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Autor
Vogt Martin (Trier University of Applied Sciences, Germany), Lahiri Partha (University of Maryland), Münnich Ralf (Trier University, Germany)
Tytuł
Spatial Prediction in Small Area Estimation
Źródło
Statistics in Transition, 2023, vol. 24, nr 3, s. 77-94, tab., wykr., bibliogr. 24 poz.
Słowa kluczowe
Modele statystyczne, Estymacja, Analiza przestrzenna
Statistical models, Estimation, Spatial analysis
Uwagi
summ.
Abstrakt
Small area estimation methods have become a widely used tool to provide accurate estimates for regional indicators such as poverty measures. Recent research has provided evidence that spatial modelling still can improve the precision of regional and local estimates. In this paper, we provide an intrinsic spatial autocorrelation model and prove the propriety of the posterior under a flat p rior. F urther, we show using the SAIPE poverty data that the gain in efficiency using a spatial model can be essentially important in the presence of a lack of strong auxiliary variables. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Pełny tekst
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Bibliografia
Pokaż
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  16. Petrucci, A. and Salvati, N., (2006). Small Area Estimation for Spatial Correlation inWatershed Erosion Assessment, Journal of Agricultural, Biological, and Environmental Statistics, 11, 2, 169-182.
  17. Petrucci, A. and Salvati, N., (2008). Small area estimation: the EBLUP estimator based on spatially correlated random area effects, Statistical Methods and Applications , 17, 113-141.
  18. Petrucci, A. and Salvati, N., (2009). Small Area Estimation in the Presence of Correlated Random Area Effects, Journal of Official Statistics, 25, 1, 37-53.
  19. Rao, J. N. K., (2003). Small Area Estimation, New York: John Wiley & Sons.
  20. Saei, A. and Chambers, R., (2005). Out of Sample Estimation for Small Areas using Area Level Data, Southampton Statistical Sciences Research Institute Methodology Working Paper M05/11.
  21. Singh, B. B., Shukla, G. K. and Kundu, D., (2005). Spatio-Temporal Models in Small Area Estimation, Survey Methodology, 31, 2, 183-195.
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  24. Vogt, M., (2010). Bayesian Spatial Modeling: Propriety and Applications to Small Area Estimation with Focus on the German Census 2011. PhD thesis, Universität Trier. DOI: 10.25353/ubtr-xxxx-2ba6-6f2e/.
Cytowane przez
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ISSN
1234-7655
Język
eng
URI / DOI
http://dx.doi.org/10.59170/stattrans-2023-037
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