium consumption (with A. Ishdorj and H. Jensen) . Accepted for Publication .
• What are the Consequences of Consequentiality? (with J. Herriges, C. Kling, Chih-Chen Liu). Revised and resubmitted.

• Something with Brendan Kline on BMI, latent types and Gaussian mixtures.

Selected Publications

• The Wages of BMI: Bayesian Analysis of a Skewed Treatment-Response Model with Nonparametric Endogeneity (with Brendan Kline).
  • Journal of Applied Econometrics, forthcoming.

• Estimating Demand Systems when Outcomes are Correlated Counts (with J. Herriges and D. Phaneuf).
  • Journal of Econometrics, forthcoming.

• Bayesian Inference for the Gravity Model (with P. Rajan),
• Journal of Applied Econometrics, 2007.

• Semiparametric Bayesian Inference in Smooth Coefficient Models (with Gary Koop).
  • Journal of Econometrics, 134,283-315, 2006.

• Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model
  • Econometric Reviews , 25(1), 1-40, 2006 .

• Bayesian Econometrics (with Dale J. Poirier) ,
  • Palgrave Handbook of Econometrics, Volume 1: Theoretical Econometrics. (T.C. Mills and K. Patterson, eds.). February 2006.

• Semiparametric Bayesian Inference in Multiple Equations Models (with G. Koop and D.J. Poirier)
  • Journal of Applied Econometrics, 2005.

• Learning about Heterogeneity in Returns to Schooling (with Gary Koop).
  • Journal of Applied Econometrics, 2004.

• Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability-Earnings Relationship
  • Oxford Bulletin of Economics and Statistics, 2003.

• Simple Estimators for Treatment Parameters in a Latent Variable Framework (with Jim Heckman and Ed Vytlacil)
  • Review of Economics and Statistics, 2003.

• On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter (with Dale J. Poirier)
  • Journal of Business and Economic Statistics, 2003.

• Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models (with M. Li and D.J. Poirier)
  • Journal of Applied Econometrics, 2003.

• Nonparametric Density and Regression Estimation (with John DiNardo)
  • Journal of Economic Perspectives, 2001.

• Further Results on Bayesian Method of Moments Analysis of the Multiple Regression Model (with Arnold Zellner)
  • International Economic Review, 2001.