Small Area Estimation of Poverty Under Structural Change-Reference-Cited by-同舟云学术

Small Area Estimation of Poverty Under Structural Change

Published:2021-11-17 Issue: Volume: Page:
ISSN:0034-6586
Container-title:Review of Income and Wealth
language:en
Short-container-title:Review of Income and Wealth

Author:

Lange Simon¹,Pape Utz Johann²³,Pütz Peter³

Affiliation:

1. OECD Development Co‐operation Directorate

2. World Bank

3. University of Göttingen

Publisher

Wiley

Subject

Economics and Econometrics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/roiw.12558

Reference29 articles.

1. Ahmad N. F.Ahmed D. M.Jolliffe M. A.Khan M. A.Mahbub lSharif V.Swaroop N.Yoshida S.Zaidi andJ. C.Zutt “Poverty Maps of Bangladesh 2010 ”2010. Available fromhttp://documents.worldbank.org/curated/en/160611468014459434/Technical‐report accessed on 10 September 2021.

2. Poverty and Social Exclusion

3. Robust Mean‐Squared Error Estimation for Poverty Estimates Based on the Method of Elbers, Lanjouw and Lanjouw;Das S.;Journal of the Royal Statistical Society Series A: Statistics in Society,2017

4. A Comparison of Methods for Poverty Estimation in Developing Countries;Das S.;International Statistical Review,2019

5. Elbers C. andR.van der Weide “Estimation of Normal Mixtures in a Nested Error Model with an Application to Small Area Estimation of Poverty and Inequality.” World Bank Policy Research Working Paper No. 6962 The World Bank 2014.

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