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The Spatial Fay-Herriot Model in Poverty Estimation

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Bivand, R.S., Pebesma, E.J., Gómez-Rubio, V. (2008). Applied Spatial Data Analysis with R. USA: Springer.Search in Google Scholar

Central Statistical Office. (2012). Incomes and living conditions of the population in Poland (report from the EU-SILC survey of 2011). Warsaw: Statistical Publishing Establishment.Search in Google Scholar

Central Statistical Office. (2014). Poverty maps at subregional level in Poland based on indirect estimation. Poznań.Search in Google Scholar

Central Statistical Office. (2015). Ubóstwo w Polsce w latach 2013 i 2014. Warszawa: GUS.Search in Google Scholar

Dehnel, G. (2003). Statystyka małych obszarów jako narzędzie oceny rozwoju ekonomicznego regionów. Poznań: University of Economics Publishing Establishment.Search in Google Scholar

Drewnowski, J. (1977). Poverty: its meaning and measurement. Development and Change, 8, 183–208. DOI: 10.1111/j.1467-7660.1977.tb00736.x.10.1111/j.1467-7660.1977.tb00736.xSearch in Google Scholar

EEC (1985). On Specific Community Action to Combat Poverty (Council Decision of 19 December 1984), 85/8/EEC, Official Journal of the EEC, 2/24.Search in Google Scholar

Fay, R.E., Herriot, R.A. (1979). Estimates of income for small places: an application of James-Stein procedures to census data. Journal of the American Statistical Association, 74, 269–277. DOI: 10.1080/01621459.1979.10482505.10.1080/01621459.1979.10482505Search in Google Scholar

Foster, J., Greer, J., Thornbecke, E. (1984). A Class of Decomposable Poverty Measures. Econometrica, 52 (3), 761–766. DOI: 10.2307/1913475.10.2307/1913475Search in Google Scholar

Guadarrama, M., Molina, I., Rao, J.N.K. (2016). A comparison of small area estimation methods for poverty mapping. Statistics in Transition new series and Survey Methodology, Joint Issue: Small Area Estimation 2014, 17 (1), 41–66.10.21307/stattrans-2016-005Search in Google Scholar

Horvitz, D.G., Thompson, D.J. (1952). A Generalization of Sampling Without Replacement From a Finite Universe. Journal of the American Statistical Association, 47 (260), 663–685. DOI: 10.2307/2280784.10.2307/2280784Search in Google Scholar

Molina, I., Rao, J.N.K. (2010). Small area estimation of poverty indicators. Canadian Journal of Statistics, 38 (3), 369–385. DOI: 10.1002/cjs.10051.10.1002/cjs.10051Search in Google Scholar

Panek, T. (2011). Ubóstwo, wykluczenie społeczne i nierówności. Teoria i praktyka pomiaru. Warszawa: Oficyna Wydawnicza SGH.Search in Google Scholar

Pratesi, M., Salvati, N. (2008). Small area estimation: the EBLUP estimator based on spatially correlated random area effects. Statistical Methods and Applications, 17 (1), 113–141. DOI: 10.1007/s10260-007-0061-9.10.1007/s10260-007-0061-9Search in Google Scholar

Pratesi, M. (ed.) (2010). Final small area estimation developments and simulation results. Small Area Methods for Poverty and Living Conditions Estimates Project.Search in Google Scholar

Rao, J.N.K., Molina, I. (2015). Small Area Estimation. Canada: Wiley & Sons.10.1002/9781118735855Search in Google Scholar

Sen, A. (1992). Inequality reexamined. Cambridge: Harvard University Press.Search in Google Scholar

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Business and Economics, Political Economics, other