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


Author Info

  • Àlex Costa
  • Albert Satorra


  • Eva Ventura



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.

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Bibliographic Info

Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 590.

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Date of creation: Dec 2001
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Handle: RePEc:upf:upfgen:590

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Related research

Keywords: Borrowing strength; empirical best linear unbiased prediction; mean square error; synthetic estimation;

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  1. 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, American Statistical Association, vol. 15(1), pages 101-8, January.
  2. Isaki, Cary T, 1990. "Small-Area Estimation of Economic Statistics," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 8(4), pages 435-41, October.
  3. 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, American Statistical Association, vol. 9(1), pages 73-84, January.
  4. 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, Universitat de Barcelona. Espai de Recerca en Economia 40, Universitat de Barcelona. Espai de Recerca en Economia.
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