Measuring the statistical capacity of nations

Cameron, Grant J., Dang, Hai-Anh H., Dinc, Mustafa, Foster, James, Lokshin, Michael M.

The international development community has used the World Bank’s Statistical Capacity Index since its inception in 2004. The Sustainable Development Goals create new challenges for national statistical systems to produce high-quality and internationally comparable data. This paper reviews measurement methodologies, posits desired attributes, and presents theoretical and empirical frameworks for the new, improved index to monitor progress in the statistical capacity of nations. The paper illustrates the properties of the updated index with global data from 2016.

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Year of publication:	2019
Authors:	Cameron, Grant J. ; Dang, Hai-Anh H. ; Dinc, Mustafa ; Foster, James E. ; Lokshin, Michael
Publisher:	Maastricht : Global Labor Organization (GLO)
Subject:	statistical capacity \| statistical indicators \| statistical index \| national statistical system \| data \| measurement \| Statistische Methode \| Statistical method \| Statistisches Amt \| Statistical office \| Statistik \| Applied statistics \| Messung \| Measurement \| Wirtschaftsstatistik \| Economic statistics \| Wirtschaftsindikator \| Economic indicator \| Statistische Methodenlehre \| Statistical theory \| Datenerhebung \| Data collection

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Extent:	1 Online-Ressource (circa 61 Seiten) Illustrationen
Series:	GLO discussion paper. - Essen : [Global Labor Organization (GLO], ZDB-ID 2951901-9. - Vol. no. 298
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper
Language:	English
Other identifiers:	hdl:10419/191046 [Handle]
Classification:	C8 - Data Collection and Data Estimation Methodology; Computer Programs ; H00 - Public Economics. General ; I00 - Health, Education, and Welfare. General ; O1 - Economic Development
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10012163047