Over the last two decades, the Peruvian government has made great efforts to improve access to health care by significantly augmenting the coverage of the non-contributory public health care system Seguro Integral de Salud (SIS). This expansion has a positive impact on welfare and public health indicators, as it limits the risk of catastrophic health-related costs for previously uninsured individuals and allows for the appropriate treatment of illnesses. However, it also entails some unintended consequences for informality, tax revenues, and GDP, since a few formal agents are paying for a service that the majority of (informal) agents receive for free. In this paper, we use a general equilibrium model calibrated for Peru to simulate the expansion of SIS to quantify the unintended effects. We find that overall welfare increases, but informality rises by 2.7 percent, while tax revenues and output decrease by roughly 0.1 percent. Given the extent of the expansion in eligibility, the economic relevance of these results seems negligible. However, this occurs because the expansion of coverage was mostly funded by reducing the spending per-insured person. In fact, we find larger costs if public spending is increased to improve the quality of service given universal coverage.
Peter Windsor, Jeffery Yong, and Michelle Chong-Tai Bell
The paper explores the use of accounting standards for insurer solvency assessment in the context of the implementation of IFRS 17. The paper is based on the results of a survey of 20 insurance supervisors. Overall, IFRS 17 is a welcome development but there will be challenges of implementation. Not many insurance supervisors currently intend to use IFRS 17 as a basis for solvency assessment of insurers. Perceived shortcomings can be overcome by supervisors providing clear specifications where the principles-based standard allows a range of approaches. Accounting standards can provide a ready-made valuation framework for supervisors developing new solvency frameworks.
Joseph Goh, Mr. Heedon Kang, Zhi Xing Koh, Jin Way Lim, Cheng Wei Ng, Galen Sher, and Chris Yao
Cyber risk is an emerging source of systemic risk in the financial sector, and possibly a macro-critical risk too. It is therefore important to integrate it into financial sector surveillance. This paper offers a range of analytical approaches to assess and monitor cyber risk to the financial sector, including various approaches to stress testing. The paper illustrates these techniques by applying them to Singapore. As an advanced economy with a complex financial system and rapid adoption of fintech, Singapore serves as a good case study. We place our results in the context of recent cybersecurity developments in the public and private sectors, which can be a reference for surveillance work.
Natural disasters are a source of economic risks in many countries, especially in smaller and lower-income states, and ex-ante preparedness is needed to manage the risks. The paper discusses sovereign experience with disaster insurance as a key instrument to mitigate the risks; proposes ways to judge the adequacy of insurance; and considers ways to enhance its use by vulnerable countries. The paper especially aims to inform policy decisions on disaster insurance. Through simulations of natural disasters and various insurance options, we find that sovereign decisions on optimal risk transfer involve balancing trade-offs between growth and debt, based on government risk preferences and country risk exposure. The choice of optimal insurance for smaller countries turns out to be more constrained by