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Estimation of Production Functions using Average Data

  • Salois, Matthew J.
  • Livanis, Grigorios T.
  • Moss, Charles B.

Agricultural economists rely on aggregated data at various levels depending on data availability and the econometric techniques employed. However, the implication of aggregation on economic relationships remains an open question. To examine the impact of aggregation on estimation, Monte Carlo techniques and data are employed on production practices.

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File URL: http://purl.umn.edu/35401
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Paper provided by Southern Agricultural Economics Association in its series 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida with number 35401.

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Date of creation: 2006
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Handle: RePEc:ags:saeaso:35401
Contact details of provider: Web page: http://www.saea.org/

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  1. Levi, Maurice D, 1973. "Errors in the Variables Bias in the Presence of Correctly Measured Variables," Econometrica, Econometric Society, vol. 41(5), pages 985-86, September.
  2. Chanjin Chung & Harry M. Kaiser, 2002. "Advertising Evaluation and Cross-Sectional Data Aggregation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 800-806.
  3. Steven Klepper & Edward E. Leamer, 1982. "Consistent Sets of Estimates," UCLA Economics Working Papers 282, UCLA Department of Economics.
  4. Dean R. Hyslop & Guido W. Imbens, 2000. "Bias from Classical and Other Forms of Measurement Error," NBER Technical Working Papers 0257, National Bureau of Economic Research, Inc.
  5. Stoker, Thomas M, 1993. "Empirical Approaches to the Problem of Aggregation Over Individuals," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1827-74, December.
  6. Charles Moss, 2000. "Estimation of the Cobb-Douglas with zero input levels: bootstrapping and substitution," Applied Economics Letters, Taylor & Francis Journals, vol. 7(10), pages 677-679.
  7. Bertrand M. Koebel, 2002. "Can Aggregation Across Goods be Achieved by Neglecting The Problem? Property Inheritance and Aggregation Bias," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(1), pages 223-255, February.
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