IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

A conditional full frontier approach for investigating the Averch-Johnson effect

  • Halkos, George
  • Tzeremes, Nickolaos

This paper applies a probabilistic approach in order to develop conditional and unconditional Data Envelopment Analysis (DEA) models for the measurement of sectors’ input oriented technical and scale efficiency levels for a sample of 23 Greek manufacturing sectors. In order to capture the Averch and Johnson effect (A-J effect), we measure sectors’ efficiency levels conditioned on the number of companies competing within the sectors. Particularly, various DEA models have been applied alongside with bootstrap techniques in order to determine the effect of competition conditions on sectors’ inefficiency levels. Additionally, this study illustrates how the recent developments in efficiency analysis and statistical inference can be applied when evaluating the effect of regulations in an industry. The results reveal that sectors with fewer numbers of companies appear to have greater scale and technical inefficiencies due to the existence of the A-J effect.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://mpra.ub.uni-muenchen.de/35491/1/MPRA_paper_35491.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 35491.

as
in new window

Length:
Date of creation: Dec 2011
Date of revision:
Handle: RePEc:pra:mprapa:35491
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Qi Li & Jeffrey Scott Racine, 2006. "Nonparametric Econometrics: Theory and Practice," Economics Books, Princeton University Press, edition 1, volume 1, number 8355, April.
  2. Leopold Simar & Paul Wilson, 2000. "A general methodology for bootstrapping in non-parametric frontier models," Journal of Applied Statistics, Taylor & Francis Journals, vol. 27(6), pages 779-802.
  3. K. De Witte & M. Verschelde, 2010. "Estimating and explaining efficiency in a multilevel setting: A robust two-stage approach," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 10/657, Ghent University, Faculty of Economics and Business Administration.
  4. Paul Joskow, 2005. "Regulation and Deregulation after 25 Years: Lessons Learned for Research in Industrial Organization," Review of Industrial Organization, Springer, vol. 26(2), pages 169-193, December.
  5. Takayama, Akira, 1969. "Behavior of the Firm under Regulatory Constraint," American Economic Review, American Economic Association, vol. 59(3), pages 255-60, June.
  6. Forsund, Finn R. & Sarafoglou, Nikias, 2005. "The tale of two research communities: The diffusion of research on productive efficiency," International Journal of Production Economics, Elsevier, vol. 98(1), pages 17-40, October.
  7. Cinzia Daraio & Leopold Simar, 2005. "Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: a Unifying Approach," LEM Papers Series 2005/12, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  8. Mark Frank, 2003. "An Empirical Analysis of Electricity Regulation on Technical Change in Texas," Review of Industrial Organization, Springer, vol. 22(4), pages 313-331, June.
  9. Huw Dixon & Joshy Easaw, 2001. "Strategic Responses to Regulatory Policies: What Lessons Can Be Learned from the U.K. Contract Gas Market?," Review of Industrial Organization, Springer, vol. 18(4), pages 379-396, June.
  10. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
  11. Kristof De Witte & Rui C. Marques, 2007. "Designing incenttives in local public utilities, an international comparison of the drinking water sector," Center for Economic Studies - Discussion papers ces0732, Katholieke Universiteit Leuven, Centrum voor Economische Studiën.
  12. 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.
  13. Ying, John S & Shin, Richard T, 1993. "Costly Gains to Breaking Up: LECs and the Baby Bells," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 357-61, May.
  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. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
  16. Larry Blank & John Mayo, 2009. "Endogenous Regulatory Constraints and the Emergence of Hybrid Regulation," Review of Industrial Organization, Springer, vol. 35(3), pages 233-255, November.
  17. William J. Baumol & Alvin K. Klevorick, 1970. "Input Choices and Rate-of Return Regulation: An Overview of the Discussion," Bell Journal of Economics, The RAND Corporation, vol. 1(2), pages 162-190, Autumn.
  18. Simar, Leopold & Zelenyuk, Valentin, 2004. "On testing equality of distributions of technical efficiency scores," MPRA Paper 28003, University Library of Munich, Germany.
  19. Johnson, Leland L, 1973. "Behavior of the Firm Under Regulatory Constraint: A Reassessment," American Economic Review, American Economic Association, vol. 63(2), pages 90-97, May.
  20. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
  21. Michael Maloney, 2001. "Economies and Diseconomies: Estimating Electricity Cost Functions," Review of Industrial Organization, Springer, vol. 19(2), pages 165-180, September.
  22. Forsund,F.R. & Sarafoglou,N., 2000. "On the origins of data envelopment analysis," Memorandum 24/2000, Oslo University, Department of Economics.
  23. Racine, Jeff, 1997. "Consistent Significance Testing for Nonparametric Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 369-78, July.
  24. Cinzia Daraio & Leopold Simar, 2003. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," LEM Papers Series 2003/17, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
  25. 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.
  26. Peter Hall & Jeff Racine & Qi Li, 2004. "Cross-Validation and the Estimation of Conditional Probability Densities," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 1015-1026, December.
  27. Christopoulos, Dimitris K & Tsionas, Efthymios G, 2001. "Banking Economic Efficiency in the Deregulation Period: Results from Heteroscedastic Stochastic Frontier Models," Manchester School, University of Manchester, vol. 69(6), pages 656-76, December.
  28. H. Kim, 1999. "Economic Capacity Utilization and its Determinants: Theory and Evidence," Review of Industrial Organization, Springer, vol. 15(4), pages 321-339, December.
  29. Simar, Leopold & Wilson, Paul W., 2002. "Non-parametric tests of returns to scale," European Journal of Operational Research, Elsevier, vol. 139(1), pages 115-132, May.
  30. Léopold Simar & Valentin Zelenyuk, 2007. "Statistical inference for aggregates of Farrell-type efficiencies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1367-1394.
  31. W. Cooper & C. Lovell, 2011. "History lessons," Journal of Productivity Analysis, Springer, vol. 36(2), pages 193-200, October.
  32. George Halkos & Nickolaos Tzeremes, 2010. "The effect of foreign ownership on SMEs performance: An efficiency analysis perspective," Journal of Productivity Analysis, Springer, vol. 34(2), pages 167-180, October.
  33. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
  34. 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.
  35. H. Craig Petersen, 1975. "An Empirical Test of Regulatory Effects," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 111-126, Spring.
  36. Simar, L. & Wilson, P.W., 1999. "Statistical Inference in Nonparametric Frontier Models: the State of the Art," Papers 9904, Catholique de Louvain - Institut de statistique.
  37. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
  38. Oum, Tae Hoon & Zhang, Yimin, 1995. "Competition and Allocative Efficiency: The Case of the U.S. Telephone Industry," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 82-96, February.
  39. Tristen Hayfield & Jeffrey S. Racine, . "Nonparametric Econometrics: The np Package," Journal of Statistical Software, American Statistical Association, vol. 27(i05).
  40. Van Kolpin, 2001. "Regulation and Cost Inefficiency," Review of Industrial Organization, Springer, vol. 18(2), pages 175-182, March.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:35491. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.