HETEROGENEOUS CONTESTS AND LESS INFORMATIVE SIGNALS*

We consider rank‐order contests with heterogeneous agents in which the principal is restricted to using a fair contest (or a symmetric contest), focusing on the optimal accuracy of output signals. As opposed to the absolute performance evaluation, we show that it is optimal for the principal to deliberately make the signals noisier according to the degree of heterogeneity. Some economic interpretations of controlling noise are discussed.     

ECONOMIC GROWTH AND PUBLIC EXPENDITURE COMPOSITION: OPTIMAL ADJUSTMENT USING THE GRADIENT METHOD

Previous studies have looked at how the components of fiscal spending affect economic growth. However, we explicitly enquire into how to adjust the components in order to achieve the highest rate of economic growth starting from the present shares of components, by introducing a gradient method. The resulting optimal adjustment shares are proportional to the deviations from the average over elements of a gradient vector. The optimal adjustment share is completely estimated by using linear regression with any choice of omitted variable. The paper also provides an illustrative example taken from the annual panel data for the Japanese prefectural governments.     

MICROFINANCE REVOLUTION: ITS EFFECTS,INNOVATIONS, AND CHALLENGES

“Microfinance revolution” is the term often applied to the successful expansion of small-scale financial services to the poor with high repayment records in developing countries. The present paper investigates the extent to which the microfinance revolution is truly revolutionary. More specifically, it explores the impact of microfinance institutions on the poor, the mechanisms underlying high repayment rates and their innovations, and the new challenges microfinance institutions are currently facing. Different from the existing published survey literature, we focus on current topics and attempt to show recent theoretical developments in a comprehensive manner using simplified models with very similar settings. We contend that microfinance is developing in a promising direction but has yet to reach its full potential.     

EARTHQUAKE RISKS AND LAND PRICES: EVIDENCE FROM THE TOKYO METROPOLITAN AREA*

The current paper empirically addresses risk aversion of households and firms toward earthquake risks using a hazard map compiled for the entire region by the Tokyo metropolitan government in 1998. It finds strong evidence for the impact of earthquake risks on land pricing; land prices have been substantially lower in risky areas than in safe areas. That impact became more evident in the 1990s than in the 1980s, indicating that households and firms were becoming more sensitive to earthquake risks. In addition, this paper carefully examines the consistency of the estimated magnitude of earthquake risk premiums within a framework of the expected utility hypothesis.     

WHY IS THE TAKE-UP OF MICROINSURANCE SO LOW? EVIDENCE FROM A HEALTH INSURANCE SCHEME IN INDIA

Insurance for the poor, called microinsurance, has recently drawn the attention of practitioners in developing countries. There are common problems among the various schemes: (1) low take-up rates, (2) high claim rates, and (3) low renewal rates. In the present paper, we investigate take-up decisions using household data collected in Karnataka, India, focusing on prospect theory, hyperbolic preference, and adverse selection. Prospect theory presumes that people behave in a risk-averse way when evaluating gains but in a risk-loving way when evaluating losses. Because insurance covers losses, the risk-loving attitude toward losses might explain the low take-up rates, and we find weak empirical support for this. Households with hyperbolic preference were more likely to purchase insurance, consistent with our theoretical prediction of demand for commitment. We also find some evidence on the existence of adverse selection: households with a higher ratio of sick members were more likely to purchase insurance.