Unemployment insurance: Risk sharing versus efficiency

Two models of spot labor markets are presented in which labor suppliers have heterogeneous attitudes towards effort and in which uncertainty prevails on labor productivity and growth. The problem of selecting efficient rules to manage unemployment insurance (UI) systems is considered. We show that there does not exist any system which combines an efficient allocation of labor with an efficient allocation of risks among employees, unemployed workers and capital-owners. Pareto-efficient policy rules are a best compromise between these two conflicting objectives. It implies that productive efficiency could be improved in periods of mass unemployment by reducing UI benefits. That would be at the expense of more inefficiencies in the sharing of macroeconomic risks. At the optimum, the UI benefit is positively correlated to growth and it is negatively correlated to labor productivity.     

There's something about saving …

The paper considers how people should plan their saving, given certain assumptions about inheritance and changes in household circumstances. The results are produced by a model that takes into account tax and state benefits as well as various private savings vehicles. It concludes that, for many households, saving for retirement through a ‘pension’ might not be optimum and that the best strategy is to vary the incidence and allocation of saving in response to changes in household circumstances.     

Satisfaction drivers for Internet service technology among stock brokerage customers in Thailand

Many financial services firms are offering the Internet as a self-service technology (SST), for online stock trading, in an effort to increase effciency and give customers greater access. It is important to understand how this technology will influence customer satisfaction. This paper reports results of exploratory research to identify sources of customer satisfaction and dissatisfaction with the service encounter in Thai stockbrokerage firms. Results show that customers and service providers determine sources of customer dis/satisfaction differently, depending on whether the service encounter is technology-based or interpersonal. Different customer profiles give rise to segmentation in response to the use of Internet technology in this industry.