Measuring producer welfare under output price uncertainty and risk non-neutrality

Procedures to measure the producer welfare effects of changes in an output price distribution under uncertainty are reviewed. Theory and numerical integration methods are combined to show how for any form of Marshallian risk-responsive supply, compensating variation of a change in higher moments of an output price distribution can be derived numerically. The numerical procedure enables measurement of producer welfare effects in the many circumstances in which risk and uncertainty are important elements. The practical ease and potential usefulness of the procedure is illustrated by measuring the producer welfare effects of USA rice policy.     

Enhancing firm performance through intra-group managerial experience: Evidence from group-affiliated firms in Korea

Asia Pacific Journal of Management - Although business groups often benefit from tangible and intangible resource sharing across member firms, little is known about whether and how sharing...     

Risk‐taking channel of monetary policy

One of the most robust stylized facts in macroeconomics is the forecasting power of the term spread for future real activity. We propose a possible causal mechanism for the forecasting power of the term spread, deriving from the balance sheet management of financial intermediaries and the “risk‐taking channel of monetary policy.” Monetary tightening leads to the flattening of the term spread, reducing net interest margin and credit supply. We provide empirical support for the risk‐taking channel.     

Analysis and design of microfinance services: A case of ROSCA

Rotating savings and credit association (ROSCA) is a well-known microfinance association widely used in many countries around the world with long histories. By considering extra profits that such a system can provide when compared to banking transactions, we develop optimization problems to achieve an optimal design of a ROSCA. We find that ROSCAs might attract investors when deposit and loan rates from formal banking systems are not favorable. Furthermore, optimal rates and optimal orders to maximize system outputs are reported.     

What If Immigrants Had Not Migrated?

A bstract .   Despite strong theoretical arguments and models about international migration, very few empirical studies rigorously test these arguments and models. The purpose of the present study is to analyze determinants and consequences for international migration, focusing particularly on the returns to post-hoc international migration. The present study compares residential well-being of Korean international migrants in the United States with that of their hypothetical well-being if they had not migrated. Our suggested models of the selectivity corrected returns to various characteristics for immigrants and nonimmigrants enable us to estimate the "opportunity well-being" of individuals and households; that is, the well-being of immigrants-had-they-stayed and of nonimmigrants-if-they-had-immigrated. The data for our analyses are drawn from the 1990 Korea Census Data and the Public Use Microdata Samples (PUMS) of the 1990 U.S. Census. In either case of migrants-had-they-stayed or of nonimmigrants-had-they-migrated, international migration to the United States has a significant and positive effect on the probability of homeownership, especially for women. The results show that the predicted probability of homeownership attainment increases as a result of migration by 15 percent to 16 percent for women and by 8 percent for men. The study concludes that migrating to the United States offers better opportunities for homeownership than staying in Korea does, particularly for women.     

The cross‐Euler equation approach to intertemporal substitution in import demand

This paper addresses the empirical dilemma in identifying and estimating the parameters governing the intertemporal elasticity of substitution (IES) for import demand. We propose a new concept, the cross‐Euler equation, for overcoming this empirical dilemma. IES parameters are estimated by exploiting the cointegrating restriction implied by the cross‐Euler equation. Further, by comparing the IES estimates from the cross‐Euler equation to those from the standard Euler equation, we test the hypothesis whether import demand is affected by nuisance factors. Using the US data, we found imported goods consumption to be robust against nuisance factors, but not for domestic goods. Copyright © 2005 John Wiley & Sons, Ltd.