Temat: hierarchical Bayes - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Economic Analysis of Charitable Donations
Autorzy:: Young Kang, Moon
Park, Byungho
Lee, Sanghak
Kim, Jaehwan
Allenby, Greg
Powiązania:: https://bibliotekanauki.pl/articles/540580.pdf
Data publikacji:: 2016
Wydawca:: Uniwersytet Warszawski. Wydawnictwo Naukowe Wydziału Zarządzania
Tematy:: direct utility model
hierarchical Bayes
altruism
non-profit marketing
Opis:: This paper examines the effect of message characteristics on donation behavior using an economic model of giving. The utility of giving can come from one’s own contribution and possibly from the combined contributions of others. Donors are assumed to be constrained utility maximizers, and the message attributes affect the degree to which they react altruistically or egoistically. The model is estimated with data from an incentive-aligned study of South Korean consumers, and implications for message optimization and donor targeting are explored.
Źródło:: Journal of Marketing and Consumer Behaviour in Emerging Markets; 2016, 2(4); 40-57
2449-6634
Pojawia się w:: Journal of Marketing and Consumer Behaviour in Emerging Markets
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

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

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