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A NOte on the Importance of Testing for Regularities for Estimated Flexible Functional Forms

Author

Listed:
  • Salvanes, K.G.
  • Tjotta, S.

Abstract

In empirical productivity analysis it has become customary to use flexible functional forms to represent a firm's production technology by estimating cost functions. In this note we suggest a procedure to calculate the region where an estimated translog cost function meet the required regularities (positive cost, positive marginal cost, homogeneous, monotonicity and concavity in input prices). We calculate this region for the US Bell cost function as reported by Evans and Heckman (1984, 1986), and show that the estimated cost function had negative marginal cost in most of the test region.

Suggested Citation

  • Salvanes, K.G. & Tjotta, S., 1998. "A NOte on the Importance of Testing for Regularities for Estimated Flexible Functional Forms," Norway; Department of Economics, University of Bergen 177, Department of Economics, University of Bergen.
  • Handle: RePEc:fth:bereco:177
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    Citations

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    Cited by:

    1. Stephen Law & James Nolan, 2002. "Measuring the Impact of Regulation: A Study of Canadian Basic Cable Television," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 21(3), pages 231-249, November.
    2. Sverre Kittelsen & Benny Winsnes & Kjartan Anthun & Fanny Goude & Øyvind Hope & Unto Häkkinen & Birgitte Kalseth & Jannie Kilsmark & Emma Medin & Clas Rehnberg & Hanna Rättö, 2015. "Decomposing the productivity differences between hospitals in the Nordic countries," Journal of Productivity Analysis, Springer, vol. 43(3), pages 281-293, June.
    3. Sauer, J.F., 2005. "“Efficiency Flooding”: Black-Box Frontiers and Policy Implications," International Journal of Applied Econometrics and Quantitative Studies, Euro-American Association of Economic Development, vol. 2(1), pages 17-52.
    4. Hendrik Wolff & Thomas Heckelei & Ron Mittelhammer, 2010. "Imposing Curvature and Monotonicity on Flexible Functional Forms: An Efficient Regional Approach," Computational Economics, Springer;Society for Computational Economics, vol. 36(4), pages 309-339, December.
    5. Kjersti-Gro Lindquist & Terje Skjerpen, 2000. "Explaining the change in skill structure of labour demand in Norwegian manufacturing," Discussion Papers 293, Statistics Norway, Research Department.
    6. repec:sbe:breart:v:37:y:2017:i:2:a:47626 is not listed on IDEAS
    7. Carlo Perroni, 1999. "A Flexible, Globally Regular Representation of Convex Production Possibilities Frontiers," Journal of Productivity Analysis, Springer, vol. 12(2), pages 153-159, September.
    8. Yumei Liu & Wuyang Hu & Simon Jetté-Nantel & Zhihong Tian, 2014. "The Influence of Labor Price Change on Agricultural Machinery Usage in Chinese Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 62(2), pages 219-243, June.
    9. C. Charles Okeahalam, 2006. "Production Efficiency in the South African Banking Sector: A Stochastic Analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(1), pages 103-123.

    More about this item

    Keywords

    PRODUCTIVITY ; COSTS ; TESTING;

    JEL classification:

    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

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