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Cross-Entropy Estimation of Linear Cointegrated Equations

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  • Balcombe, Kelvin

Abstract

The cross-entropy approach is extended to the estimation of cointegrated equations. The entropy estimators for an appropriately constructed moment form, are asymptotically equivalent to Fully Modi�ed estimators since they converge to these estimates su¢ ciently quickly. The performance of the entropy estimators are examined by using some Monte Carlo trials, and in an applied example for the estimation of a production function for South African agriculture.

Suggested Citation

  • Balcombe, Kelvin, 2006. "Cross-Entropy Estimation of Linear Cointegrated Equations," MPRA Paper 15100, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:15100
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    References listed on IDEAS

    as
    1. Paris, Quirino, 2001. "Mele: Maximum Entropy Leuven Estimators," Working Papers 11991, University of California, Davis, Department of Agricultural and Resource Economics.
    2. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
    3. Golan, Amos & Perloff, Jeffrey M., 2002. "Comparison of maximum entropy and higher-order entropy estimators," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 195-211, March.
    4. Harmon, Alice & Preckel, Paul V. & Eales, James S., 1998. "Entropy-Based Seemingly Unrelated Regression," Staff Papers 28682, Purdue University, Department of Agricultural Economics.
    5. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(1), pages 99-125.
    6. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    7. Xiao, Zhijie & Phillips, Peter C. B., 2002. "Higher order approximations for Wald statistics in time series regressions with integrated processes," Journal of Econometrics, Elsevier, vol. 108(1), pages 157-198, May.
    8. Golan, Amos, 2002. "Information and Entropy Econometrics--Editor's View," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 1-15, March.
    9. Marsh, Thomas L. & Mittelhammer, Ronald C. & Cardell, N. Scott, 1998. "A Structural-Equation Gme Estimator," 1998 Annual meeting, August 2-5, Salt Lake City, UT 20890, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Golan, Amos & Judge, George & Perloff, Jeffrey, 1997. "Estimation and inference with censored and ordered multinomial response data," Journal of Econometrics, Elsevier, vol. 79(1), pages 23-51, July.
    11. Paul V. Preckel, 2001. "Least Squares and Entropy: A Penalty Function Perspective," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 366-377.
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    More about this item

    Keywords

    Entropy; Fully Modified; Cointegration;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

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