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Estimation of Production Functions using Average Data

Author

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

Abstract

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.

Suggested Citation

  • Salois, Matthew J. & Livanis, Grigorios T. & Moss, Charles B., 2006. "Estimation of Production Functions using Average Data," 2006 Annual Meeting, February 5-8, 2006, Orlando, Florida 35401, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeaso:35401
    DOI: 10.22004/ag.econ.35401
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    References listed on IDEAS

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    2. Stoker, Thomas M, 1993. "Empirical Approaches to the Problem of Aggregation Over Individuals," Journal of Economic Literature, American Economic Association, vol. 31(4), pages 1827-1874, December.
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    4. 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.
    5. Jesus Felipe & Franklin M. Fisher, 2003. "Aggregation in Production Functions: What Applied Economists should Know," Metroeconomica, Wiley Blackwell, vol. 54(2‐3), pages 208-262, May.
    6. Steven Klepper & Edward E. Leamer, 1982. "Consistent Sets of Estimates," UCLA Economics Working Papers 282, UCLA Department of Economics.
    7. 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.
    8. Levi, Maurice D, 1973. "Errors in the Variables Bias in the Presence of Correctly Measured Variables," Econometrica, Econometric Society, vol. 41(5), pages 985-986, September.
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    Cited by:

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