Effects of international sharing of pollution abatement burdens on income inequality among countries

Improvements in environmental quality will boost output production and hence economic growth. However, although environmental abatement equally benefits all economies in the world, it is shown that, if the private productive resources are not yet accumulated sufficiently in low income economies, income inequality among economies can be widened in the short term not only under equal burden sharing of pollution abatement but even under income-proportional burden sharing. When the marginal productivity is diminishing, the negative effect of the burden is large relative to the positive effect of the improved environment in economies in which resources are not accumulated sufficiently.     

Optimal Pair–Trade Execution with Generalized Cross–Impact

Asia-Pacific Financial Markets - We examine a discrete–time optimal pair–trade execution problem with generalized cross–impact. This research is an extension of Fukasawa...     

The determinants of employers’ use of temporary contracts in the frictional labor market

This paper focuses on the following two primary reasons that employers use temporary contracts: to flexibly adjust employment and to screen workers. A search-matching framework is used to not only address employers’ endogenous choices in using temporary contracts, but also numerically identify the situations in which these contracts are likely to be used as a screening tool for permanent positions. This numerical exercise demonstrates that reducing employment protections in permanent jobs, reducing benefits for unemployed workers and raising the conversion probability from temporary to permanent employment will increase the relative proportion of employers who use temporary contracts as a screening device.     

Long-run matching relationship in the Japanese labor market

This paper investigates the long-run relationship among new hiring, unemployment (job seekers), and unfilled vacancies in Japan, using an annual panel data on 47 prefectures for 1972-1999. We find that these three variables are I(1) processes, and are cointegrated in our panel data. Further, we estimate the panel cointegration equation derived from a Cobb-Douglas matching function by the heterogeneous fully modified OLS and heterogeneous dynamic OLS. The estimation results reveal that conventional within estimates could have non-negligible biases.First version received: November 2002/Final version received: October 2003All correspondence to Shigeki Kano. The authors are grateful to the associate editor and two anonymous referees of this journal for helpful comments. Doctor Stephen J. Turnbull (University of Tsukuba) is also acknowledged for correcting English errors in this paper. Remaining errors are due to the authors. The data set and GAUSS programming code used in this paperare available upon request.     

Optimal chaos,nonlinearity and feasibility conditions

Summary This study constructs a class of dynamic models in which optimal paths are generated by nonlinear transition functions similar to a tent map. We provide a sufficient condition under which such a transition function is a chaotic map. This characterization provides a way to construct complex nonlinear dynamics in a broad range of dynamic economic models.We would like to thank Michele Boldrin, William Brock, Richard Day, Mukul Majumdar, Lionel McKenzie, Tapan Mitra, Luigi Montrucchio, Jose Scheinkman, Rangarajan Sundaram and the referees for comments and discussions.