Jeff Mills

Headshot of Jeff Mills, PhD

Jeff Mills, PhD

Associate Professor, Department of Economics

N18A Clifton Court Pavilion

513-556-2619

Jeff Mills is Associate Professor of Economics at the University of Cincinnati. He has been at the University of Cincinnati since 1992. Dr. Mills has published articles in some of the leading econometrics and applied economics journals, including Journal of Econometrics, Journal of Applied Econometrics, Econometric Reviews, Empirical Economics, and Applied Economics.

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Teaching Interest

Econometrics and statistics, times series methods, Bayesian inference

Research Interest

Time series econometrics, Bayesian inference and statistical hypothesis testing.

History

Institution: Florida State University

Title: Assistant Professor

End Date: 1992-12-31

Assignments

Director of the PhD program in Economics.

Dates: 2012-08-01

Awards | Honors

Organization: Midwest Econometrics Group

Name: Fellow of the Midwest Econometrics Group

Year Received: 2006

Education

Institution: Washington University

Location: St. Louis

Major: Economics

Dissertation: A Bayesian Learning Model of Expectations Formation

Completed: 1989

Degree: Ph D

Institution: Bristol University

Location: Bristol, UK

Major: Quantitative Economics

Completed: 1983

Degree: MS

Institution: Bristol Polytechnic

Location: Bristol, UK

Major: Economics

Completed: 1982

Degree: BA

Published Contributions

Jeffrey Strawn, Jeffrey Mills, Beau Sauley, jeffrey Welge,  (2018). The Impact of Antidepressant Dose and Class on Treatment Response in Pediatric Anxiety Disorders: A Meta-Analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 235-244.

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, Lauren Vollmer, Katherine McMurray, Jeffrey Mills, Sarah Mossman, Sara Varney, Heidi Schroeder, Renu Sah,  (2018). Acid-sensing T cell death associated gene-8 receptor expression in panic disorder. Brain, Behavior and Immunity, 36-41.

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.

Jeffrey Strawn, Lauren Vollmer, Katherine McMurray, Jeffrey Mills, Sarah Mossman, Sara Varney, Heidi Schroeder, Renu Sah,  (2017). Acid-sensing T cell death associated gene-8 receptor expression in panic disorder. Brain, Behavior and Immunity.

Jeffrey Mills, Olivier Parent,  (2014). Bayesian MCMC inference for spatial models. Handbook of Regional Science, Springer, 1571-1595.

Jeffrey Mills, Sourushe Zandvakili, David Gray,  (2012). New perspectives on Canadian national and regional income inequality. Canadian Journal of Regional Science, 47-56.

Jeffrey Mills,  (2012). Statistics for Spatio-Temporal Data by Noel Cressie and Christopher K. Wikle. Journal of Regional Science, 512-513.

Jeffrey Mills, Sudesh Mujumdar, Peter Cashel-Cordo,  (2005). Is Export-Led Industrial Development a Viable Policy? Some Empirical Evidence. Global Business and Finance Review, .

Jeffrey Mills, David Gray, Sourushe Zandvakili,  (2004). An Analysis of Differential Provincial Income Inequality:  Trends in Canada. Research on Economic Inequality, 449-467.

Jeffrey Mills, Sourushe Zandvakili,  (2004). Analysis of Gender Based Family Income Inequality in Canada. Applied Economics Letters, 469-472.

Sourushe Zandvakili, Jeffrey Mills,  (2003). [Reprint] Statistical Inference via Bootstrapping for Measures of Inequality. The Economics of Poverty and Inequality:  The International Library of Critical Writings in Economics, Edward Elgar Publishing, .

Jeffrey Mills, Sourushe Zandvakili, David Gray,  (2003). Statistical Analysis of Inequality with Decompositions:  the Canadian Experience. Empirical Economics, 291-302.

Jeffrey Mills, Sourushe Zandvakili,  (2003). The Distributional Effects of US Tax and Transfer Policy on the Household. Research on Economic Inequality, 195-212.

Jeffrey Mills, Siva Sivaganesan,  (2001). Econometrics:  An Annotated Bibliography. International Society for Bayesian Analysis Bulletin, 21-24.

Jeffrey Mills, Nicolas Williams,  (2001). The Minimum Wage and Teenage Employment:  Evidence from Time Series. Applied Economics, 285-300.

Jeffrey Mills, Raj Mehta, R Grewal, Sudesh Mujumdar,  (2001). Using Cointegration Analysis for Modeling Marketing Interactions in Dynamic Environments:  Methodological Issues and an Empirical Illustration. Journal of Business Research, 127-144.

Jeffrey Mills, Sourushe Zandvakili,  (2000). The Redistributional Implications of Tax and Transfer Programs in US. Quarterly Review of Economics and Finance, 167-181.

Jeffrey Mills, Nicolas Williams, Kakoli Roy,  (1999). Recent Minimum Wage Increases and the Minimum Wage Labor Force. Journal of Labor Research, 479-492.

Jeffrey Mills, Nicolas Williams,  (1998). Minimum Wage Effects by Gender. Journal of Labor Research, 397-414.

Jeffrey Mills, Sourushe Zandvakili,  (1997). Statistical Inference via Bootstrapping for Measures of Inequality. Journal of Applied Econometrics, 133-150.

Jeffrey Mills, Randall Holcombe,  (1995). Politics and Deficit Finance. Public Finance Quarterly, 448-466.

Jeffrey Mills, Randall Holcombe,  (1994). Is Revenue-Neutral Tax Reform Revenue Neutral?. Public Finance Quarterly, 65-85.

Jeffrey Mills, Kislaya Prasad,  (1992). A Comparison of Model Selection Criteria. Econometric Reviews, 201-233.

Jeffrey Mills,  (1992). Bayesian Prediction Tests for Structural Stability. Journal of Econometrics, 381-388.

Jeffrey Mills,  (1992). Making Inflexible Investment Decisions With Incomplete Information. Computers and Mathematics with Applications, 247-258.

Jeffrey Mills, James Payne,  (1991). Structural Change and Yugoslavian Consumption in the 1980s. Economic Analysis and Workers' Management, 277-288.

Accepted Contributions

Gary Cornwall, Jeffrey Mills, Beau Sauley, Huibin Weng,  (Accepted). Bayesian predictive inference for Granger Causality. Advances in Econometrics.

Research in progress

Title: A Bayesian Test for Heteroskedasticity

Status: On-Going

Research Type: Scholarly

Title: An Axiomatic Characterization of Statistical Inference

Status: On-Going

Research Type: Scholarly

Title: Bayesian Predictive Inference for Granger Causality

Status: On-Going

Research Type: Scholarly

Title: Objective Bayesian ANOVA Testing

Status: On-Going

Research Type: Scholarly

Title: Testing for Stationarity in Panels with Small T

Status: On-Going

Research Type: Scholarly

Title: The Econometrics of Learning-by-Doing.

Status: Writing Results

Research Type: Scholarly

Presentations

Title: BayesTesting.jl: Bayesian Hypothesis Testing without Tears.

Organization: University College London

Location: London

Year: 2018

Title: Bayesian Hypothesis Testing without Tears.

Organization: Department of Economics, University of Kansas

Location: University of Kansas, Lawrence, KS

Year: 2018

Title: Bayesian predictive inference for Granger Causality

Organization: Midwest Economics Association

Location: Cincinnati, OH

Year: 2017

Title: Objective Bayesian Cointegration Testing

Organization: Midwest Economics Association

Location: Cincinnati, OH

Year: 2017

Title: Objective Bayes Factors for Joint Hypothesis Testing.

Organization: Midwest Econometrics Group

Location: Univ. of Illinois, Champagne-Urbana, IL

Year: 2016

Title: Bayesian Predictive Inference for Granger Causality

Organization: Midwest Econometrics Group

Location: University of Illinois at Urbana-Champaign

Year: 2016

Title: Objective Bayes Factors for Model Selection

Organization: Federal Reserve Bank of St. Loius

Location: St. Louis Federal Reserve

Year: 2015

Title: Objective Bayes ANOVA Testing.

Organization: Midwest Economics Association

Location: Evanston, IL

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

Title: A Robust Bayesian Unit Root Test

Organization: Midwest Econometrics Group

Location: Purdue University

Year: 2009

Title: Bayes Factors for Testing Precise Hypotheses

Organization: Midwest Economics Association

Location: Chicago

Year: 2008

Title: How to Test Precise Hypotheses If We Must?

Organization: Midwest Econometrics Group

Location: St. Louis

Year: 2007

Title: Objective Bayes Factors for Precise Hypothesis Test

Organization: National Science Foundation

Location: Washington University, St. Louis

Year: 2007