Arbeitspapier

Advancing small area estimation

The poverty mapping methodology for estimating welfare rankings from small areas has proven to be useful in guiding allocation of government funds, regional planning, and general policy formulation. Nevertheless, poverty mapping also suffers from a series of by now well recognized shortcomings. We apply an approach based on first order dominance (FOD) to small area estimation. Five advantages to the FOD approach are highlighted. First, it can serve as a complement to, substitute for, and/or extension of the poverty mapping methodology. Second, it directly uses census data with a minimum of assumptions imposed. Third, the methodology is straightforward to implement and the concepts are intuitive. Fourth, the FOD approach is multi-dimensional allowing for a broader conception of poverty. Finally, FOD indicators can be chosen that relate directly to public expenditure priorities We apply the approach to census data from Mozambique for 1997 and 2007 and compare results with the poverty mapping methodology. We conclude that the FOD approach is well suited to small area estimation.

ISBN
978-92-9230-630-4
Sprache
Englisch

Erschienen in
Series: WIDER Working Paper ; No. 2013/053

Klassifikation
Wirtschaft
Statistical Simulation Methods: General
Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
Measurement and Analysis of Poverty
Thema
small area estimation
welfare
poverty mapping
multidimensional poverty measurement
first order dominance
Mozambique
Armut
Messung
Statistische Methode

Ereignis
Geistige Schöpfung
(wer)
Arndt, Channing
Hussain, M. Azhar
Salvucci, Vincenzo
Tarp, Finn
Østerdal, Lars P.
Ereignis
Veröffentlichung
(wer)
The United Nations University World Institute for Development Economics Research (UNU-WIDER)
(wo)
Helsinki
(wann)
2013

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

  • Arbeitspapier

Beteiligte

  • Arndt, Channing
  • Hussain, M. Azhar
  • Salvucci, Vincenzo
  • Tarp, Finn
  • Østerdal, Lars P.
  • The United Nations University World Institute for Development Economics Research (UNU-WIDER)

Entstanden

  • 2013

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