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Adaptive Truncated Estimaton Applied To Maximum Entropy

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  • Marsh, Thomas L.
  • Mittelhammer, Ronald C.

Abstract

An adaptive estimator is proposed to optimally estimate unknown truncation points of the error support space for the general linear model. The adaptive estimator is specified analytically to minimize a risk function based on the squared error loss measure. It is then empirically applied to a generalized maximum entropy estimator of the linear model using bootstrapping, allowing the information set of the model itself to determine the truncation points. Monte Carlo simulations are used to demonstrate performance of the adaptive entropy estimator relative to maximum entropy estimation coupled with alternative truncation rules and to ordinary least squares estimation. A food demand application is included to demonstrate practical implementation of the adaptive estimator.

Suggested Citation

  • Marsh, Thomas L. & Mittelhammer, Ronald C., 2001. "Adaptive Truncated Estimaton Applied To Maximum Entropy," 2001 Annual Meeting, July 8-11, 2001, Logan, Utah 36169, Western Agricultural Economics Association.
    • Handle: RePEc:ags:waealo:36169
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    References listed on IDEAS

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    1. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    2. Iain Fraser, 2000. "An application of maximum entropy estimation: the demand for meat in the United Kingdom," Applied Economics, Taylor & Francis Journals, vol. 32(1), pages 45-59.
    3. Guido W. Imbens & Richard H. Spady & Phillip Johnson, 1998. "Information Theoretic Approaches to Inference in Moment Condition Models," Econometrica, Econometric Society, vol. 66(2), pages 333-358, March.
    4. Koenker, Roger & Machado, José A.F. & Skeels, Christopher L. & Welsh, Alan H., 1994. "Momentary Lapses: Moment Expansions and the Robustness of Minimum Distance Estimation," Econometric Theory, Cambridge University Press, vol. 10(01), pages 172-197, March.
    5. Alice Nakamura & Masao Nakamura, 1983. "Part-Time and Full-Time Work Behaviour of Married Women: A Model with a Doubly Truncated Dependent Variable," Canadian Journal of Economics, Canadian Economics Association, vol. 16(2), pages 229-257, May.
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    Keywords

    Research Methods/ Statistical Methods;

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