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

Asif Mohammed Islam, Daniel Lederman

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)1169-1205
Number of pages37
JournalKyklos
Volume77
Issue number4
DOIs
StatePublished - Nov 2024
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2024 The World Bank. Kyklos © 2024 John Wiley & Sons Ltd.

ASJC Scopus subject areas

  • Arts and Humanities (miscellaneous)
  • Economics and Econometrics

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