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Heterogeneous technology and panel data : the case of the agricultural production function

  • Mundlak, Yair
  • Butzer, Rita
  • Larson, Donald F.

The paper presents empirical analysis of a panel of countries to estimate an agricultural production function using a measure of capital in agriculture absent from most studies. The authors employ a heterogeneous technology framework where implemented technology is chosen jointly with inputs to interpret information obtained in the empirical analysis of panel data. The paper discusses the scope for replacing country and time effects by observed variables and the limitations of instrumental variables. The empirical results differ from those reported in the literature for cross-country studies, largely in augmenting the role of capital, in combination with productivity gains, as a driver of agricultural growth. The results indicate that total factor productivity increased at an average rate of 3.2 percent, accounting for 59 percent of overall growth. Most of the remaining gains stem from large inflows of fixed capital into agriculture. The results also suggest possible constraints to fertilizer use.

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Paper provided by The World Bank in its series Policy Research Working Paper Series with number 4536.

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Date of creation: 01 Feb 2008
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Handle: RePEc:wbk:wbrwps:4536
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  1. G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
  2. Larson, David F. & Butzer, Rita & Mundlak, Yair & Crego, Al, 2000. "A Cross-Country Database for Sector Investment and Capital," World Bank Economic Review, World Bank Group, vol. 14(2), pages 371-91, May.
  3. Hausman, Jerry A. & Taylor, William E., 1981. "Panel data and unobservable individual effects," Journal of Econometrics, Elsevier, vol. 16(1), pages 155-155, May.
  4. Mundlak, Yair, 1996. "Production Function Estimation: Reviving the Primal," Econometrica, Econometric Society, vol. 64(2), pages 431-38, 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. Mundlak, Yair & Larson, Don & Butzer, Ritz, 1997. "The determinants of agricultural production : a cross-country analysis," Policy Research Working Paper Series 1827, The World Bank.
  7. Fulginiti, Lilyan E. & Perrin, Richard K., 1992. "Prices and Productivity in Agriculture," Staff General Research Papers 543, Iowa State University, Department of Economics.
  8. Mundlak, Yair & Larson, Donald F. & Butzer, Rita, 2004. "Agricultural dynamics in Thailand, Indonesia and the Philippines," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(1), March.
  9. Durlauf, Steven N. & Johnson, Paul A. & Temple, Jonathan R.W., 2005. "Growth Econometrics," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 8, pages 555-677 Elsevier.
  10. Mundlak, Yair, 1993. "On the Empirical Aspects of Economic Growth Theory," American Economic Review, American Economic Association, vol. 83(2), pages 415-20, May.
  11. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
  12. Barbara J. Craig & Philip G. Pardey & Johannes Roseboom, 1997. "International Productivity Patterns: Accounting for Input Quality, Infrastructure, and Research," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1064-1076.
  13. Lau, Lawrence J. & Yotopoulos, Pan A., 1989. "The meta-production function approach to technological change in world agriculture," Journal of Development Economics, Elsevier, vol. 31(2), pages 241-269, October.
  14. Yair MUNDLAK & Donald F. LARSON & Rita BUTZER, 1999. "Rethinking Within and Between Regressions: The Case of Agricultural Production Functions," Annales d'Economie et de Statistique, ENSAE, issue 55-56, pages 475-501.
  15. V. Eldon Ball & Jean-Pierre Butault & Carlos San Juan Mesonada, 2004. "Measuring Real Capital Input in OECD Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 52(3), pages 351-370, November.
  16. Evenson, Robert E & Kislev, Yoav, 1975. " Investment in Agricultural Research and Extension: A Survey of International Data," Economic Development and Cultural Change, University of Chicago Press, vol. 23(3), pages 507-21, April.
  17. Antle, John M, 1983. "Infrastructure and Aggregate Agricultural Productivity: International Evidence," Economic Development and Cultural Change, University of Chicago Press, vol. 31(3), pages 609-19, April.
  18. 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.
  19. James Levinsohn & Amil Petrin, 2000. "Estimating Production Functions Using Inputs to Control for Unobservables," NBER Working Papers 7819, National Bureau of Economic Research, Inc.
  20. 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.
  21. Binswanger, Hans & Yang, Maw-Cheng & Bowers, Alan & Mundlak, Yair, 1987. "On the determinants of cross-country aggregate agricultural supply," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 111-131.
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