Gary Cornwall

Headshot of Gary Cornwall

Gary Cornwall

PhD Student, Department of Economics

300 Carl H. Lindner Hall

513-556-5146

Gary is a PhD student in the Economic Department of the Carl H. Lindner College of Business.

Download vita.

Teaching Interest

Econometrics, Microeconomics

Research Interest

Spatial Econometrics, Bayesian Econometric Methods, Income Distributions, Income Inequality, Savings and Retirement

Awards | Honors

Organization: Lindner College of Business

Name: Dean's List of Teaching Excellence

Year Received: 2015

Organization: TAFT Research Center

Name: Charles Phelps Taft Dissertation Fellowship

Year Received: 2015

Education

Institution: University of Cincinnati

Location: Cincinnati, Ohio

Major: Applied Economics

Completed: 2012

Degree: MA

Institution: University of Cincinnati

Location: Cincinnati, Ohio

Major: Economics

Completed: 2010

Degree: BA

Published Contributions

Jeffrey Strawn, Jeffrey Mills, Gary Cornwall, Sarah Mossman, Sara Varney, Brooks Keeshin, Paul Croakin,  (2018). Buspirone in Children and Adolescents with Anxiety:  A Review and Bayesian Analysis of Abandoned Randomized Controlled Trials. . Journal of Child and Adolescent Psychopharmacology, 2-9.

Jeffrey Strawn, Eric Dobson, Jeffrey Mills, Gary Cornwall, Dara Salosky, Boris Birmaher, Scott Compton, John Piacentini,  (2017). Placebo Response in Pedriatic Anxiety Disorders:  Results from the Child/Adolescent Anxiety Multimodal Study. Journal Adolescent and Child Psychopharmacology, 501-508.

Gary Cornwall, Olivier Parent,  (2017). Embracing Heterogeneity:  The Spatial Autoregressive Mixture Model. Regional Science and Urban Economics, 148-161.

Research in progress

Title: Bayesian Predictive Inference for Granger Causality

Status: On-Going

Research Type: Scholarly

Title: Mixture Distributions with Spatial Dependency

Description: Methodological paper focused on incorporating measures of spatial dependency into Bayesian mixture modeling.

Status: Writing Results

Research Type: Scholarly

Title: Spatial Durbin Mixture Models

Description: This paper extends the finite mixture model structure to include Spatial Durbin and Spatial Durbin Error model specifications. The partial derivatives of this heterogeneous spatial model structure are shown to differ between border and interior agents; the designation of which is based on group assignment and first order neighbor designation. It is shown that, under conditions of heterogeneous spatial scalars, the own-partial and cross-partial derivatives have predictable but differing behaviors than their homogeneous model counterparts. As an illustration the model is employed to look at individual income based on a data set from the restricted Panel Study of Income Dynamics data files.

Status: Writing Results

Research Type: Scholarly

Title: The Econometrics of Learning-by-Doing.

Status: Writing Results

Research Type: Scholarly

Title: Where do I fit in? Examining Employee Membership Profiles

Description: Research examining working adults determines if there are distinct and interpretable employee membership profiles based on perceived organizational membership. Contrary to prior theorizing on employee membership typologies which suggests four different profiles, the current study suggests evidence of three. A method commonly used in economics research and quickly gaining popularity in organizational research—mixture modeling and latent profile analysis is used. We provide a description of each typology and explain why this information is crucial to organizations. Implications in practice include what may happen if employers do not understand differences between their employees when it comes to perceived organizational membership.

Status: On-Going

Research Type: Scholarly

Presentations

Title: Where do I fit in? Examining employee membership profiles.

Organization: Society for Industrial and Organizational Psychology

Location: Orlando, FL

Year: 2017

Title: Bayesian predictive inference for Granger Causality

Organization: Midwest Economics Association

Location: Cincinnati, OH

Year: 2017

Title: Bayesian Predictive Inference for Granger Causality

Organization: Midwest Econometrics Group

Location: University of Illinois at Urbana-Champaign

Year: 2016

Title: Spatial Durbin Mixture Models

Organization: Midwest Econometrics Group

Location: University of Illinois at Urbana-Champaign

Year: 2016

Title: Mixture Distributions with Spatial Dependency

Organization: Southern Regional Science Association

Location: Washington DC

Year: 2016

Title: Mixture Distributions with Spatial Dependency

Organization: Midwest Econometrics Group

Location: St. Louis Federal Reserve Bank

Year: 2015

Title: The Econometrics of Learning by Doing

Organization: Midwest Economics Association

Location: Minneapolis, MN

Year: 2015

Title: The Econometrics of Learning by Doing

Organization: Midwest Econometrics Group

Location: University of Iowa

Year: 2014