Measuring the Statistical Capacity of Nations

65 Pages Posted: 1 Dec 2020

See all articles by Grant James Cameron

Grant James Cameron

World Bank

Hai-Anh Dang

World Bank - Development Data Group (DECDG)

Mustafa Dinc

World Bank

James E. Foster

George Washington University

Michael Lokshin

World Bank - Development Research Group (DECRG); National Research University Higher School of Economics

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Abstract

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 to propose a new, improved index to monitor progress in the statistical capacity of nations. The paper illustrates the properties of the proposed index with global data from 2016.

JEL Classification: C8, H00, I00, O1

Suggested Citation

Cameron, Grant James and Dang, Hai-Anh H. and Dinc, Mustafa and Foster, James E. and Lokshin, Michael, Measuring the Statistical Capacity of Nations. IZA Discussion Paper No. 13895, Available at SSRN: https://ssrn.com/abstract=3738837

Grant James Cameron (Contact Author)

World Bank ( email )

1818 H Street, NW
Washington, DC 20433
United States

Hai-Anh H. Dang

World Bank - Development Data Group (DECDG) ( email )

1818 H. Street, N.W.
MC2-846
Washington, DC 20433
United States

HOME PAGE: http://sites.google.com/site/haianhhdang/

Mustafa Dinc

World Bank ( email )

1818 H Street, N.W.
Washington, DC 20433
United States

James E. Foster

George Washington University ( email )

2121 I Street NW
Washington, DC 20052
United States

Michael Lokshin

World Bank - Development Research Group (DECRG) ( email )

1818 H. Street, N.W.
MSN3-311
Washington, DC 20433
United States
202-473-1772 (Phone)
202-522-1153 (Fax)

HOME PAGE: http://econ.worldbank.org/staff/mlokshin

National Research University Higher School of Economics

Myasnitskaya street, 20
Moscow, Moscow 119017
Russia

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