Finding Pareto Optimal Insurance Contracts

This paper deals with on-line computation—or step-wise learning—of Pareto optimal insurance contracts. Our approach tolerates that the loss distribution might be unknown, intractable, or not well specified. Thus we accommodate fairly inexperienced parties. Losses are here simulated or observed, one at a time, and they cause iterated revisions of the premium. The mechanical and global nature of probability calculus thereby yields to more tentative, myopic procedures, possibly closer to how humans operate or reason in face of risk. Sequential revisions may also reduce the expense of insurers' time and money in seeking sufficient statistics. Emphasized below is the remarkable simplicity and stability of the resulting adaptive procedures. Special attention goes to catastrophic risks, and to subsidized or competitive insurance.     

Global economy gathering strength

Encouraged by a highly expansionary economic policy, the global economy is enjoying a rapid upturn. Utilisation of capacity is high in many sectors, particularly in the growth centres of the USA and East Asia, where China leads the field. With inflationary risks on the increase, most countries are now shifting the focus of economic policy. Fiscal policy in particular can be expected to provide little in the way of further stimulus. In addition, there has been a turnaround in interest rates in many countries. Yet how quickly can the monetary reins be tightened without jeopardising growth or endangering price stability?     

New ways of achieving debt sustainability beyond the enhanced HIPC Initiative

In 1996 the Heavily Indebted Poor Countries (HIPC) Initiative was launched by the Bretton Woods institutions to reduce the external debt burden of low-income countries (LICs) to sustainable levels in a reasonably short period of time because debt constitutes an obstacle to sustainable economic growth and poverty reduction. In some HIPCs, however, debt sustainability has been in danger despite debt relief under the HIPC Initiative. Debt relief is a necessary but not a sufficient condition for development. It can do no more than play a catalytic role. The question, then, is how to achieve debt sustainability beyond the HIPC Initiative.     

Fragmentation, Engel's Law, and Learning

This paper outlines the conditions under which trade is beneficial for a developing country's growth. A developing country suffers from two disadvantages: low income and a comparative disadvantage in the production of modern manufactured goods—goods which allow a high rate of human capital accumulation through learning by doing. Low income together with Engel's law imply that developing countries consume and produce very few modern goods in autarky and hence grow slowly. With international fragmentation of production, a developing country may find comparative advantage in the production of some stages of modern goods despite an absence of comparative advantage in the production of modern goods under “100% local content.” More resources can then be allocated to the modern goods sector leading to greater learning externalities and hence growth under free trade than in autarky.