Do Transparency Initiatives Work? Assessing the Impact of the Special Data Dissemination Standard (SDDS) on Data Transparency

K. Vadlamannati, A. Cooray
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Abstract

The Special Data Dissemination Standard (SDDS) initiative was launched by the International Monetary Fund (IMF) in 1996, to enhance the availability of timely and comprehensive macroeconomic and financial statistics based on best dissemination practices, facilitating the pursuit of sound macroeconomic policies. By joining this initiative, governments signal their commitment to disclose policy-relevant data. Has the SDDS initiative served its purpose? We provide first quantitative evidence on the effects of the SDDS data transparency initiative. We use Hollyer, Rosendorff and Vreeland’s (2014) Data Transparency Index which gauges governments’ ability to collect and disseminate aggregate economic data using a Bayesian item response algorithm model, which treats transparency as a latent predictor of the reporting (absence) on 240 variables collected from the World Bank’s World Development Indicators. Using panel data on 120 countries during the 1996-2011 period, we find that countries complying with the SDDS initiative are associated with an increase in data transparency index after controlling for self-section bias. Our results are robust to controlling for endogeneity using instrumental variables, alternative sample, and estimation methods.
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透明度倡议有效吗?评估特殊数据发布标准(SDDS)对数据透明度的影响
国际货币基金组织(基金组织)于1996年推出特别数据发布标准(SDDS)倡议,目的是根据最佳发布做法,提高及时和全面的宏观经济和金融统计数据的可得性,促进推行健全的宏观经济政策。通过加入这一倡议,各国政府表明了其披露政策相关数据的承诺。SDDS计划是否达到了它的目的?我们为SDDS数据透明度倡议的影响提供了第一个定量证据。我们使用Hollyer, Rosendorff和Vreeland(2014)的数据透明度指数,该指数使用贝叶斯项目响应算法模型衡量政府收集和传播总体经济数据的能力,该模型将透明度视为报告(缺失)240个变量的潜在预测因子,这些变量收集自世界银行的世界发展指标。利用1996-2011年期间120个国家的面板数据,我们发现,在控制了自我部分偏差后,遵守SDDS倡议的国家与数据透明度指数的增加有关。我们的结果是稳健的控制内生性使用工具变量,替代样本和估计方法。
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