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Volumn 6, Issue 3, 2012, Pages 155-163

Robust small area estimation and oversampling in the estimation of poverty indicators

Author keywords

M quantile models; Oversample; Poverty mapping

Indexed keywords


EID: 84883617911     PISSN: None     EISSN: 18643361     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (19)
  • 1
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    • On biasrobust mean squared error estimation for pseudo-linear small area estimators
    • (in press)
    • Chambers, R. L., Chandra, H., & Tzavidis, N. (2012). On biasrobust mean squared error estimation for pseudo-linear small area estimators. Survey Methodology. (in press)
    • (2012) Survey Methodology.
    • Chambers, R.L.1    Chandra, H.2    Tzavidis, N.3
  • 2
    • 0001665729 scopus 로고    scopus 로고
    • Estimating distribution functions from survey data
    • Chambers, R. L., & Dunstan, R. (1996). Estimating distribution functions from survey data. Biometrika, 73, 597-604.
    • (1996) Biometrika , vol.73 , pp. 597-604
    • Chambers, R.L.1    Dunstan, R.2
  • 3
    • 33745614046 scopus 로고    scopus 로고
    • M-quantile models for small area estimation
    • Chambers, R. L., & Tzavidis, N. (2006). M-quantile models for small area estimation. Biometrika, 93, 255-268.
    • (2006) Biometrika , vol.93 , pp. 255-268
    • Chambers, R.L.1    Tzavidis, N.2
  • 4
    • 0010328443 scopus 로고
    • A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty
    • Cheli, B., & Lemmi, A. (1995). A Totally Fuzzy and Relative Approach to the Multidimensional Analysis of Poverty. Economic Notes, 24, 115-134.
    • (1995) Economic Notes , vol.24 , pp. 115-134
    • Cheli, B.1    Lemmi, A.2
  • 5
    • 0037278794 scopus 로고    scopus 로고
    • Micro-level estimation of poverty and inequality
    • Elbers, C., Lanjouw, J. O., & Lanjouw, P. (2003). Micro-level estimation of poverty and inequality. Econometrica, 71, 355-364.
    • (2003) Econometrica , vol.71 , pp. 355-364
    • Elbers, C.1    Lanjouw, J.O.2    Lanjouw, P.3
  • 7
    • 0001194654 scopus 로고
    • A class of decomposable poverty measures
    • Foster, J., Greer, J., & Thorbecke, E. (1984). A class of decomposable poverty measures. Econometrica, 52, 761-766.
    • (1984) Econometrica , vol.52 , pp. 761-766
    • Foster, J.1    Greer, J.2    Thorbecke, E.3
  • 8
    • 0000017135 scopus 로고
    • Regression Analysis for Sample Survey
    • Fuller, W. A. (1975). Regression Analysis for Sample Survey. Sankhya, 37(3), 117-132.
    • (1975) Sankhya , vol.37 , Issue.3 , pp. 117-132
    • Fuller, W.A.1
  • 10
    • 84861492593 scopus 로고    scopus 로고
    • Non-parametric bootstrap mean squared error Estimation for M-quantile Estimators of Small Area Averages, Quantiles and Poverty Indicators
    • Marchetti, S., Tzavidis, N., & Pratesi, M. (2012). Non-parametric bootstrap mean squared error Estimation for M-quantile Estimators of Small Area Averages, Quantiles and Poverty Indicators. Computional Statistics & Data Analysis, 56(10), 2889-2902.
    • (2012) Computional Statistics & Data Analysis , vol.56 , Issue.10 , pp. 2889-2902
    • Marchetti, S.1    Tzavidis, N.2    Pratesi, M.3
  • 11
    • 77956646583 scopus 로고    scopus 로고
    • Small Area Estimation of Poverty Indicators
    • Molina, I., & Rao, J. N. K. (2010). Small Area Estimation of Poverty Indicators. Canadian Journal of Statistics, 38, 369-385.
    • (2010) Canadian Journal of Statistics , vol.38 , pp. 369-385
    • Molina, I.1    Rao, J.N.K.2
  • 12
    • 84990310142 scopus 로고    scopus 로고
    • Small Area Estimation of Poverty Indicators
    • (to appear). In C. Davino & L. Fabbris (Eds.), Heidelberg: Springer
    • Pratesi, M., Giusti, C., & Marchetti, S. (to appear). Small Area Estimation of Poverty Indicators. In C. Davino & L. Fabbris (Eds.), Survey data collection and integration. Heidelberg: Springer.
    • Survey data collection and integration.
    • Pratesi, M.1    Giusti, C.2    Marchetti, S.3
  • 19
    • 0000787351 scopus 로고
    • A Simple Method for Approximating the Variance of a Complicated Estimate
    • Woodruff, R. S. (1971). A Simple Method for Approximating the Variance of a Complicated Estimate. Journal of the American Statistical Association, 66(334), 411-414.
    • (1971) Journal of the American Statistical Association , vol.66 , Issue.334 , pp. 411-414
    • Woodruff, R.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.