J. Tobias

J. Tobias, Joshua C. C. Chan, 2019, Topics in Identification, Limited Dependent Variables, Partial Observability, Experimentation, and Flexible Modeling: Part B.

Schools, school quality and achievement growth: Evidence from the Philippines

Justin L. Tobias, Marigee Bacolod, J. Tobias, 2006 .

Bayesian Method of Moments Analysis of Time Series Models withan Application to Forecasting Turning Points in Output

A. Zellner, H. Ryu, J. Tobias, 1998 .

Bayesian Method of Moments (BMOM) Analysis of Parametric and Semiparametric Regression Models

Arnold Zellner, Justin L. Tobias, A. Zellner, 1998 .

Are Returns to Schooling Concentrated Among the Most Able? A Semiparametric Analysis of the Ability–earnings Relationships

J. Tobias, 2003 .

Book Reviews

Jane L. Harvill, Marc S. Paolella, Thomas P. Witelski, 2009 .

Bayesian inference in a correlated random coefficients model: Modeling causal effect heterogeneity with an application to heterogeneous returns to schooling

J. Tobias, Mingliang Li, 2011 .

Discussion of Volatility in Agribusiness-Oriented Asset Markets: Peeking Through a Bayesian Window

J. Tobias, 2011 .

Across-Regime Covariance Restrictions in Treatment Response Models

D. Poirier, J. Tobias, 2001 .

Bayesian model averaging and selection

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Some stationary time series models

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Choice of prior

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Some nonstationary time series models

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Basics of Bayesian computation

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Bayesian Econometric Methods: Latent variable models

D. Poirier, J. Tobias, Gary Koop, 2007 .

Bayesian Modeling of School Effects Using Hierarchical Models with Smoothing Priors

Justin L. Tobias, Mingliang Li, J. Tobias, 2005 .

Returns to Schooling and Bayesian Model Averaging: A Union of Two Literatures

Mingliang Li, J. Tobias, Mingliang Li, 2004 .

Assessing Assessments of School Performance

J. Tobias, 2004 .

Bayesian Econometrics Methods

J. Tobias, Joshua C. C. Chan, 2021, Handbook of Labor, Human Resources and Population Economics.

Confronting Prior Convictions: On Issues of Prior Sensitivity and Likelihood Robustness in Bayesian Analysis

Hedibert F. Lopes, Justin L. Tobias, H. Lopes, 2011 .

Bayesian Inference in the Gravity Model

J. Tobias, P. Ranjan, 2007 .

NO . 834 BAYESIAN METHOD OF MOMENTS ( BMOM ) ANALYSIS OF PARAMETRIC AND SEMIPARAMETRIC REGRESSION MODELS y

A. Zellner, H. Ryu, J. Tobias, 2015 .

Bayesian Econometric Methods

Gary Koop, Justin L. Tobias, Dale J. Poirier, 2007 .

Semiparametric Bayesian inference in multiple equation models

D. Poirier, J. Tobias, Gary Koop, 2005 .

Bayesian Semiparametric Inference in Multiple Equation Models

D. Poirier, J. Tobias, Gary Koop, 2003 .

Estimating demand systems when outcomes are correlated counts

Daniel J. Phaneuf, Justin L. Tobias, Joseph A. Herriges, 2008 .

The effects of cognitive ability and high school quality on college entry decisions: nonparametric estimation of parameters of interest

J. Tobias, 2003 .

The Minimum Wage and Wage Inequality

J. Dinardo, J. Tobias, 2001 .

Nonparametric Density and Regression Estimation

Justin L. Tobias, John DiNardo, J. Dinardo, 2001 .

Four Parameters of Interest in the Evaluation of Social Programs

James J. Heckman, Justin L. Tobias, Edward Vytlacil, 2001 .

Explaining Trends in Body Mass Index Using Demographic Counterfactuals

J. Tobias, Brendan Kline, 2014 .

Bayesian Modeling of School Eects Using Hierarchical Models with

J. Tobias, Mingliang Li, 2005 .

The analysis of vehicle crash injury-severity data: A Markov switching approach with road-segment heterogeneity

Fred L. Mannering, Justin L. Tobias, Yingge Xiong, 2014 .

Estimation, Learning and Parameters of Interest in a Multiple Outcome Selection Model

Justin L. Tobias, J. Tobias, 2004 .

Do Dropouts Suffer from Dropping Out? Estimation and Prediction of Outcome Gains in Generalized Selection Models

Justin L. Tobias, Dale J. Poirier, Mingliang Li, 2004 .

The Case of California

Justin L. Tobias, J. Tobias, 2004 .

Schools, School Quality and Academic Achievement: Evidence from the Philippines

J. Tobias, Marigee Bacolod, 2005 .

Bayesian Analysis of Structural Effects in an Ordered Equation System

Mingliang Li, J. Tobias, Justin L Tobias, 2006 .

Controlling for Observed and Unobserved Site Characteristics in Rum Models of Recreation Demand

J. Herriges, J. Tobias, 2012 .

Simple Estimators for Treatment Parameters in a Latent-Variable Framework

Justin L. Tobias, Edward Vytlacil, E. Vytlacil, 2003, Review of Economics and Statistics.

Nonparametric Density and Regression Estimation

J. Tobias, John E. Dinardo, 2001 .

The Propagation of Regional Recessions

James D. Hamilton, Michael T. Owyang, Michael J. Dueker, 2010, Review of Economics and Statistics.

Learning about heterogeneity in returns to schooling

J. Tobias, Gary Koop, 2004 .

Learning About Unobserved Heterogeneity in Returns to Schooling 1 April , 2003

J. Tobias, Gary Koop, 2003 .

The wages of BMI: Bayesian analysis of a skewed treatment–response model with nonparametric endogeneity

Justin L. Tobias, Brendan Kline, J. Tobias, 2008 .

Learning About Unobserved Heterogeneity in Returns to Schooling1 March, 2002

J. Tobias, Gary Koop, 2002 .

Simple Estimators for Treatment Parameters in a Latent Variable Framework with an Application to Estimating the Returns to Schooling

Edward Vytlacil, J. Heckman, E. Vytlacil, 2000 .

A finite-sample hierarchical analysis of wage variation across public high schools: evidence from the NLSY and high school and beyond

J. Tobias, Mingliang Li, 2003 .

On the Robustness of Coecient Estimates to the Inclusion of Proxy Variables

Kenneth R. Troske, James P. Ziliak, J. Tobias, 2007 .

Bayesian Econometric Methods

D. Poirier, J. Tobias, Gary Koop, 2019 .

Monte Carlo Experiments and a Few Observations on Bayesian Quantile Regression

J. Tobias, 2024, Theoretical Economics Letters.