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Small-Area Estimation of Economic Statistics

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  • Isaki, Cary T

Abstract

A ratio-correlation (multiple regression) approach for estimating key economic statistics for small areas is proposed and compared with several synthetic estimation methods using various measures of performance. Using published data that are easily accessible, the methods provide a means of estimating statics not currently published with a reasonable amount of error.

Suggested Citation

  • 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.
    • Handle: RePEc:bes:jnlbes:v:8:y:1990:i:4:p:435-41
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    Cited by:

    1. Hentschel, Jesko & Lanjouw, Jean Olson & Lanjouw, Peter & Poggi, Javier, 1998. "Combining census and survey data to study spatial dimensions of poverty," Policy Research Working Paper Series 1928, The World Bank.
    2. Alex Costa & Albert Satorra & Eva Ventura, 2003. "An Empirical Evaluation of Five Small Area Estimators," General Economics and Teaching 0312003, University Library of Munich, Germany.
    3. Àlex Costa & Albert Satorra & Eva Ventura, 2003. "An empirical evaluation of small area estimators," Economics Working Papers 674, Department of Economics and Business, Universitat Pompeu Fabra, revised Jun 2003.
    4. 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.
    5. Àlex Costa & Albert Satorra & Eva Ventura, 2003. "Using composite estimators to improve both domain and total area estimation," Economics Working Papers 731, Department of Economics and Business, Universitat Pompeu Fabra.

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