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Measuring dynamic efficiency under uncertainty

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  • Huettel, Silke
  • Narayana, Rashmi
  • Odening, Martin

Abstract

In this paper we develop a theoretical model that links dynamic efficiency measurement and optimal investment under uncertainty. It is widely acknowledged that uncertainty has an impact on the optimal factor use of a profit maximizing firm. This is particularly true for the optimal adjustment of the firm’s capital stock. While uncertainty has been considered in the static efficiency measurement literature it has been ignored so far in the context of dynamic efficiency measurement. This paper targets at closing this gap. For that purpose we take up a dynamic efficiency model which embeds a stochastic intertemporal duality model into a shadow cost framework and allows for measuring technical and allocative inefficiency. We derive hypotheses on how uncertainty affects the measurement of efficiency. The factor demand equations, which we derive, may serve as a starting point for an empirical validation of these hypotheses.

Suggested Citation

  • Huettel, Silke & Narayana, Rashmi & Odening, Martin, 2011. "Measuring dynamic efficiency under uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 129062, Humboldt University Berlin, Department of Agricultural Economics.
    • Handle: RePEc:ags:huscpw:129062
    DOI: 10.22004/ag.econ.129062
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    1. Pierre Ouellette & Li Yan, 2008. "Investment and dynamic DEA," Journal of Productivity Analysis, Springer, vol. 29(3), pages 235-247, June.
    2. Christopher O’Donnell & Robert Chambers & John Quiggin, 2010. "Efficiency analysis in the presence of uncertainty," Journal of Productivity Analysis, Springer, vol. 33(1), pages 1-17, February.
    3. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    4. Lau, Lawrence J & Yotopoulos, Pan A, 1971. "A Test for Relative Efficiency and Application to Indian Agriculture," American Economic Review, American Economic Association, vol. 61(1), pages 94-109, March.
    5. Atkinson, Scott E & Cornwell, Christopher, 1994. "Parametric Estimation of Technical and Allocative Inefficiency with Panel Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 35(1), pages 231-243, February.
    6. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    7. Nauges, Celine & O'Donnell, Christopher J. & Quiggin, John C., 2009. "Uncertainty and technical efficiency in Finnish Agriculture," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48062, Australian Agricultural and Resource Economics Society.
    8. Abel, Andrew B & Eberly, Janice C, 1994. "A Unified Model of Investment under Uncertainty," American Economic Review, American Economic Association, vol. 84(5), pages 1369-1384, December.
    9. Rungsuriyawiboon, Supawat & Stefanou, Spiro E., 2007. "Dynamic Efficiency Estimation: An Application to U.S. Electric Utilities," Journal of Business & Economic Statistics, American Statistical Association, vol. 25, pages 226-238, April.
    10. Demsetz, Harold, 1973. "Industry Structure, Market Rivalry, and Public Policy," Journal of Law and Economics, University of Chicago Press, vol. 16(1), pages 1-9, April.
    11. Robert G. Chambers & John Quiggin, 2002. "The State-Contingent Properties of Stochastic Production Functions," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(2), pages 513-526.
    12. Caudill, Steven B. & Ford, Jon M., 1993. "Biases in frontier estimation due to heteroscedasticity," Economics Letters, Elsevier, vol. 41(1), pages 17-20.
    13. Oude Lansink, Alfons G.J.M. & Silva, Elvira, 2006. "Dynamic Efficiency Analysis using a Directional Distance Function," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25771, International Association of Agricultural Economists.
    14. Gardebroek, Cornelis & Oude Lansink, Alfons G.J.M., 2008. "Dynamic Microeconometric Approaches To Analysing Agricultural Policy," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6592, European Association of Agricultural Economists.
    15. Sandri, Serena & Schade, Christian & Mußhoff, Oliver & Odening, Martin, 2010. "Holding on for too long? An experimental study on inertia in entrepreneurs' and non-entrepreneurs' disinvestment choices," Journal of Economic Behavior & Organization, Elsevier, vol. 76(1), pages 30-44, October.
    16. Kumbhakar, Sabul C., 1993. "Production risk, technical efficiency, and panel data," Economics Letters, Elsevier, vol. 41(1), pages 11-16.
    17. Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
    18. G. Battese & A. Rambaldi & G. Wan, 1997. "A Stochastic Frontier Production Function with Flexible Risk Properties," Journal of Productivity Analysis, Springer, vol. 8(3), pages 269-280, August.
    19. Elvira Silva & Spiro E. Stefanou, 2007. "Dynamic Efficiency Measurement: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(2), pages 398-419.
    20. Jan Hinrichs & Oliver Musshoff & Martin Odening, 2008. "Economic hysteresis in hog production," Applied Economics, Taylor & Francis Journals, vol. 40(3), pages 333-340.
    21. Daniel S. Hamermesh & Gerard A. Pfann, 1996. "Adjustment Costs in Factor Demand," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1264-1292, September.
    22. Jean-Paul Chavas, 2008. "On the economics of agricultural production ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(4), pages 365-380, December.
    23. Jean-Paul Chavas, 2008. "A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 435-466.
    24. Kyösti S. Pietola & Robert J. Myers, 2000. "Investment under Uncertainty and Dynamic Adjustment in the Finnish Pork Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 956-967.
    25. Kumbhakar, Subal C., 1990. "Production frontiers, panel data, and time-varying technical inefficiency," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 201-211.
    26. Hung-Jen Wang, 2002. "Heteroscedasticity and Non-Monotonic Efficiency Effects of a Stochastic Frontier Model," Journal of Productivity Analysis, Springer, vol. 18(3), pages 241-253, November.
    27. Elvira Silva & Spiro Stefanou, 2003. "Nonparametric Dynamic Production Analysis and the Theory of Cost," Journal of Productivity Analysis, Springer, vol. 19(1), pages 5-32, January.
    28. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    29. Larry G. Epstein, 1981. "Duality Theory and Functional Forms for Dynamic Factor Demands," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 48(1), pages 81-95.
    30. Nemoto, Jiro & Goto, Mika, 1999. "Dynamic data envelopment analysis: modeling intertemporal behavior of a firm in the presence of productive inefficiencies," Economics Letters, Elsevier, vol. 64(1), pages 51-56, July.
    31. Ellen Goddard & Alfons Weersink & Kevin Chen & Calum G. Turvey, 1993. "Economics of Structural Change in Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 41(4), pages 475-489, December.
    32. Epstein, Larry G & Denny, Michael G S, 1983. "The Multivariate Flexible Accelerator Model: Its Empirical Restrictions and an Application to U.S. Manufacturing," Econometrica, Econometric Society, vol. 51(3), pages 647-674, May.
    33. Stefanou, Spiro E., 1989. "Learning, experience, and firm size," Journal of Economics and Business, Elsevier, vol. 41(4), pages 283-296, November.
    34. Roberto Mosheim & C.A. Knox Lovell, 2007. "Scale Economies and Inefficiency of U.S. Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 777-794.
    35. OW Maietta, 2000. "The decomposition of cost inefficiency into technical and allocative components with panel data of Italian dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(4), pages 473-495, December.
    36. Kumbhakar,Subal C. & Lovell,C. A. Knox, 2003. "Stochastic Frontier Analysis," Cambridge Books, Cambridge University Press, number 9780521666633.
    37. Silke Hüttel & Oliver Mußhoff & Martin Odening, 2010. "Investment reluctance: irreversibility or imperfect capital markets?," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 37(1), pages 51-76, March.
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    Cited by:

    1. Supawat Rungsuriyawiboon & Heinrich Hockmann, 2015. "Adjustment costs and efficiency in Polish agriculture: a dynamic efficiency approach," Journal of Productivity Analysis, Springer, vol. 44(1), pages 51-68, August.
    2. Joselyne Najera & Paula Arzadun & Monica Navarro & Martin Solis, 2018. "High-Quality Input Choice under Uncertainty and Ambiguity: An Exploratory Study of Costa Rica's Coffee Sector," Journal of Economics and Behavioral Studies, AMH International, vol. 10(5), pages 156-166.
    3. Pieralli, Simone & Hüttel, Silke & Odening, Martin, 2013. "A model of firm exit under inefficiency and uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 155700, Humboldt University Berlin, Department of Agricultural Economics.
    4. Wagner, Christina & Huttel, Silke & Odening, Martin, 2012. "Dynamic Efficiency Under Uncertainty: An Application To German Dairy Farms," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 133826, German Association of Agricultural Economists (GEWISOLA).

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