Reconstructing Disaggregate Production Functions
AbstractThis paper demonstrates a method for reconstructing flexible form production functions using minimal disaggregated data sets. The policy focus of our approach puts emphasis on the ability of the model to reproduce the existing production system and predict the disaggregate outcomes of policy changes. We combine Positive Mathematical Programming (PMP) with Generalized Maximum Entropy (GME) estimation to capture the individual heterogeneity of the local production environment, and allow the reconstructed production function to precisely replicate the input usage and outputs produced in the base year. Since we can generate demand, supply and substitution elasticities from the reconstructed model we can represent a wide range of policy responses. The empirical application used in this paper is a production model of California's irrigated crop sector that was constructed to measure the economic effect of environmental policy changes to irrigation water supplies, as part of a joint State and Federal program termed CalFed. We demonstrate that the disaggregate regional models give greater predictive precision, when compared with the model reconstructed on the aggregate data, and that they show a significant variation in the calculated regional elasticities of input demand and output response. From this, we conclude that any gains from aggregation - namely the reduction of small sample bias of the parameter estimates - would be swamped by the distortion of production response to policy changes, given the heterogeneity of the regions and the resultant bias.
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Bibliographic InfoPaper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2002 Annual meeting, July 28-31, Long Beach, CA with number 19585.
Date of creation: 2002
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- Coelli, Tim J., 1995.
"Recent Developments In Frontier Modelling And Efficiency Measurement,"
Australian Journal of Agricultural Economics,
Australian Agricultural and Resource Economics Society, vol. 39(03), December.
- Tim J. Coelli, 1995. "Recent Developments In Frontier Modelling And Efficiency Measurement," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 39(3), pages 219-245, December.
- Coelli, T. J., 1995. "Recent Developments in Frontier Modelling and Efficiency Measurement," 1995 Conference (39th), February 14-16, 1995, Perth, Australia 148798, Australian Agricultural and Resource Economics Society.
- John M. Antle & Susan M. Capalbo, 2001.
"Econometric-Process Models for Integrated Assessment of Agricultural Production Systems,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 83(2), pages 389-401.
- Antle, John M. & Capalbo, Susan M., 2000. "Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems," Trade Research Center Research Discussion Papers 29234, Montana State University, Department of Agricultural Economics and Economics.
- Sergio H. Lence & Douglas J. Miller, 1998.
"Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross-Entropy Approach,"
American Journal of Agricultural Economics,
Agricultural and Applied Economics Association, vol. 80(4), pages 852-867.
- Lence, Sergio H. & Miller, Douglas, 1998. "Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross Entropy Approach," Staff General Research Papers 1305, Iowa State University, Department of Economics.
- Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-49, August.
- Just, Richard E & Antle, John M, 1990. "Interactions between Agricultural and Environmental Policies: A Conceptual Framework," American Economic Review, American Economic Association, vol. 80(2), pages 197-202, May.
- Paris, Quirino & Caputo, Michael R., 2001. "Sensitivity Of The Gme Estimates To Support Bounds," Working Papers 11966, University of California, Davis, Department of Agricultural and Resource Economics.
- Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
- Alig, Ralph J. & Adams, Darius M. & McCarl, Bruce A., 1998. "Impacts Of Incorporating Land Exchanges Between Forestry And Agriculture In Sector Models," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 30(02), December.
- Lence, Sergio H & Miller, Douglas J, 1998.
"Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach,"
European Review of Agricultural Economics,
Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
- Miller, Douglas & Lence, Sergio H., 1998. "Estimation of Multi-Output Production Functions with Incomplete Data: A Generalized Maximum Entropy Approach," Staff General Research Papers 1219, Iowa State University, Department of Economics.
- H. Alan Love, 1999. "Conflicts between Theory and Practice in Production Economics," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 696-702.
- Golan, Amos & Judge, George & Perloff, Jeffrey M, 1996.
"Estimating the Size Distribution of Firms Using Government Summary Statistics,"
Journal of Industrial Economics,
Wiley Blackwell, vol. 44(1), pages 69-80, March.
- Golan, Amos & Judge, George G. & Perloff, Jeffrey M., 1995. "Estimating the size distribution of firms using government summary statistics," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt14b416tk, Department of Agricultural & Resource Economics, UC Berkeley.
- Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-71, September.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
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