Prof Tom Stanley

STAFF PROFILE

Position

Professor of Meta-Analysis

Faculty

Faculty of Business and Law

Department

BL Deakin Business School

Campus

International Appointments

Biography

Professor Tom Stanley is a Meta-Analysis Professor in Deakin Business School. For 31 years, Tom taught many different courses in economics, statistics, and the humanities at Hendrix College, an elite, nationally recognized, undergraduate teaching university.  In spite of his heavy teaching load of 6 or 7 different courses per year, his pioneering work on meta-analysis has received wide acclaim, with nearly all meta-analyses of economics research using the methods and the research framework developed and introduced in his papers. In particular, Stanley and Jarrell (Journal of Economic Surveys, 1989) was the first paper on meta-analysis in economics, introducing a new empirical review and assessment methodology, meta-regression analysis, specifically designed to evaluate econometric research findings. This paper along with meta-regression analysis, in general, was chosen by the editors of the Journal of Economic Survey in 2011 as one of the four most important developments in economics over the last quarter century. His paper, “Wheat from chaff: Meta-analysis as quantitative literature review,” published in the Journal of Economic Perspectives (a leading American Economic Association journal) in 2001, has become the standard reference in the field of meta-regression with 854 citations. 

Tom has published dozens of papers, often along with Alfred Deakin Professor, Chris Doucouliagos, that develop new methods of meta-analysis and meta-regression and that apply these methods to a wide range of specific research fields within economics as well as health and psychology.  Currently, he is developing and applying new approaches for ‘meta-science’ that investigate the credibility of large areas of research (e.g., economics and psychology) through meta-analysis surveys of many thousands of research papers (Ioannidis et al., 2017; Stanley et al., 2018).  Aside from his active research programme, Stanley is a member of DeLMAR (Deakin Lab for the Meta-Analysis of Research), gives numerous workshops and presentations, and co-teaches a PhD class on meta-analysis, MMM909 Meta-Analysis Research Methods.

Read more on Tom's profile

Research interests

  • Meta-Analysis
  • Labour Economics
  • Meta-Science

Affiliations

  • Associate Editor, Journal of Economic Surveys.
  • Founding Member and Convener, MAER-Net (Meta-Analysis of Economics Research-Network).
  • Elected Member, SRSM (Society of Research Synthesis Methods).

Teaching interests

  • Meta-Analysis
  • Econometrics
  • Economics

Awards

  • Organized the 2016 MAER-Net Colloquium at Hendrix College, USA,  1-2 October 2016.
  • Czech Science Foundation, 15-02411S, 'Development and Application of Meta-Regression Methods in Economics', 50,000 CZK each year, Czech Republic, 2015-2017.
  • Czech National Bank, 'A Meta-Analysis of Empirical Evidence for the Calibration of the CNB’s Core Model', Czech Republic, 2014-2015.
  • UK’s Department for International Development, $18,000 to mentor funded research teams on meta-analysis, 2013-2015.
  • UK’s Department for International Development, $11,000 to mentor three funded research teams on meta-analysis, United Kingdom, 2011-2012.
  • UK’s Department for International Development, $40,000 for a Workshop and Colloquium on meta-analysis, United Kingdom, 2010-2011. 
  • Organized the 2011 MAER-Net Colloquium at University of Cambridge, United Kingdom,  16-18 Sept 2011.
  • Organized the 2010 MAER-Net Colloquium at Hendrix College, 1-2 October 2010.
  • Environmental Protection Agency STAR (Science to Achieve Results) Grant #RD-832-421-01 $400,000 (with Randall Rosenberger), USA, 2005-2009.
  • Anbar Electronic Intelligence Citation of Excellence, 1999. 
  • Distinguished Paper Award, Southwestern Society of Economists, 1992.

Publications

Filter by

2020

Reporting guidelines for meta-analysis in economics

T Havrnek, T Stanley, H Doucouliagos, P Bom, J Geyer-Klingeberg, I Iwasaki, W Reed, K Rost, R van Aert

(2020), pp. 1-7, Journal of Economic Surveys, London, Eng., C1

journal article
2019

Do house prices ride the wave of immigration?

M Larkin, Z Askarov, C Doucouliagos, C Dubelaar, M Klona, J Newton, T Stanley, A Vocino

(2019), Vol. 46, pp. 1-8, Journal of housing economics, Amsterdam, The Netherlands, C1

journal article

Is profit sharing productive? A meta-regression analysis

H Doucouliagos, P Laroche, D Kruse, T Stanley

(2019), pp. 1-32, British journal of industrial relations, Chichester, Eng., C1

journal article
2018

How credible is trade union research? Forty years of evidence on the monopoly-voice trade-off

C Doucouliagos, R Freeman, P Laroche, T Stanley

(2018), Vol. 71, pp. 287-305, ILR review, London, Eng., C1

journal article

Skating on thin evidence: implications for public policy

C Doucouliagos, M Paldam, T Stanley

(2018), Vol. 54, pp. 16-25, European journal of political economy, Amsterdam, The Netherlands, C1

journal article

Does ICT generate economic growth? A meta-regression analysis

T Stanley, C Doucouliagos, P Steel

(2018), Vol. 32, pp. 705-726, Journal of economic surveys, Chichester, Eng., C1

journal article

Where does profit sharing work best? A meta-analysis on the role of unions, culture, and values

Christos Doucouliagos, Patrice Laroche, Douglas Kruse, T Stanley

(2018), pp. 1-45, IZA discussion paper, Bonn, Germany, C1

journal article

What meta-analyses reveal about the replicability of psychological research

T Stanley, Evan Carter, Hristos Doucouliagos

(2018), Vol. 144, pp. 1325-1346, Psychological bulletin, Washinton, D.C., C1

journal article
2017

Neither fixed nor random: weighted least squares meta-regression

T Stanley, H Doucouliagos

(2017), Vol. 8, pp. 19-42, Research synthesis methods, Chichester, Eng., C1

journal article

Finding the power to reduce publication bias

T Stanley, C Doucouliagos, J Ioannidis

(2017), Vol. 36, pp. 1580-1598, Statistics in medicine, London, Eng., C1

journal article

The power of bias in economics research

C Doucouliagos, J Ioannidis, T Stanley

(2017), Vol. 127, pp. F236-F265, Economic journal, Oxford, Eng., C1

journal article

Limitations of PET-PEESE and other meta-analysis methods

T Stanley

(2017), Vol. 8, pp. 581-591, Social psychological and personality science, London, Eng., C1

journal article

Quasi-experimental study designs series-paper 10: synthesizing evidence for effects collected from quasi-experimental studies presents surmountable challenges

B Becker, A Aloe, M Duvendack, T Stanley, J Valentine, A Fretheim, P Tugwell

(2017), Vol. 89, pp. 84-91, Journal of clinical epidemiology, Amsterdam, The Netherlands, C1

journal article

Quasi-experimental study designs series-paper 7: assessing the assumptions

T Brnighausen, C Oldenburg, P Tugwell, C Bommer, C Ebert, M Barreto, E Djimeu, N Haber, H Waddington, P Rockers, B Sianesi, J Bor, G Fink, J Valentine, J Tanner, T Stanley, E Sierra, E Tchetgen, R Atun, S Vollmer

(2017), Vol. 89, pp. 53-66, Journal of clinical epidemiology, Amsterdam, The Netherlands, C1

journal article
2016

Evidence of nicotine replacement's effectiveness dissolves when meta-regression accommodates multiple sources of bias

T Stanley, S Massey

(2016), Vol. 79, pp. 41-45, Journal of clinical epidemiology, Amsterdam, The Netherlands, C1-1

journal article
2015

Neither fixed nor random: weighted least squares meta-analysis

T Stanley, C Doucouliagos

(2015), Vol. 34, pp. 2116-2127, Statistics in medicine, Chichester, Eng., C1-1

journal article

Married with children: what remains when observable biases are removed from the reported male marriage wage premium

M de Linde Leonard, T Stanley

(2015), Vol. 33, pp. 72-80, Labour economics, Amsterdam, The Netherlands, C1-1

journal article
2014

Publication selection and the income elasticity of the value of a statistical life

H Doucouliagos, T Stanley, W Viscusi

(2014), Vol. 33, pp. 67-75, Journal of health economics, Amsterdam, The Netherlands, C1

journal article

Does the UK minimum wage reduce employment? A meta-regression analysis

M de Linde Leonard, T Stanley, H Doucouliagos

(2014), Vol. 52, pp. 499-520, British journal of industrial relations, Chichester, England, C1

journal article

Meta-regression approximations to reduce publication selection bias

T Stanley, C Doucouliagos

(2014), Vol. 5, pp. 60-78, Research synthetis methods, London, Eng., C1-1

journal article
2013

Meta-analysis of economics research reporting guidelines

T Stanley, H Doucouliagos, M Giles, J Heckemeyer, R Johnston, P Laroche, J Nelson, M Paldam, J Poot, G Pugh, R Rosenberger, K Rost

(2013), Vol. 27, pp. 390-394, Journal of Economic Surveys, C1

journal article

Are all economic facts greatly exaggerated? Theory competition and selectivity

C Doucouliagos, T Stanley

(2013), Vol. 27, pp. 316-339, Journal of Economic Surveys, C1

journal article

What's to do about empirical economics?

T Stanley

(2013), Vol. 27, pp. 996-996, Journal of economic surveys, Chichester, Eng., C1-1

journal article

Publication selection in health policy research: the winner's curse hypothesis

J Costa-Font, A McGuire, T Stanley

(2013), Vol. 109, pp. 78-87, Health policy, Amsterdam, The Netherlands, C1-1

journal article

Does economics add up? An introduction to meta-regression analysis

T Stanley

(2013), Vol. 10, pp. 207-220, European journal of economics and economic policies: intervention, Cheltenham, Eng., C1-1

journal article
2012

Meta-regression analysis in economics and business

T Stanley, H Doucouliagos

(2012), pp. 1-190, Meta-Regression Analysis in Economics and Business, A1

book

Pay for Performance and Corporate Governance Reform

H Doucouliagos, J Haman, T Stanley

(2012), Vol. 51, pp. 670-703, Industrial Relations, C1

journal article

Are estimates of the value of a statistical life exaggerated?

C Doucouliagos, T Stanley, M Giles

(2012), Vol. 31, pp. 197-206, Journal of Health Economics, C1

journal article
2010

Picture this: A simple graph that reveals much ado about research

T Stanley, H Doucouliagos

(2010), Vol. 24, pp. 170-191, Journal of Economic Surveys, C1

journal article

Could it be better to discard 90% of the data? A statistical paradox

T Stanley, S Jarrell, H Doucouliagos

(2010), Vol. 64, pp. 70-77, American Statistician, C1

journal article
2009

Publication selection bias in minimum-wage research? A meta-regression analysis

H Doucouliagos, T Stanley

(2009), Vol. 47, pp. 406-428, British Journal of Industrial Relations, C1

journal article
2008

Meta-regression analysis as the socio-economics of economics research

T Stanley, C Doucouliagos, S Jarrell

(2008), Vol. 37, pp. 276-292, Journal of Socio-Economics, C1

journal article
2005

Publication bias in union-productivity research?

H Doucouliagos, P Laroche, T Stanley

(2005), Vol. 60, Relations Industrielles, C1

journal article
2000

An empirical critique of the Lucas critique

T Stanley

(2000), Vol. 29, pp. 91-107, Journal of socio-economics, Amsterdam, The Netherlands, C1-1

journal article
1998

Gender wage discrimination bias? A meta-regression analysis

T Stanley, S Jarrell

(1998), Vol. 33, pp. 947-973, Journal of human resources, Madison, Wis., C1-1

journal article
1991

"Regression-Discontinuity Design" By Any Other Name Might Be Less Problematic

T Stanley

(1991), Vol. 15, pp. 605-624, Evaluation Review, London, England, C1-1

journal article

Random Measurement Error Does Not Bias the Treatment Effect Estimate in the Regression-Discontinuity Design: I. The Case of No Interaction

J Cappelleri, W Trochim, T Stanley, C Reichardt

(1991), Vol. 15, pp. 395-419, Evaluation Review, London, England, C1-1

journal article

Let's get serious about Caprice

T Stanley

(1991), Vol. 20, pp. 37-56, Journal of socio-economics, Amsterdam, The Netherlands, C1-1

journal article
1990

Opportunity to achieve: identifying mathematically gifted black students

A Robinson, R Bradley, T Stanley

(1990), Vol. 15, pp. 1-12, Contemporary educational psychology, Amsterdam, The Netherlands, C1-1

journal article
1988

Forecasting from fallible data: correcting prediction bias with Stein?rule least squares

T Stanley

(1988), Vol. 7, pp. 103-113, Journal of forecasting, Chichester, Eng., C1-1

journal article
1986

Stein-rule least squares estimation: a heuristic for fallible data

T Stanley

(1986), Vol. 20, pp. 147-150, Economics letters, Amsterdam, The Netherlands, C1-1

journal article

Funded Projects at Deakin

No Funded Projects at Deakin found

Supervisions

No completed student supervisions to report