Studies of risk in developing economies have focused on consumption fluctuations as a measure of the value of insurance. A common view in the literature is that the welfare costs of risk and benefits of social insurance are small if income shocks do not cause large consumption fluctuations. We present a simple model showing that this conclusion is incorrect if the consumption path is smooth because individuals are highly risk averse. Empirical studies find that many households in developing countries rely on inefficient methods to smooth consumption, suggesting that they are indeed quite risk averse. Hence, social safety nets may be valuable in low-income economies even when consumption is not very sensitive to shocks.

"Satisfactory calculations of the welfare cost of aggregate consumption uncertainty require a framework that replicates major features of asset prices and returns, such as the high equity premium and low risk-free rate. A Lucas-tree model with rare but large disasters is such a framework. In a baseline simulation, the welfare cost of disaster risk is large -- society would be willing to lower real GDP by about 20% each year to eliminate all disaster risk, including wars. In contrast, the welfare cost from usual economic fluctuations is much smaller, though still important -- corresponding to lowering GDP by around 1.5% each year"--National Bureau of Economic Research web site.

An overview of the saving and consumption patterns of households

The standard theory of decision making under uncertainty advises the decision maker to form a statistical model linking outcomes to decisions and then to choose the optimal distribution of outcomes. This assumes that the decision maker trusts the model completely. But what should a decision maker do if the model cannot be trusted? Lars Hansen and Thomas Sargent, two leading macroeconomists, push the field forward as they set about answering this question. They adapt robust control techniques and apply them to economics. By using this theory to let decision makers acknowledge misspecification in economic modeling, the authors develop applications to a variety of problems in dynamic macroeconomics. Technical, rigorous, and self-contained, this book will be useful for macroeconomists who seek to improve the robustness of decision-making processes.

In September 2001, staff from the World Bank and the International Monetary Fund met with the objective of strengthening collaboration between the two organizations in projects of civil service reform. This strengthened collaboration will have key benefits in ensuring consistency between the conflicting goals of the two organizations, establishing realistic objectives within the reform process, and maintaining a core set of wage and employment data. The principal conclusion arrived at was that World Bank and IMF staff should be engaging in collaboration earlier in the reform process. To guide the collaboration, six foundations were identified. These include: develop a medium-term fiscal framework; foster national ownership by making reforms politically feasible; focus and streamline conditionality; agree on sequencing and timing of reforms; and strengthen data collection. These principals will be tested for effectiveness in several focus countries.