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Assessing the Returns on Investment in Data Openness and Transparency

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  • Kubota,Megumi
  • Zeufack,Albert G.

Abstract

This paper investigates the potential benefits for a country from investing in data transparency. The paper shows that increased data transparency can bring substantive returns in lower costs of external borrowing. This result is obtained by estimating the impact of public data transparency on sovereign spreads conditional on the country's level of institutional quality and public and external debt. While improving data transparency alone reduces the external borrowing costs for a country, the return is much higher when combined with stronger institutional quality and lower public and external debt. Similarly, the returns on investing in data transparency are higher when a country's integration to the global economy deepens, as captured by trade and financial openness. Estimation of an instrumental variable regression shows that Sub-Saharan African countries could have saved up to 14.5 basis points in sovereign bond spreads and decreased their external debt burden by US$405.4 million (0.02 percent of gross domestic product) in 2018, if their average level of data transparency was that of a country in the top quartile of the upper-middle-income country category. At the country level, Angola could have reduced its external debt burden by around US$73.6 million.

Suggested Citation

  • Kubota,Megumi & Zeufack,Albert G., 2020. "Assessing the Returns on Investment in Data Openness and Transparency," Policy Research Working Paper Series 9139, The World Bank.
  • Handle: RePEc:wbk:wbrwps:9139
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    Cited by:

    1. M. Ayhan Kose & Peter Nagle & Franziska Ohnsorge & Naotaka Sugawara, 2021. "What has been the impact of COVID-19 on debt? Turning a wave into a tsunami," CAMA Working Papers 2021-99, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    2. Beni Kouevi Gath, 2021. "Credit Information Sharing and Bank Stability: Evidence from SSA Countries," Working Papers CEB 21-009, ULB -- Universite Libre de Bruxelles.
    3. Dang, Hai-Anh H. & Pullinger, John & Serajuddin, Umar & Stacy, Brian, 2024. "Reviewing Assessment Tools for Measuring Country Statistical Capacity," GLO Discussion Paper Series 1383, Global Labor Organization (GLO).

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