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Identifying Factor Productivity by Dynamic Panel Data and Control Function Approaches: A Comparative Evaluation for EU Agriculture

  • Petrick, Martin
  • Kloss, Mathias

The classical problem of agricultural productivity measurement has regained interest due 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 alternative identification strategies for the case of agriculture and test two related, innovative estimators using farm-level panel datasets from seven EU countries. The 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 in 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 that improving the availability of working capital is the most promising way to increase agricultural productivity.

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Paper provided by German Association of Agricultural Economists (GEWISOLA) in its series 53rd Annual Conference, Berlin, Germany, September 25-27, 2013 with number 156104.

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Date of creation: 2013
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Handle: RePEc:ags:gewi13:156104
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  1. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  2. 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.
  3. Petrick, Martin & Kloss, Mathias, 2012. "Drivers of agricultural capital productivity in selected EU member states," Working Papers 132838, Factor Markets, Centre for European Policy Studies.
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  10. 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).
  11. Ciaian, Pavel, & Kancs, d’Artis & Swinnen, Jo & Van Herck, Kristine & Vranken, Liesbet, 2012. "Institutional Factors Affecting Agricultural Land Markets," Factor Markets Working Papers 118, Centre for European Policy Studies.
  12. Mundlak, Yair & Butzer, Rita & Larson, Donald F., 2008. "Heterogeneous technology and panel data : the case of the agricultural production function," Policy Research Working Paper Series 4536, The World Bank.
  13. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Wiley Blackwell, vol. 70(2), pages 317-341, 04.
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  15. 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).
  16. 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.
  17. 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.
  18. 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.
  19. 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.
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