A Continuous-Time Optimal Insurance Design with Costly Monitoring

We provide a theoretical and numerical framework to study optimal insurance design under asymmetric information. We consider a continuous-time model where neither the efforts nor the outcome of an insured firm are observable to an insurer. The insured may then cause two interconnected information problems: moral hazard and fraudulent claims. We show that, when costly monitoring is available, an optimal insurance contract distinguishes the one problem from the other. Furthermore, if the insured’s downward-risk aversion is weak and if the participation constraint is not too tight, then a higher level of the monitoring technology can mitigate both problems.     

Business Groups and the Big Push: Meiji Japan's Mass Privatization and Subsequent Growth

Paul Rosenstein-Rodan argues that economic development requirescoordinated investment in many interdependent industries, andprescribes a flood of state-controlled investment across allsectors—a so-called big push. Widespread government failuredefeated twentieth-century ‘big push’ schemes. Butspillovers across firms and industries, and from public goods,hold-up problems, and capital market limitations are real, andjustify coordinated growth across sectors if it can be donewithout government failures. Large, extensively diversifiedpyramidal business groups of listed firms dominate the historiesof developed economies and the economies of developing economies.Arguing that such groups provided this coordination in prewarJapan after a state-run big push failed, we propose that pyramidalbusiness groups are private-sector mechanisms for coordinatingbig push growth, and that competition between rival groups inducesefficiency unattainable in a state-run big push. We postulatethat a successful business-group led big push requires economicopenness, basic public goods, rule of law, separation of thestate from business, and a timely demise of business groupswhen the big push phase is complete. Where these criteria arenot met, growth stalls and oligarchic families become too powerfulto dislodge.     

Two Types of Disagreement in Group Discussions of Japanese Undergraduates

In this study we investigated the nature of disagreement, which is a necessary component of a good discussion. We obtained 27 group discussion scenes by Japanese undergraduates that were evaluated by two ways: impression rating and ranking. As a result of factor analysis for the impression rating data, five factors were extracted: activeness, multidirection and unification of discussion, relationships of participants, development and sophistication of discussion, and sincerity of the participants, and each factor scores of each scene was simultaneously calculated. Each scene’s rank score was also calculated by relative comparisons. A significant positive correlation was found between the mean factor and the rank scores except for Factor 3 (relationships of participants). To consider the reason for the difference relating to Factor 3’s score, we scrutinized the discussion process of four scenes of the different patterns of the factor and rank scores. From the analysis of conversations, we suggested that this difference reflected ways of disagreement. By introducing a probative discourse tags for discussion (pDTD), we reasoned that the frequency of disagreement made Factor 3’s score negative and the absence of the second part of adjacency pairs made the rank score worse. The explicit speech and actions of blame such as emotional and aggressive expression, and neglect of treatment for the minor opinion made also the discussion unfair, but we think that these behaviors might erupt from the ground made by the accumulated implicit behaviors such as the absence of the second part. We finally concluded that the criticism type of disagreement increased the rank scores, and its censure type produced lower results, and the proper ways of disagreement in group discussions were discussed.     

Dynamic Investment Strategies to Reaction–Diffusion Systems Based upon Stochastic Differential Utilities

We study the dynamic investment strategies in continuous-time settings based upon stochastic differential utilities of Duffie and Epstein (Econometrica 60:353–394, 1992). We assume that the asset prices follow interacting Itô-Poisson processes, which are known to be the so-called reaction–diffusion systems. Stochastic maximum principle for stochastic control problems described by some backward-stochastic differential equations that are driven by Poisson jump processes allows us to derive the optimal investment strategies as well as optimal consumption. We shall furthermore propose a numerical procedure for solving the associated nested quasi-linear partial differential equations.     

On the Hoggard–Whalley–Wilmott Equation for the Pricing of Options with Transaction Costs

The Hoggard–Whalley–Wilmott equation is introduced to model portfolios of European type options incorporating transaction costs. The model gives rise to a nonlinear parabolic partial differential equation (PDE), whose nonlinearity reflects the presence of transaction costs. We show analytically the existence of solutions which are not necessarily convex nor concave. Numerical treatments are also given, which are devised to effectively handle an infinite domain and unbounded solutions.      

Estimating switching costs after introducing Fixed-Mobile Convergence in Japan

In this study, based on a conjoint-type survey analysis, the switching cost of several Japanese telecom services are empirically examined simultaneously, contingent on each carrier’s bundling strategies. The results suggest the following conclusions. The hierarchy of switching costs is mobile phone service, fixed phone service, ISP (Internet Service Provider), and broadband access service, in descending order. Even if the government prohibits the formerly state-owned monopoly NTT from forming alliances with other carriers, the legacy NTT group would still command more than half of the market share under FMC if each carrier adopts a pure bundling strategy. If mixed bundling emerges as the primary strategy in the FMC market, the resulting type of competition from the introduction of FMC does not stimulate competitive pricing.     

Dynamic models of the labor force behavior of married women which can be estimated using limited amounts of past information

This paper examines the extent of the inadequacy of standard cross-sectional models of US labor force behavior and considers the abilities of alternative models to capture the observed continuity in the hours of work and earnings of individuals as well as in their employment histories. Both of the alternatives to the standard cross-sectional model considered in this study incorporate limited amounts of information about past work behavior that could easily be collected as part of a national population census. Using a population of 21 to 64 year old married working women taken from a 1969 through 1978 Michigan Panel Study of Income Dynamics, the variables included in the Z vector age: 1) age of the wife; 2) education of the wife; 3) state average hourly wage in manufacturing measured in 1967 dollars; and 4) unemployment rate for the state in which the wife lives. Results show that by using information about a women's hours of work and wage rate in the previous year, it may be feasible to improve on forecasts of a woman's employment and earnings behavior. For each model a separate estimate is made for wives aged 21 through 46, and for those aged 47 through 64. The dummy and difference models perform much better than the standard model, with the dummy model having the higher pseudo-chi-square statistic. These models show that systematic errors made in determining which individuals work, what they earn per hour, or how many hours they work, should result in prediction errors of the same sort year after year in the computation of annual earnings. These findings with respect to years of work and nonwork, years of part time versus full time work, and cumulative earnings over a 10 year period, confirm and extend Heckman's findings; thus, forecasting models of the work behavior of individuals should not be estimated using pure cross-sectional data. It would be important if researchers could identify what observable factors, if any, increase the likelihood that wives will alter their work behavior from what it has been in the immediate past, even if they are not able to fully understand or explain this previous work behavior.