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  • Technological Change: Choices and Consequences; Diffusion Processes x
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Abstract

Digitization promises to reshape fiscal policy by transforming how governments collect, process, share, and act on information. More and higher-quality information can improve not only policy design for tax and spending, but also systems for their management, including tax administration and compliance, delivery of public services, administration of social programs, public financial management, and more. Countries must chart their own paths to effectively balance the potential benefits against the risks and challenges, including institutional and capacity constraints, privacy concerns, and new avenues for fraud and evasion. Support for this book and the conference on which it is based was provided by the Bill and Melinda Gates Foundation “Click Download on the top right corner for your free copy..."

The Spring-Summer 2019 issue of the IMF Research Perspectives explores how technology deals with old questions. Articles discuss the ways technological progress and the increased availability of data have helped in some areas, while presenting new challenges for analyzing various matters. The issue also includes an interview with Gita Gopinath, the new director of the IMF Research Department.
Mr. S. Nuri Erbas and Chera L. Sayers
Knightian uncertainty (ambiguity) implies presence of uninsurable risks. Institutional quality may be a good indicator of Knightian uncertainty. This paper correlates non-life insurance penetration in 70 countries with income level, financial sector depth, country risk, a measure of cost of insurance, and the World Bank governance indexes. We find that institutional quality-transparency-uncertainty nexus is the dominant determinant of insurability across countries, surpassing the explanatory power of income level. Institutional quality, as it reflects on the level of uncertainty, is the deeper determinant of insurability. Insurability is lower when governance is weaker.
Ms. Natasha X Che
This paper presents a set of collaborative filtering algorithms that produce product recommendations to diversify and optimize a country's export structure in support of sustainable long-term growth. The recommendation system is able to accurately predict the historical trends in export content and structure for high-growth countries, such as China, India, Poland, and Chile, over 20-year spans. As a contemporary case study, the system is applied to Paraguay, to create recommendations for the country's export diversification strategy.