- Tytuł:
- A Comparison of Small Area Estimation Methods for Poverty Mapping
- Autorzy:
-
Guadarrama, María
Molina, Isabel
Rao, J. N. K. - Powiązania:
- https://bibliotekanauki.pl/articles/465671.pdf
- Data publikacji:
- 2016
- Wydawca:
- Główny Urząd Statystyczny
- Tematy:
-
area level model
non-linear parameters
empirical best estimator
hierarchical Bayes
poverty mapping
unit level models - Opis:
- We review main small area estimation methods for the estimation of general nonlinear parameters focusing on FGT family of poverty indicators introduced by Foster, Greer and Thorbecke (1984). In particular, we consider direct estimation, the Fay-Herriot area level model (Fay and Herriot, 1979), the method of Elbers, Lanjouw and Lanjouw (2003) used by the World Bank, the empirical Best/Bayes (EB) method of Molina and Rao (2010) and its extension, the Census EB, and finally the hierarchical Bayes proposal of Molina, Nandram and Rao (2014). We put ourselves in the point of view of a practitioner and discuss, as objectively as possible, the benefits and drawbacks of each method, illustrating some of them through simulation studies.
- Źródło:
-
Statistics in Transition new series; 2016, 17, 1; 41-66
1234-7655 - Pojawia się w:
- Statistics in Transition new series
- Dostawca treści:
- Biblioteka Nauki
Artykuł