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Justin Tobias
Justin Tobias
Professor of Economics, Purdue University
Verified email at purdue.edu
Title
Cited by
Cited by
Year
Bayesian econometric methods
J Chan, G Koop, DJ Poirier, JL Tobias
Cambridge University Press, 2019
5612019
Four parameters of interest in the evaluation of social programs
J Heckman, JL Tobias, E Vytlacil
Southern Economic Journal 68 (2), 210-223, 2001
3862001
Nonparametric density and regression estimation
J DiNardo, JL Tobias
Journal of Economic Perspectives 15 (4), 11-28, 2001
3362001
What are the consequences of consequentiality?
J Herriges, C Kling, CC Liu, J Tobias
Journal of environmental economics and management 59 (1), 67-81, 2010
2522010
A note on aggregation, disaggregation and forecasting performance
A Zellner, J Tobias
2001998
Simple estimators for treatment parameters in a latent-variable framework
J Heckman, JL Tobias, E Vytlacil
Review of Economics and Statistics 85 (3), 748-755, 2003
1702003
The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity
Y Xiong, JL Tobias, FL Mannering
Transportation research part B: methodological 67, 109-128, 2014
1672014
Simple estimators for treatment parameters in a latent variable framework with an application to estimating the returns to schooling
JJ Heckman, JL Tobias, EJ Vytlacil
National Bureau of Economic Research, 2000
1372000
The wages of BMI: Bayesian analysis of a skewed treatment–response model with nonparametric endogeneity
B Kline, JL Tobias
Journal of Applied Econometrics 23 (6), 767-793, 2008
992008
Further results on Bayesian method of moments analysis of the multiple regression model
A Zellner, J Tobias
International Economic Review 42 (1), 121-139, 2001
822001
Schools, school quality and achievement growth: Evidence from the Philippines
MP Bacolod, JL Tobias
Economics of education review 25 (6), 619-632, 2006
762006
Learning about heterogeneity in returns to schooling
G Koop, JL Tobias
Journal of Applied Econometrics 19 (7), 827-849, 2004
702004
Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships1
JL Tobias
Oxford Bulletin of Economics and Statistics 65 (1), 1-29, 2003
672003
Bayesian inference for the gravity model
P Ranjan, JL Tobias
Journal of Applied Econometrics 22 (4), 817-838, 2007
592007
On the predictive distributions of outcome gains in the presence of an unidentified parameter
DJ Poirier, JL Tobias
Journal of Business & Economic Statistics 21 (2), 258-268, 2003
592003
Semiparametric Bayesian inference in smooth coefficient models
G Koop, JL Tobias
Journal of Econometrics 134 (1), 283-315, 2006
442006
Returns to schooling and Bayesian model averaging: A union of two literatures
JL Tobias, M Li
Journal of Economic Surveys 18 (2), 153-180, 2004
402004
Bayesian analysis of treatment effects in an ordered potential outcomes model
M Li, JL Tobias
Modelling and Evaluating Treatment Effects in Econometrics 21, 57-91, 2008
382008
Semiparametric Bayesian inference in multiple equation models
G Koop, DJ Poirier, J Tobias
Journal of Applied Econometrics 20 (6), 723-747, 2005
382005
Confronting prior convictions: On issues of prior sensitivity and likelihood robustness in Bayesian analysis
HF Lopes, JL Tobias
Annu. Rev. Econ. 3 (1), 107-131, 2011
342011
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