Konferenzbeitrag

How to prioritise policies for poverty reduction: Applying Bayesian Model Averaging to Vietnam

The UN Millennium Development Goals have recognized poverty reduction as the main goal of global development policy. A comprehensive framework to evaluate the effectiveness of single policy measures and policy packages with respect to poverty reduction is still lacking, though. Policy evaluation is exposed to manifold uncertainties given the dependency of the preferred outcomes on a chosen policy, available information, and policy makers' preferences. We show that Bayesian Model Averaging (BMA) is most valuable in this context as it addresses the parameter and model uncertainty inherent in development policies. Using data for the 61 Vietnamese provinces we are able to ascertain the most important determinants of poverty from a large number of potential explanatory variables.

Sprache
Englisch

Erschienen in
Series: Proceedings of the German Development Economics Conference, Kiel 2005 ; No. 27

Klassifikation
Wirtschaft
Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
Bayesian Analysis: General
Model Evaluation, Validation, and Selection
Economic Development: Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
Economywide Country Studies: Asia including Middle East
Thema
Poverty determinants
Vietnam
model uncertainty
Bayesian Model Averaging (BMA)

Ereignis
Geistige Schöpfung
(wer)
Klump, Rainer
Prüfer, Patricia
Ereignis
Veröffentlichung
(wer)
Verein für Socialpolitik, Ausschuss für Entwicklungsländer
(wo)
Hannover
(wann)
2005

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Klump, Rainer
  • Prüfer, Patricia
  • Verein für Socialpolitik, Ausschuss für Entwicklungsländer

Entstanden

  • 2005

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