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Estimadores compuestos en estadística regional: aplicación para la tasa de variación de la ocupación en la industria

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Abstract

This work is part of a project studying the performance of model based estimators in a small area context. We have chosen a simple statistical application in which we estimate the growth rate of accupation for several regions of Spain. We compare three estimators: the direct one based on straightforward results from the survey (which is unbiassed), and a third one which is based in a statistical model and that minimizes the mean square error.

Suggested Citation

  • Àlex Costa & Albert Satorra & Eva Ventura, 2001. "Estimadores compuestos en estadística regional: aplicación para la tasa de variación de la ocupación en la industria," Economics Working Papers 590, Department of Economics and Business, Universitat Pompeu Fabra.
    • Handle: RePEc:upf:upfgen:590
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    References listed on IDEAS

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    1. Miguel Juan Clar Lopez & Raul Ramos Lobo & Jordi Surinach Caralt, 1998. "Algunes reflexions sobre la construccio d'indicadors indirectes pel seguiment de l'activitat industrial regional," Working Papers in Economics 40, Universitat de Barcelona. Espai de Recerca en Economia.
    2. Farrell, Patrick J & MacGibbon, Brenda & Tomberlin, Thomas J, 1997. "Empirical Bayes Small-Area Estimation Using Logistic Regression Models and Summary Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 101-108, January.
    3. Isaki, Cary T, 1990. "Small-Area Estimation of Economic Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 435-441, October.
    4. Pfeffermann, Danny & Barnard, Charles H, 1991. "Some New Estimators for Small-Area Means with Application to the Assessment of Farmland Values," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(1), pages 73-84, January.
    5. N. T. Longford, 1999. "Multivariate shrinkage estimation of small area means and proportions," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(2), pages 227-245.
    6. A. C. Singh & D. M. Stukel & D. Pfeffermann, 1998. "Bayesian versus frequentist measures of error in small area estimation," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 60(2), pages 377-396.
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    More about this item

    Keywords

    Borrowing strength; empirical best linear unbiased prediction; mean square error; synthetic estimation;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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