Forecasting Japanese health futures with the BFT : A demand-side approach

In response to the problems associated with supply-side health-care planning, the Institute of Health Systems Development has created a demand-side approach which has been named BFT (Bioforecasting Technology). The system involves integration of data regarding the population, the natural and social environment, and the health/medical/social services with projections on factors that will influence the future population's demand for different kinds of health services. BFT forecasts have proved highly accurate. The system has been used throughout Japan and internationally, and much wider applications beyond standard hospital and health planning are possible.     

The properties of some covariance matrix estimators in linear models with AR(1) errors

A Monte Carlo study is used to demonstrate how poor some traditional covariance matrix estimators can be in linear models with AR(1) errors. It is also shown that a second-order approximation suggested recently by Ullah et al. (1983) does not lead to a more accurate covariance matrix estimator.     

A comparison of the Box-Cox maximum likelihood estimator and the non-linear two-stage least squares estimator

This paper investigates the limiting behaviour of the ‘maximum likelihood estimator’(MLE) based on normality, as well as the nonlinear two-stage least squares estimator (NL2S), for the i.i.d. and regression models in which the Box-Cox transformation is applied to the dependent variable. Since the transformed variable cannot in general be normally distributed, the untransformed variable is assumed to have a two-parameter gamma distribution. Tables of probability limits and asymptotic variance demonstrate that, in this case, the inconsistency of the ‘normal MLE’ is often quite pronounced, while the NL2S is consistent and typically well behaved.     

The nonlinear limited-information maximum- likelihood estimator and the modified nonlinear two-stage least-squares estimator

Several limited-information type estimators of the nonlinear simultaneous equation model are considered and their asymptotic covariance matrices are compared. Amemiya (1974) proposed the general class of nonlinear two-stage least-squares estimators. In this paper, its two specific members are considered and, in addition, the nonlinear limited-information maximum- likelihood estimator and the modified nonlinear two-stage least-squares estimator are proposed. Both are shown to be asymptotically more efficient than the nonlinear two-stage least-squares estimator, and the second has the advantage of being computationally simple.     

Internalization of externalities and local government consolidation: empirical evidence from Japan

The fact that jurisdictional consolidation overcomes externality problems in the provision of local public goods is one of the best-known benefits of consolidation in the theoretical literature. Nevertheless, previous studies provide little evidence of how public service spillover effects influence consolidation decisions. This study empirically tests the hypothesis that spillovers induce consolidation, using voting data on the consolidation of Japanese municipalities. The extent of spillovers is measured by estimating the demand function for public goods with externalities. It is found that residents of the municipalities that can internalize a large amount of public goods spillovers through municipal consolidation tend to favor consolidation. This result supports the theoretical inference that spillovers in local public goods affect utility gains from jurisdiction integration, thus serving as one of the key impetuses for boundary reform. Moreover, after controlling for the spillover effects, economies of scale, population share, differences in median income, and unconditional grants can help explain consolidation preference.     

Examining the relationship between municipal consolidation and cost reduction: an instrumental variable approach

This study explores the cost-reduction effects of local government consolidation, using data from Japanese municipalities. We use municipal panel data from Japan for the years 2000, 2005 and 2010, a data set including numerous consolidation cases. Reverse causality between consolidation decisions and size of municipal expenditure is a concern in the voluntary consolidation of local governments. An instrumental variable (IV) methodology is employed to deal with possible endogeneity associated with consolidation decisions. The main finding is that municipal current expenditure per capita increases immediately after consolidation, but then gradually declines. Because consolidation seems to increase per capita expenditure in the absence of the effect of this long-term declining trend, incorporating this trend into estimation is crucial in cost-efficiency analysis of consolidation. It is also shown that conventional panel data regressions yield biased consolidation effects, suggesting the superiority of the IV approach.     

Why Do Prices Remain Stable in the Bubble and Bust Period?

In spite of a large swing in real output growth in the bubble and bust period, aggregate prices remained relatively stable in Japan. Empirical results show that such price rigidity can be explained by the customer market model combined with financial constraints. The degree of financial constraints that firms face in the bubble and bust period fluctuates significantly, and the impact of financial positions on firms’ prices is counter-cyclical. In booms, liquidity-abundant firms invest in market share by keeping prices down, while in a recession financially constrained firms charge a high price to locked-in customers who remain loyal. Such counter-cyclicality is clearly observed in the pricing behavior of large firms that produce differentiated goods. In contrast, small firms whose product brand is not well established in the market cannot lock in customers, and hence financial constraints do not affect their pricing decisions.     

Sarbanes-Oxley Act and corporate credit spreads

Stock market reaction suggests that despite improved disclosure and increased accountability, Sarbanes-Oxley Act (SOX) is too costly and not beneficial. Noting that bondholders are likely to reap the many potential benefits of SOX without bearing the brunt of costs, we examine how SOX affected corporate credit spreads to better assess its benefits. SOX has led to a significant structural decline in spreads of at least 27 basis points. Riskier firms (low rating, long maturity, high leverage, and small size) and firms closely related to SOX major provisions (earning variability, managerial trading, and corporate governance) experience greater declines in spreads.     

Technological innovation and diffusion of wind power in Japan

The purpose of this paper is to analyze the diffusion of wind power in Japan by focusing on the value chain and the interaction between technology and markets and to contribute towards recommendations on technology policy and management. This paper proposes a framework for analyzing the early stage diffusion of wind power systems by combining the use of several approaches considering wind power system as a complex technological system. Firstly, the business system approach is used as an analytical framework by focusing on efficiency, effectiveness and development criteria. As a second approach, the technological trajectory was analyzed based on the concept of technological disequilibrium and the evolutionary patterns of innovation of wind power generation systems were analyzed and the relationship between innovations at the sub-system, modular, and system level was identified. We apply the framework to investigate why wind power diffusion has not picked up momentum in Japan.The results include the following: (1) Technological imbalances within the product system were solved by technological innovation (2) The wind power business in Japan is insufficiently effective due to organizational disequilibrium (3) The technology system has begun to evolve in the direction of micro grid systems. (4) It is important to consider the demand-pull measures for wind power generation so that Japanese institution can have a “time slot” for ”learning by doing” to catch up and accelerate diffusion of wind power generation, including institutional reform of RPS law. Also further technological development related to stabilizing unstable wind energy is required.     

Researcher Interaction Biases and Business Ethics Research: Respondent Reactions to Researcher Characteristics

The potential for biased responses that occur when researchers interact with their study participants has long been of interest to both academicians and practitioners. Given the sensitive nature of the field, researcher interaction biases are of particular concern for business ethics researchers regardless of their preference for survey, experimental, or qualitative methodology. Whereas some ethics researchers may inadvertently bias data by misrecording or misinterpreting responses, other biases may occur when study participants’ responses are systematically influenced by the mere introduction of researchers into the participants’ environment. Although substantial empirical research has been conducted on the general topic of researcher interaction biases, none has focused specifically on business ethics research. In order to remedy this lack of empirical substantiation in the field, we review the related literature on researcher interaction biases, present an empirical example of how such biases can influence research results in an experiment assessing reactions to insurance fraud, and discuss the implications for business ethics research.