Estimadores compuestos en estadística regional: aplicación para la tasa de variación de la ocupación en la industria
AbstractThis 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 InfoPaper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 590.
Date of creation: Dec 2001
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Web page: http://www.econ.upf.edu/
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
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- 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.
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- 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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