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Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross-Entropy Approach

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  • Sergio H. Lence
  • Douglas J. Miller

Abstract

For multiproduct firms, data on aggregate input usage are typically available but data on activity-specific inputs are not. The present study proposes a generalized cross-entropy approach to estimate activity-specific input allocations that are consistent with the aggregate information. The proposed method does not require behavioral assumptions (e.g., profit maximization) but does accommodate behavioral restrictions as well as nonsample information about the plausible factor shares across enterprises. Monte Carlo experiments using simulated data for multifactor-multiproduct firms are used to evaluate the performance of the proposed method. Copyright 1998, Oxford University Press.

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  • 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.
  • Handle: RePEc:oup:ajagec:v:80:y:1998:i:4:p:852-867
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    1. Jeongwen Chiang, 1991. "A Simultaneous Approach to the Whether, What and How Much to Buy Questions," Marketing Science, INFORMS, vol. 10(4), pages 297-315.
    2. Wujin Chu & Woosik Chu, 1994. "Signaling Quality by Selling Through a Reputable Retailer: An Example of Renting the Reputation of Another Agent," Marketing Science, INFORMS, vol. 13(2), pages 177-189.
    3. Gary D. Thompson & Julia Kidwell, 1998. "Explaining the Choice of Organic Produce: Cosmetic Defects, Prices, and Consumer Preferences," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(2), pages 277-287.
    4. Greg M. Allenby & Peter E. Rossi, 1991. "Quality Perceptions and Asymmetric Switching Between Brands," Marketing Science, INFORMS, vol. 10(3), pages 185-204.
    5. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    6. Mathios, Alan D, 2000. "The Impact of Mandatory Disclosure Laws on Product Choices: An Analysis of the Salad Dressing Market," Journal of Law and Economics, University of Chicago Press, vol. 43(2), pages 651-677, October.
    7. Kirthi Kalyanam & Daniel S. Putler, 1997. "Incorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework," Marketing Science, INFORMS, pages 166-181.
    8. Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
    9. Heiman, Amir & McWilliams, Bruce & Zilberman, David, 2001. "Demonstrations and money-back guarantees: market mechanisms to reduce uncertainty," Journal of Business Research, Elsevier, vol. 54(1), pages 71-84, October.
    10. David Buschena & Vincent Smith, 2005. "Do Voluntary Biotechnology Labels Matter to the Consumer? Evidence from the Fluid Milk Market," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 87(2), pages 378-392.
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    1. Tack, Jesse, 2013. "A Nested Test for Common Yield Distributions with Applications to U.S. Corn," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 38(1), April.
    2. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), INRA (French National Institute for Agricultural Research), vol. 57.
    3. Lips, Markus, 2014. "Disproportionate joint cost allocation at individual-farm level using maximum entropy," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182851, European Association of Agricultural Economists.
    4. 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.
    5. Howitt, Richard E. & Msangi, Siwa, 2002. "Reconstructing Disaggregate Production Functions," 2002 Annual meeting, July 28-31, Long Beach, CA 19585, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. Rui Fragoso & Maria Leonor da Silva Carvalho, 2013. "Estimation of cost allocation coefficients at the farm level using an entropy approach," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(9), pages 1893-1906, September.
    7. Bert D'Espallier & Sigrid Vandemaele & Ludo Peeters, 2008. "Investment-Cash Flow Sensitivities or Cash-Cash Flow Sensitivities? An Evaluative Framework for Measures of Financial Constraints," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(7-8), pages 943-968.
    8. Heckelei, Thomas & Wolff, Hendrik, 2002. "A Methodological Note on the Estimation of Programming Models," 2002 International Congress, August 28-31, 2002, Zaragoza, Spain 24896, European Association of Agricultural Economists.
    9. Msangi, Siwa & Howitt, Richard E., 2006. "Estimating Disaggregate Production Functions: An Application to Northern Mexico," 2006 Annual meeting, July 23-26, Long Beach, CA 21080, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Heckelei, T. & Wolff, H., 2002. "Ansätze zur (Auf-)Lösung eines alten Methodenstreits: Ökonometrische Spezifikation von Programmierungsmodellen zur Agrarangebotsanalyse," Proceedings "Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.", German Association of Agricultural Economists (GEWISOLA), vol. 37.
    11. Wikstrom, Daniel & Peeters, Ludo & Surry, Yves R., 2011. "Semiparametric Cost Allocation Estimation," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115742, European Association of Agricultural Economists.
    12. Hansen, Heiko & Surry, Yves R., 2006. "Die Schatzung Verfahrensspezifischer Faktoreinsatzmengen Fur Die Landwirtschaft In Deutschland," 46th Annual Conference, Giessen, Germany, October 4-6, 2006 14959, German Association of Agricultural Economists (GEWISOLA).
    13. Akpalu, Wisdom & Hassan, Rashid M. & Ringler, Claudia, 2008. "Climate variability and maize yield in South Africa: Results from GME and MELE methods," IFPRI discussion papers 843, International Food Policy Research Institute (IFPRI).

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