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The World Bank's Statistical Capacity Index has been widely employed to measure country statistical capacity since its inception two decades ago. This paper builds on the existing advantages of the Statistical Capacity Index, conceptually and empirically, to offer new statistical performance indicators and the Statistical Performance Index, which can better measure a country's statistical performance. The new index has clearer conceptual motivations, employs a stronger mathematical foundation, and significantly expands the number of indicators and countries covered. The paper further provides empirical evidence that illustrates the strong correlation of the new index with other commonly used development indicators of human capital, governance, poverty, and inequality. The framework can accommodate future directions to improve the index as the global data landscape evolves.

Digital Divide --- E-Government --- Governance --- ICT Data and Statistics --- Information and Communication Technologies --- National Statistical System --- Poverty Reduction --- Statistical and Mathematical Sciences --- Statistical Capacity --- Statistical Capacity Index --- Statistical Indicators --- Statistical Performance --- WDR Background Paper

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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 long-run 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.

Data Transparency --- Economic Growth --- Economic Policy, Institutions and Governance --- Economic Theory and Research --- Knowledge Economy --- Macroeconomics and Economic Growth --- Science and Technology Development --- Statistical and Mathematical Sciences --- Statistical Capacity --- Statistics