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

A Dynamic Characterization of Efficiency

  • Spyro Stefanou

    (Pennsylvania State University)

The definition and measurement of dynamic economic performance has been addressed obliquely in the literature with the notions of scope economies and capacity utilization measures, but little work has focused on develop the static theory analogs of efficiency measures into the dynamic context. This paper is an attempt to identify some of the conceptual and methodological issues to be addressed. A model allowing for dynamic production decisions in the face of inefficiency is presented to illustrate some of the issues and the extensions necessary to identify truly dynamic performance measures.

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://economics.soc.uoc.gr/wpa/docs/Dyn_Characterization_of_Efficiency.pdf
File Function: Revised version
Download Restriction: no

Paper provided by University of Crete, Department of Economics in its series Working Papers with number 0712.

as
in new window

Length: 24 pages
Date of creation:
Date of revision: 00 Oct 2006
Handle: RePEc:crt:wpaper:0712
Contact details of provider: Postal: Gallos - Rethymno 74100
Phone: +30 831 77405
Fax: +30 831 77406
Web page: http://economics.soc.uoc.gr/

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. Ariel Pakes & Paul McGuire, 1992. "Computing Markov perfect Nash equilibria: numerical implications of a dynamic differentiated product model," Discussion Paper / Institute for Empirical Macroeconomics 58, Federal Reserve Bank of Minneapolis.
  2. Chang, Ching-Cheng & Stefanou, Spiro E., 1988. "Specification and estimation of asymmetric adjustment rates for quasi-fixed factors of production," Journal of Economic Dynamics and Control, Elsevier, vol. 12(1), pages 145-151, March.
  3. Tirole, Jean, 1985. "Asset Bubbles and Overlapping Generations," Econometrica, Econometric Society, vol. 53(6), pages 1499-1528, November.
  4. George S Olley & Ariel Pakes, 1992. "The Dynamics Of Productivity In The Telecommunications Equipment Industry," Working Papers 92-2, Center for Economic Studies, U.S. Census Bureau.
  5. Genius, Margarita & Pantzios, Christos J. & Tzouvelekas, Vangelis, 2006. "Information Acquisition and Adoption of Organic Farming Practices," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 31(01), April.
  6. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
  7. Jati Sengupta, 1997. "Persistence of dynamic efficiency in Farrell models," Applied Economics, Taylor & Francis Journals, vol. 29(5), pages 665-671.
  8. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
  9. Weil, Philippe, 1987. "Love thy children : Reflections on the Barro debt neutrality theorem," Journal of Monetary Economics, Elsevier, vol. 19(3), pages 377-391, May.
  10. Efthymios G. Tsionas, 2006. "Inference in dynamic stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(5), pages 669-676.
  11. Kumbhakar, Subal C., 1997. "Modeling allocative inefficiency in a translog cost function and cost share equations: An exact relationship," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 351-356.
  12. Russell Cooper & John Haltiwanger & Laura Power, 1995. "Machine Replacement and the Business Cycle: Lumps and Bumps," NBER Working Papers 5260, National Bureau of Economic Research, Inc.
  13. Phoebus J Dhrymes, 1991. "The Structure Of Production Technology Productivity And Aggregation Effects," Working Papers 91-5, Center for Economic Studies, U.S. Census Bureau.
  14. Seung Ahn & Robin Sickles, 2000. "Estimation of long-run inefficiency levels: a dynamic frontier approach," Econometric Reviews, Taylor & Francis Journals, vol. 19(4), pages 461-492.
  15. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-74, May.
  16. Pinar Celikkol & Spiro Stefanou, 2004. "Productivity Growth Patterns in U.S. Food Manufacturing: Case of Meat Products Industry," Working Papers 04-04, Center for Economic Studies, U.S. Census Bureau.
  17. Taylor, Timothy G. & Monson, Michael J., 1985. "Dynamic Factor Demands for Aggregate Southeastern United States Agriculture," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 17(02), December.
  18. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
  19. Jiro Nemoto & Mika Goto, 2003. "Measurement of Dynamic Efficiency in Production: An Application of Data Envelopment Analysis to Japanese Electric Utilities," Journal of Productivity Analysis, Springer, vol. 19(2), pages 191-210, April.
  20. P. R. Kleindorfer & C. H. Kriebel & G. L. Thompson & G. B. Kleindorfer, 1975. "Discrete Optimal Control of Production Plans," Management Science, INFORMS, vol. 22(3), pages 261-273, November.
  21. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-43, February.
  22. Ericson, Richard & Pakes, Ariel, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," Review of Economic Studies, Wiley Blackwell, vol. 62(1), pages 53-82, January.
  23. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
  24. Oivind Anti Nilsen & Fabio Schiantarelli, 1996. "Zeroes and Lumps in Investment: Empirical Evidence on Irreversibilities and Non-Convexities," Boston College Working Papers in Economics 337., Boston College Department of Economics, revised 01 Nov 2000.
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:crt:wpaper:0712. 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: (Kostis Pigounakis)

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.