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Empirical Analysis of Poverty Dynamics With Case Studies from Sub-Saharan Africa

Author: Isabel Günther
Publisher: Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften 2018, ©2008.
Dissertation: Thesis (Doctoral).
Series: Free online access: JSTOR.
Edition/Format:   Thesis/dissertation : Document : Thesis/dissertation : eBook   Computer File : English : 1st, New edView all editions and formats
Summary:
The empirical analysis of poverty over time is still severely constrained by the available survey data in developing countries. In the past, this has led to a neglect of certain aspects of poverty dynamics or even biased assessments of poverty dynamics. This book explicitly takes into account the present data limitations, proposing alternative methods for the empirical analysis of poverty dynamics. The work  Read more...
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Genre/Form: Academic theses
Electronic books
Additional Physical Format: Print version:
Material Type: Document, Thesis/dissertation, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Isabel Günther
ISBN: 9783631753590 3631753594
OCLC Number: 1080489605
Description: 1 online resource.
Contents: Poverty Dynamics --
Poverty --
Pro-Poor Growth --
Vulnerability --
Analysis of Household Survey Data --
Informal Labor Markets --
Competitive and Segmented Labor Markets --
Inflation Inequality --
Idiosyncratic and Covariate Shocks --
Multi-Level Modelling --
Finite Mixture Models --
Sub-Saharan Africa.
Series Title: Free online access: JSTOR.
Responsibility: Isabel Günther.

Abstract:

The empirical analysis of poverty over time is still severely constrained by the available survey data in developing countries. In the past, this has led to a neglect of certain aspects of poverty dynamics or even biased assessments of poverty dynamics. This book explicitly takes into account the present data limitations, proposing alternative methods for the empirical analysis of poverty dynamics. The work addresses both the problems related to limited data in the analysis of macro-level (or national) as well as micro-level (or household) poverty dynamics. The proposed methods are applied to survey data from various sub-Saharan African countries. As these countries do not only have the most limited economic survey data but also show the highest poverty rates in the world an accurate understanding of the underlying poverty dynamics seems to be most important for these countries.

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