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To publish or not to publish? On the aggregation and drivers of research performance

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  • Rogge, Nicky

    ()
    (Hogeschool-Universiteit Brussel (HUB), Belgium)

  • De Witte, Kristof

    (Maastricht University TIER, Faculty of Economics and Business, 6200 MD Maastricht, the Netherlands)

Abstract

This paper presents a methodology to aggregate multidimensional research output. Using a tailored version of the non-parametric Data Envelopment Analysis model, we account for the large heterogeneity in research output and the individual researcher preferences by endogenously weighting the various output dimensions. The approach offers three important advantages compared to the traditional approaches: (1) flexibility in the aggregation of different research outputs into an overall evaluation score; (2) a reduction of the impact of measurement errors and a-typical observations; and (3) a correction for the influences of a wide variety of factors outside the evaluated researchers control. As a result, research evaluations are more effective representations of actual research performance. The methodology is illustrated on a data set of all faculty members at the Hogeschool Universiteit Brussels. The sample is enriched with questionnaire items on the motivation and perception of the researcher. This allows us to explore whether motivation and background characteristics (as age, gender, retention) of the researchers explain variations in measured research performance.

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File URL: https://lirias.hubrussel.be/bitstream/123456789/2870/1/09HRP42.pdf
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Bibliographic Info

Paper provided by Hogeschool-Universiteit Brussel, Faculteit Economie en Management in its series Working Papers with number 2009/42.

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Length: 29 page
Date of creation: Dec 2009
Date of revision:
Handle: RePEc:hub:wpecon:200942

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Web page: http://research.hubrussel.be
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Related research

Keywords: Research performance; Data Envelopment Analysis; Conditional efficiency; Higher education; Composite indicator;

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  1. Sen, Amartya, 1997. "On Economic Inequality," OUP Catalogue, Oxford University Press, number 9780198292975, October.
  2. Kristof DE WITTE & Mika KORTELAINEN, 2008. "Blaming the exogenous environment? Conditional efficiency estimation with continuous and discrete environmental variables," Center for Economic Studies - Discussion papers ces0833, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
  3. Beno�t Godin & Yves Gingras, 2000. "Impact of collaborative research on academic science," Science and Public Policy, Oxford University Press, vol. 27(1), pages 65-73, February.
  4. Joan R. Rodgers & Frank Neri, 2007. "Research Productivity Of Australian Academic Economists: Human-Capital And Fixed Effects ," Australian Economic Papers, Wiley Blackwell, vol. 46(1), pages 67-87, 03.
  5. Cinzia Daraio & Léopold Simar, 2007. "Conditional nonparametric frontier models for convex and nonconvex technologies: a unifying approach," Journal of Productivity Analysis, Springer, vol. 28(1), pages 13-32, October.
  6. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, 09.
  7. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
  8. Laurens Cherchye & & Timo Kuosmanen, 2002. "Benchmarking Sustainable Development: A Synthetic Meta-index Approach," Others 0210001, EconWPA, revised 08 Oct 2002.
  9. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355.
  10. Levin, Sharon G & Stephan, Paula E, 1991. "Research Productivity over the Life Cycle: Evidence for Academic Scientists," American Economic Review, American Economic Association, vol. 81(1), pages 114-32, March.
  11. Daouia, Abdelaati & Simar, Leopold, 2007. "Nonparametric efficiency analysis: A multivariate conditional quantile approach," Journal of Econometrics, Elsevier, vol. 140(2), pages 375-400, October.
  12. Oliver Fabel & Miriam Hein & Robert Hofmeister, 2008. "Research Productivity in Business Economics: An Investigation of Austrian, German and Swiss Universities," German Economic Review, Verein für Socialpolitik, vol. 9, pages 506-531, November.
  13. De Witte, K. & Rogge, N., 2009. "Accounting for exogenous influences in a benevolent performance evaluation of teachers," Working Papers 15, Top Institute for Evidence Based Education Research.
  14. Badin, Luiza & Daraio, Cinzia & Simar, Léopold, 2010. "Optimal bandwidth selection for conditional efficiency measures: A data-driven approach," European Journal of Operational Research, Elsevier, vol. 201(2), pages 633-640, March.
  15. Fox, Kevin J & Milbourne, Ross, 1999. "What Determines Research Output of Academic Economists?," The Economic Record, The Economic Society of Australia, vol. 75(230), pages 256-67, September.
  16. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
  17. Broder, Ivy E, 1993. "Professional Achievements and Gender Differences among Academic Economists," Economic Inquiry, Western Economic Association International, vol. 31(1), pages 116-27, January.
  18. Garey C. Durden & Patricia Gaynor & Kellie Maske, 2002. "Determinants of Scholarly Productivity Among Male and Female Economists," Working Papers 02-12, Department of Economics, Appalachian State University.
  19. Jeffery Racine & Jeffrey Hart & Qi Li, 2006. "Testing the Significance of Categorical Predictor Variables in Nonparametric Regression Models," Econometric Reviews, Taylor & Francis Journals, vol. 25(4), pages 523-544.
  20. Joe Davis & John Huston & Debra Patterson, 2001. "The scholarly output of economists: A description of publishing patterns," Atlantic Economic Journal, International Atlantic Economic Society, vol. 29(3), pages 341-349, September.
  21. G. Johnes & J. Johnes, . "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Working Papers ec17/90, Department of Economics, University of Lancaster.
  22. William E. Becker & Peter E. Kennedy, 2005. "Does Teaching Enhance Research in Economics?," American Economic Review, American Economic Association, vol. 95(2), pages 172-176, May.
  23. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research, Springer, vol. 82(1), pages 111-145, May.
  24. Timo Kuosmanen, 2002. "Modeling Blank Data Entries in Data Envelopment Analysis," Econometrics 0210001, EconWPA.
  25. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
  26. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
  27. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
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Cited by:
  1. De Witte, Kristof & Rogge, Nicky & Cherchye, Laurens & Van Puyenbroeck, Tom, 2013. "Economies of scope in research and teaching: A non-parametric investigation," Omega, Elsevier, vol. 41(2), pages 305-314.
  2. Andrea Diem & Stefan C. Wolter, 2011. "The Use of Bibliometrics to Measure Research Performance in Education Sciences," Economics of Education Working Paper Series 0066, University of Zurich, Institute for Strategy and Business Economics (ISU), revised May 2013.

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