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

Identifying Factor Productivity from Micro-data: The case of EU agriculture

  • Petrick, Matin
  • Kloss, Mathias

The classical problem of agricultural productivity measurement has regained interest owing to recent price hikes in world food markets. At the same time, there is a new methodological debate on the appropriate identification strategies for addressing endogeneity and collinearity problems in production function estimation. We examine the plausibility of four established and innovative identification strategies for the case of agriculture and test a set of related estimators using farmlevel panel datasets from seven EU countries. The newly suggested control function and dynamic panel approaches provide attractive conceptual improvements over the received ‘within’ and duality models. Even so, empirical implementation of the conceptual sophistications built into these estimators does not always live up to expectations. This is particularly true for the dynamic panel estimator, which mostly failed to identify reasonable elasticities for the (quasi-) fixed factors. Less demanding proxy approaches represent an interesting alternative for agricultural applications. In our EU sample, we find very low shadow prices for labour, land and fixed capital across countries. The production elasticity of materials is high, so improving the availability of working capital is the most promising way to increase agricultural productivity.

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://www.factormarkets.eu/system/files/FM%20WP34%20Identifying%20Factor%20Productivity%20from%20Micro-Data.pdf
Download Restriction: no

Paper provided by Centre for European Policy Studies in its series Factor Markets Working Papers with number 144.

as
in new window

Length: 41 pages
Date of creation: Jan 2013
Date of revision:
Handle: RePEc:eps:fmwppr:144
Contact details of provider: Postal:
Place du Congrès, B-1000 Bruxelles

Phone: (+322) 229-39-11
Fax: (+322) 229-39-71
Web page: http://www.ceps.eu
Email:


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. Joel Rodrigue & Hiroyuki Kasahara, 2004. "Does the Use of Imported Intermediates Increase Productivity? Plant-Level Evidence," Econometric Society 2004 North American Summer Meetings 511, Econometric Society.
  2. Mundlak, Yair & Butzer, Rita & Larson, Donald F., 2012. "Heterogeneous technology and panel data: The case of the agricultural production function," Journal of Development Economics, Elsevier, vol. 99(1), pages 139-149.
  3. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
  4. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
  5. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
  6. Amit Gandhi & Salvador Navarro & David Rivers, 2011. "On the Identification of Production Functions: How Heterogeneous is Productivity?," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 20119, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
  7. Stephen Bond & Måns Söderbom, 2005. "Adjustment Costs and the Identification of Cobb Douglas Production Functions," Economics Series Working Papers 2005-W04, University of Oxford, Department of Economics.
  8. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, June.
  9. Ciaian, Pavel & Kancs, d'Artis & Swinnen, Johan F.M. & Van Herck, Kristine & Vranken, Liesbet, 2012. "Institutional Factors Affecting Agricultural Land Markets," Working Papers 120251, Factor Markets, Centre for European Policy Studies.
  10. Steve Bond & Måns Söderbom, 2005. "Adjustment costs and the identification of Cobb Douglas production functions," IFS Working Papers W05/04, Institute for Fiscal Studies.
  11. Pollak, Robert A, 1985. "A Transaction Cost Approach to Families and Households," Journal of Economic Literature, American Economic Association, vol. 23(2), pages 581-608, June.
  12. Blundell, R. & Bond, S., 1995. "Initial Conditions and Moment Restrictions in Dynamic Panel Data Models," Economics Papers 104, Economics Group, Nuffield College, University of Oxford.
  13. Thomas Glauben & Martin Petrick & Hendrik Tietje & Christoph Weiss, 2009. "Probability and timing of succession or closure in family firms: a switching regression analysis of farm households in Germany," Applied Economics, Taylor & Francis Journals, vol. 41(1), pages 45-54.
  14. Richard Blundell & Steve Bond, 1999. "GMM estimation with persistent panel data: an application to production functions," IFS Working Papers W99/04, Institute for Fiscal Studies.
  15. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-97, November.
  16. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
  17. Bonnieux, Francois, 1989. "Estimating Regional-Level Input Demand for French Agriculture Using a Translog Production Function," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 16(2), pages 229-41.
  18. Shumway, C. Richard, 1995. "Recent Duality Contributions In Production Economics," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 20(01), July.
  19. Tocco, Barbara & Davidova, Sophia & Bailey, Alastair, 2012. "Key Issues in Agricultural Labour Markets: A Review of Major Studies and Project Reports on Agriculture and Rural Labour Markets," Working Papers 122847, Factor Markets, Centre for European Policy Studies.
  20. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
  21. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, june. pag.
  22. Petrick, Martin, 2003. "Empirical measurement of credit rationing in agriculture: a methodological survey," IAMO Discussion Papers 45, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
  23. Mundlak, Yair, 2001. "Production and supply," Handbook of Agricultural Economics, in: B. L. Gardner & G. C. Rausser (ed.), Handbook of Agricultural Economics, edition 1, volume 1, chapter 1, pages 3-85 Elsevier.
  24. Martin Petrick & Laure Latruffe, 2006. "Contractual Relations in Agricultural Credit Markets: A Hedonic Pricing Approach with Application to Poland," Journal of Agricultural Economics, Wiley Blackwell, vol. 57(1), pages 49-63, 03.
  25. Ackerberg, Daniel & Lanier Benkard, C. & Berry, Steven & Pakes, Ariel, 2007. "Econometric Tools for Analyzing Market Outcomes," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 6, chapter 63 Elsevier.
  26. Paolo Sckokai & Daniele Moro, 2009. "Modelling the impact of the CAP Single Farm Payment on farm investment and output," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 36(3), pages 395-423, September.
  27. Thijssen, Geert, 1994. "Supply Response and Dynamic Factor Demand of Dutch Dairy Farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 21(2), pages 241-58.
  28. Kazukauskas, Andrius & Newman, Carol F. & Thorne, Fiona S., 2010. "Analysing the Effect of Decoupling on Agricultural Production: Evidence from Irish Dairy Farms using the Olley and Pakes Approach," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 59(3).
  29. Ackerberg, Daniel & Caves, Kevin & Frazer, Garth, 2006. "Structural identification of production functions," MPRA Paper 38349, University Library of Munich, Germany.
  30. Petrick, Martin & Kloss, Mathias, 2012. "Drivers of agricultural capital productivity in selected EU member states," Factor Markets Working Papers 137, Centre for European Policy Studies.
  31. Catherine Benjamin & Euan Phimister, 2002. "Does Capital Market Structure Affect Farm Investment? A Comparison using French and British Farm-Level Panel Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1115-1129.
  32. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-54, July.
  33. Silke Huettel & Anne Margarian, 2009. "Structural change in the West German agricultural sector," Agricultural Economics, International Association of Agricultural Economists, vol. 40(s1), pages 759-772, November.
  34. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
  35. Amil Petrin & Brian P. Poi & James Levinsohn, 2004. "Production function estimation in Stata using inputs to control for unobservables," Stata Journal, StataCorp LP, vol. 4(2), pages 113-123, June.
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:eps:fmwppr:144. 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: (Eleni Kaditi)

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.