{"title":"Data transparency and growth in developing economies during and after the global financial crisis","authors":"Asif Mohammed Islam, Daniel Lederman","doi":"10.1111/kykl.12404","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":47739,"journal":{"name":"Kyklos","volume":"77 4","pages":"1169-1205"},"PeriodicalIF":1.5000,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Kyklos","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/kykl.12404","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
KYKLOS views economics as a social science and as such favours contributions dealing with issues relevant to contemporary society, as well as economic policy applications. Since its inception nearly 60 years ago, KYKLOS has earned a worldwide reputation for publishing a broad range of articles from international scholars on real world issues. KYKLOS encourages unorthodox, original approaches to topical economic and social issues with a multinational application, and promises to give fresh insights into topics of worldwide interest