Data Transparency and Long-Run Growth

For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on longrun growth for a sa...

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Main Authors:	Islam, Asif Mohammed, Lederman, Daniel
Format:	Working Paper
Language:	English
Published:	World Bank, Washington, DC 2020
Subjects:	DATA TRANSPARENCY STATISTICS ECONOMIC GROWTH STATISTICAL CAPACITY
Online Access:	http://documents.worldbank.org/curated/en/947471607543857349/Data-Transparency-and-Long-Run-Growth http://hdl.handle.net/10986/34915

id	okr-10986-34915
recordtype	oai_dc
spelling	okr-10986-349152022-09-20T00:10:02Z Data Transparency and Long-Run Growth Islam, Asif Mohammed Lederman, Daniel DATA TRANSPARENCY STATISTICS ECONOMIC GROWTH STATISTICAL CAPACITY For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on longrun growth for a sample of mostly developing economies. Data transparency is defined as the timely production of credible statistics as measured by the Statistical Capacity Index. The paper finds that data transparency has a positive effect on real gross domestic product per capita, implying a statistically significant impact on transitional growth to a higher potential level of gross domestic product per capita. The estimates indicate an elasticity of the magnitude of 0.03 percent per year, which is much larger than the elasticity of trade openness and schooling in the estimation sample. The empirics employ a variety of econometric estimators, including dynamic panel and cross-sectional instrumental variables estimators, with the latter approach yielding a higher estimated elasticity. The findings are robust to the inclusion of several factors in addition to political institutions and exogenous commodity-price and external debt-financing shocks. 2020-12-10T16:02:32Z 2020-12-10T16:02:32Z 2020-12 Working Paper http://documents.worldbank.org/curated/en/947471607543857349/Data-Transparency-and-Long-Run-Growth http://hdl.handle.net/10986/34915 English Policy Research Working Paper;No. 9493 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper Middle East and North Africa Middle East North Africa
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	DATA TRANSPARENCY STATISTICS ECONOMIC GROWTH STATISTICAL CAPACITY
spellingShingle	DATA TRANSPARENCY STATISTICS ECONOMIC GROWTH STATISTICAL CAPACITY Islam, Asif Mohammed Lederman, Daniel Data Transparency and Long-Run Growth
geographic_facet	Middle East and North Africa Middle East North Africa
relation	Policy Research Working Paper;No. 9493
description	For centuries states have engaged in collecting data to serve various interests. In modern times, a data gap has emerged between developing and developed economies, with the latter having more advanced data systems. The authors explore the effects of data transparency on longrun growth for a sample of mostly developing economies. Data transparency is defined as the timely production of credible statistics as measured by the Statistical Capacity Index. The paper finds that data transparency has a positive effect on real gross domestic product per capita, implying a statistically significant impact on transitional growth to a higher potential level of gross domestic product per capita. The estimates indicate an elasticity of the magnitude of 0.03 percent per year, which is much larger than the elasticity of trade openness and schooling in the estimation sample. The empirics employ a variety of econometric estimators, including dynamic panel and cross-sectional instrumental variables estimators, with the latter approach yielding a higher estimated elasticity. The findings are robust to the inclusion of several factors in addition to political institutions and exogenous commodity-price and external debt-financing shocks.
format	Working Paper
author	Islam, Asif Mohammed Lederman, Daniel
author_facet	Islam, Asif Mohammed Lederman, Daniel
author_sort	Islam, Asif Mohammed
title	Data Transparency and Long-Run Growth
title_short	Data Transparency and Long-Run Growth
title_full	Data Transparency and Long-Run Growth
title_fullStr	Data Transparency and Long-Run Growth
title_full_unstemmed	Data Transparency and Long-Run Growth
title_sort	data transparency and long-run growth
publisher	World Bank, Washington, DC
publishDate	2020
url	http://documents.worldbank.org/curated/en/947471607543857349/Data-Transparency-and-Long-Run-Growth http://hdl.handle.net/10986/34915
_version_	1764481925390532608

Data Transparency and Long-Run Growth

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