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Analyzing Cost Efficient Production Behavior Under Economies of Scope: A Nonparametric Methodology

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  • Cherchye, L.J.H.
  • Rock, B. de
  • Vermeulen, F.M.P.

    (Tilburg University, Center for Economic Research)

Abstract

In designing a production model for firms that generate multiple outputs, we take as a starting point that such multi-output production refers to economies of scope, which in turn originate from joint input use and input externalities. We provide a nonparametric characterization of cost efficient behavior under these conditions, and subsequently institute necessary and sufficient conditions for data consistency with such efficient behavior that only include observed firm demand and supply data.We illustrate our methodology by examining the cost efficiency of research programs in Economics and Business Management faculties of Dutch universities.This application shows that the proposed methodology may entail robust conclusions regarding cost efficiency differences between universities within specific specialization areas, even when using shadow prices to evaluate the different inputs.

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Bibliographic Info

Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2006-81.

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Date of creation: 2006
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Handle: RePEc:dgr:kubcen:200681

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Web page: http://center.uvt.nl

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Keywords: production behavior; multi-product firms; input externalities; joint input use; economies of scope; nonparametric tests;

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References

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  1. Kim, Kwansoo & Barham, Bradford L. & Chavas, Jean-Paul & Foltz, Jeremy D., 2005. "Research and Development at U.S. Research Universities: An Analysis of Scope Economies," 2005 Annual meeting, July 24-27, Providence, RI 19147, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  2. Laurens Cherchye & Piet Vanden Abeele, 2002. "On Research Efficiency: A Micro-Analysis of Dutch University Research in Economics and Business Management," Public Economics Working Paper Series ces0206, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
  3. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
  4. Kuosmanen, Timo & Cherchye, Laurens & Sipilainen, Timo, 2006. "The law of one price in data envelopment analysis: Restricting weight flexibility across firms," European Journal of Operational Research, Elsevier, vol. 170(3), pages 735-757, May.
  5. 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.
  6. Adonis Yatchew, 1998. "Nonparametric Regression Techniques in Economics," Journal of Economic Literature, American Economic Association, vol. 36(2), pages 669-721, June.
  7. Laurens Cherchye & Bram De Rock & Frederic Vermeulen, 2007. "The Collective Model of Household Consumption: A nonparametric characterization," ULB Institutional Repository 2013/98559, ULB -- Universite Libre de Bruxelles.
  8. Simar, L. & Wilson, P.W., . "Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models," CORE Discussion Papers RP -1304, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  9. Hanoch, Giora & Rothschild, Michael, 1972. "Testing the Assumptions of Production Theory: A Nonparametric Approach," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 256-75, March-Apr.
  10. Niels Christian Petersen, 1990. "Data Envelopment Analysis on a Relaxed Set of Assumptions," Management Science, INFORMS, vol. 36(3), pages 305-314, March.
  11. Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-32, November.
  12. Peter Bogetoft, 1996. "DEA on Relaxed Convexity Assumptions," Management Science, INFORMS, vol. 42(3), pages 457-465, March.
  13. Afriat, Sidney N, 1972. "Efficiency Estimation of Production Function," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 13(3), pages 568-98, October.
  14. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-97, May.
  15. Myles,Gareth D., 1995. "Public Economics," Cambridge Books, Cambridge University Press, number 9780521497695.
  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.
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Cited by:
  1. Fabrice Talla Nobibon & Laurens Cherchye & Bram De Rock & Jeroen Sabbe & Frits Spieksma, 2011. "Heuristics for deciding collectively rational consumption behavior," ULB Institutional Repository 2013/131710, ULB -- Universite Libre de Bruxelles.
  2. Carvalho, Pedro & Marques, Rui Cunha, 2014. "Computing economies of vertical integration, economies of scope and economies of scale using partial frontier nonparametric methods," European Journal of Operational Research, Elsevier, vol. 234(1), pages 292-307.
  3. Cherchye, L.J.H. & Rock, B. de & Vermeulen, F.M.P., 2008. "An Afriat Theorem for the Collective Model of Household Consumption," Discussion Paper 2008-72, Tilburg University, Center for Economic Research.
  4. Cherchye, Laurens & De Rock, Bram & Hennebel, Veerle, 2014. "The economic meaning of Data Envelopment Analysis: A ‘behavioral’ perspective," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 29-37.
  5. 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.

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