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Aggregation Issues In The Estimation Of Malmquist Productivity Measures

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  • Shaik, Saleem

Abstract

The paper contributes by demonstrating the sensitivity of nonparametric programming productivity measures to the choice of model –time series versus panel models of Malmquist productivity, and to various levels of commodity aggregation compared to the traditional Tornqvist-Theil index approach employing U.S. state-level data from 1960-96. To illustrate the sensitive of nonparametric programming productivity measures, we compare the implicit shadow shares recovered from the dual values of the Malmquist productivity and total factor productivity methods to the observed shares of the Tornqvist-Theil index for U.S level data from 1948-1994.

Suggested Citation

  • Shaik, Saleem, 2009. "Aggregation Issues In The Estimation Of Malmquist Productivity Measures," 2009 Annual Meeting, January 31-February 3, 2009, Atlanta, Georgia 46553, Southern Agricultural Economics Association.
    • Handle: RePEc:ags:saeana:46553
    DOI: 10.22004/ag.econ.46553
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    References listed on IDEAS

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    1. Charles Blackorby & R. Russell, 1999. "Aggregation of Efficiency Indices," Journal of Productivity Analysis, Springer, vol. 12(1), pages 5-20, August.
    2. Forsund, F.R., 1990. "The Malmquist Productivity Index," Memorandum 28/1990, Oslo University, Department of Economics.
    3. Léopold Simar & Valentin Zelenyuk, 2007. "Statistical inference for aggregates of Farrell-type efficiencies," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(7), pages 1367-1394.
    4. Fare, Rolf & Zelenyuk, Valentin, 2003. "On aggregate Farrell efficiencies," European Journal of Operational Research, Elsevier, vol. 146(3), pages 615-620, May.
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    Productivity Analysis;

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