NDLI: Does it pay to be poor? Testing for systematically underreported GNI estimates

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Does it pay to be poor? Testing for systematically underreported GNI estimates

Content Provider	Springer Nature Link
Author	Kerner, Andrew Jerven, Morten Beatty, Alison
Copyright Year	2015
Abstract	Coordinating aid distribution to the poorest countries requires identifying which countries are poor. In practice this has meant sorting countries into developmental cohorts on the basis of macroeconomic data, with countries in poorer cohorts gaining access to more and more concessional aid programs. To the extent that governments can influence their macroeconomic data, some, especially those in aid-dependent countries, may prefer to report data that sorts them into lower development cohorts. We term such behavior “aid-seeking data management.” The possibility of data management has substantial implications for aid distribution, and for the use of macroeconomic data in social scientific settings. We look for evidence of aid-seeking data management in the distribution of GNI per capita data around the eligibility threshold for the World Bank’s International Development Association (IDA). Because macroeconomic data are subject to frequent ex post revisions, we separately analyze the heavily revised data available for download from the World Bank’s World Development Indicators and the substantially less revised data that we gleaned from back issues of print edition of World Bank Atlas. We find that the less revised GNI per capita data display patterns that are consistent with aid-seeking data management among aid-dependent countries, and only among aid-dependent countries. This finding is robust to a variety of model specifications, but somewhat sensitive to the exclusion of individual countries from the sample. We find no such evidence in the currently downloadable data, suggesting that whatever biases aid-seeking data management may have generated in early data releases are largely and perhaps entirely wiped away in ex post revisions.
Starting Page	1
Ending Page	38
Page Count	38
File Format	PDF
ISSN	15597431
Journal	The Review of International Organizations
Volume Number	12
Issue Number	1
e-ISSN	1559744X
Language	English
Publisher	Springer US
Publisher Date	2015-12-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	World Bank Data Foreign Aid Social Sciences Political Science Economics
Content Type	Text
Resource Type	Article
Subject	Political Science and International Relations Economics and Econometrics Organizational Behavior and Human Resource Management

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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