Data transparency and growth in developing economies during and after the global financial crisis

Asif Islam and Daniel Lederman

Kyklos, 2024, vol. 77, issue 4, 1169-1205

Abstract: The study explores the effects of data transparency on economic growth for developing economies over a unique time period ‐ at the onset of the 2007–2009 global financial crisis and thereafter. Data transparency is defined as the timely production of credible statistics as measured by the statistical capacity indicator. The paper finds that data transparency has a positive effect on real gross domestic product per capita during a period of considerable uncertainty. 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.

Date: 2024
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