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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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Author Info
Àlex Costa
Albert Satorra ()
Eva Ventura ()

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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.

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File URL: http://www.econ.upf.edu/docs/papers/downloads/590.pdf
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Publisher 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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Web page: http://www.econ.upf.edu/

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

Find related papers by 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

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. [Downloadable!]
  2. 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.
  3. Isaki, Cary T, 1990. "Small-Area Estimation of Economic Statistics," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(4), pages 435-41, October.
  4. 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 101-8, January.
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Statistics
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This page was last updated on 2009-12-25.

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