A saddlepoint approximation to the distribution of the sum of independent non‐identically uniform random variables

Calculating the probability of the corresponding significance point is important for finite sample sizes. However, it is difficult to evaluate this probability when the sample sizes are moderate to large. Under these circumstances, consideration of a more accurate approximation for the distribution function is extremely important. Herein, we performed a saddlepoint approximation in the upper tails for the distribution of the sum of independent non‐identically uniform random variables under finite sample sizes. Saddlepoint approximation results were compared with those for a normal approximation. Additionally, the order of errors of the saddlepoint approximation was derived. © 2014 The Authors. Statistica Neerlandica © 2014 VVS.     

Subsidy competition and imperfect labor markets

This study presents a two‐country model of subsidy competition for manufacturing firms under labor market imperfections. Because subsidies affect the distribution of firms, subsidies influence unemployment rates and welfare in both countries. We show that when labor market frictions are high, subsidy competition is beneficial, although subsidies under subsidy competition are inefficiently high. In the coordinated equilibrium, the supranational authority provides a subsidy to firms that equal the expected total search costs, which increases the number of firms relative to laissez‐faire and improves welfare relative to laissez‐faire and subsidy competition. Finally, we find that a rise in a country's labor market frictions raises the equilibrium subsidy rate, affects unemployment rates, and lowers welfare.     

Regional patterns of employment changes of less-educated men in Japan: 1990–2007

We investigate regional patterns in employment of less-educated men in Japan from 1990 to 2007. The employment–population ratio of junior high school graduate men (9 years of compulsory schooling) decreased from 1990 to 2007. Wage growth across regions had a unique pattern during this period: it was high in the low-wage regions in the 1990s but high in the high-wage regions in the 2000s. We use these regional variations in wage growth to identify the labor supply elasticity of less-educated men. The estimated elasticity of the employment-to-population ratio of junior high school graduate men is around 0.15.     

The role of schedule delays on passengers’ choice of access modes: A case study of Japan’s international hub airports

We empirically study passenger modal-choice behavior to access an international hub airport, by using stated preference (SP) data and by constructing a binomial logit model. We found that passenger modal choice is affected by the service level of the access modes: travel time, travel cost, waiting time, and delay cost. The results also indicate that if passengers choose access mode in advance they consider service frequency: departure timing from home, and the arrival timing at the airport. Moreover, our results indicate that travelers’ willingness to pay for saving time differs by time of a day. They are apt to pay more in the morning than in the afternoon. These outcomes must contribute to improve the access flight service from local to hub airports to handle the needs of passengers.     

A Comparison of Wage Structures in the United States and Japan: Results from Cell Mean Regressions

This paper discusses three issues in estimating wage regressions by using the aggregated data from the Japanese Basic Survey of Wage Structure (BSWS). The issues include: (1) the order of taking averages and logs, (2) the usage of differently aggregated tables in the BSWS, (3) the treatment of the bonus variable for workers who have just joined a firm. To address them, I present regression results from the US Current Population Survey (CPS). I find that using differently aggregated tables sometimes affects the estimates significantly. I also present the results from wage regressions from the differently aggregated BSWS data.
JEL Classification Number: J30.     

Development and application of a new methodology of evaluating industrial R&D projects

This paper proposes a new methodology of evaluating industrial R&D projects to assess the effectiveness of future R&D in terms of financial credibility, to prioritize them efficiently by clear criteria to reduce the time and burden consumed by both project leaders and management staffs. A new methodology has been developed and applied to all Sumitomo Electric Industries (SEI) R&D projects, and is recognized as a useful system for evaluating many R&D projects in a short period, such as 150 projects per month.     

EMPIRICAL ANALYSIS OF INTER‐FIRM RIVALRY BETWEEN JAPANESE FULL‐SERVICE AND LOW‐COST CARRIERS

This paper empirically analyzes dynamic change in inter‐firm rivalry between Japanese low‐cost carriers (LCC) and full‐service carriers, and deduces the dynamic change in consumer surplus after an LCC enters a market. Our findings are that: (i) the conduct parameters of LCC and reacting full‐service carriers were extraordinarily low when competition started; (ii) the conduct parameters were restored to, or even exceeded, the pre‐entry level in the third year of LCC entry; and (iii) gains in total welfare were recognized for five of the nine markets, whereas in three markets only the airline industry benefited, and in one market, total welfare decreased.     

Peliosis of the spleen with intraperitoneal hemorrhage

We encountered a patient with steroidrelated peliosis of the spleen, a rare disease characterized by multiple blood-filled cavities in the splenic parenchyma, with spontaneous intraperitoneal hemorrhage. The ultrasonographic, computed tomographic, and angiographic images were compared with pathologic findings of the material obtained surgically.     

Social Network Rebuilder: A Tool to Estimate a Social Network of Financial Crisis Propagation

The objective of this paper is to find a new method to estimate real social networks based on observed data collected by questionnaire surveys. Studies on social networks have been increasing in order to analyze social phenomena from a micro viewpoint. Most social phenomena can be explained by micro-level interactions among people. Spread of rumor and pandemics are typical example of micro interaction? However, there has not been much work on an analysis of real social networks based on observed data. This study tries to establish a methodology that exploits a genetic algorithm to rebuild a social network based on the data observed indirectly from real social networks. This paper introduces our proposed method, which allows us to rebuild a social network to some extent from degree distributions of a target real social network.