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Using ex ante output elicitation to model state-contingent technologies

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  • Robert Chambers
  • Teresa Serra
  • Spiro Stefanou

Abstract

Survey-elicited ex ante outputs are used to develop an empirical representation of an Arrow–Debreu–Savage state-contingent technology in an activity-analysis framework. An empirical test of output-cubicality is developed for that framework. We apply those tools to assess production characteristics of a sample of Catalan farmers specialized in arable crops. Results suggest that imposing nonsubstitutability between ex ante outputs results in no significant loss of information. Even though the technology appears to be output cubical, efficiency measurements based on ex post output observations do not appear to adequately represent the stochastic production environment and apparently yield downward biased technical efficiency measures. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    • Handle: RePEc:kap:jproda:v:43:y:2015:i:1:p:75-83
    DOI: 10.1007/s11123-014-0385-z
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    Cited by:

    1. Sidhoum, Amer Ait & Serra, Teresa, 2018. "Measuring Sustainability Efficiency At Farm Level: A Data Envelopment Analysis Approach," 166th Seminar, August 30-31, 2018, Galway, West of Ireland 276184, European Association of Agricultural Economists.
    2. Yin, Pengzhen & Sun, Jiasen & Chu, Junfei & Liang, Liang, 2016. "Evaluating the environmental efficiency of a two-stage system with undesired outputs by a DEA approach: An interest preference perspectiveAuthor-Name: Wu, Jie," European Journal of Operational Research, Elsevier, vol. 254(3), pages 1047-1062.
    3. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    4. Amer Ait Sidhoum, 2023. "Measuring farm productivity under production uncertainty," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(4), pages 672-687, October.
    5. Bouali Guesmi & Ahmed Yangui & Ibtissem Taghouti & José Maria Gil, 2022. "Trade-Off between Land Use Pattern and Technical Efficiency Performance: Evidence from Arable Crop Farming in Tunisia," Land, MDPI, vol. 12(1), pages 1-13, December.

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    More about this item

    Keywords

    State-contingent production; Uncertainty; Inefficiency; Output cubicality; D21; D81; Q12;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets

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