Same same but different? Comparing institutional performance in the long-term care systems of Japan and South Korea

Responding to a rapidly aging population, Japan and South Korea introduced social insurance-based long-term care systems (LTCSs) in 2000 and 2008, respectively. Korea studied and took up key features of Japan's system while evolving along its own trajectory in line with its healthcare system. The aim of the present study is to unpack the broad category of ‘social insurance’ to explore how distinct system inputs and designs in Korea and Japan related to outcomes in performance measured in terms of coverage, quality of care, and sustainability. In doing so, the study serves as an important starting point for advancing a new stream of social policy research on the comparative performance of LTCSs. Our findings demonstrate that despite adopting a common system type, differences in implementation of the social insurance model (particularly in terms of financing and governance) contributed to divergent performance, with Japan outperforming Korea on most indicators during the observed period. This bears contrary implications for policymaking in the two countries: Whereas Japanese policymakers are faced with the challenge of promoting quality while containing spending, in Korea greater investment is required to strengthen the workforce and build up community care.     

Parameter and quantile estimation for the three-parameter gamma distribution based on statistics invariant to unknown location

The three-parameter gamma distribution is widely used as a model for distributions of life spans, reaction times, and for other types of skewed data. In this paper, we propose an efficient method of estimation for the parameters and quantiles of the three-parameter gamma distribution, which avoids the problem of unbounded likelihood, based on statistics invariant to unknown location. Through a Monte Carlo simulation study, we then show that the proposed method performs well compared to other prominent methods in terms of bias and mean squared error. Finally, we present two illustrative examples.     

A consistent method of estimation for the three-parameter lognormal distribution based on Type-II right censored data

ABSTRACT

In this paper, we propose a parameter estimation method for the three-parameter lognormal distribution based on Type-II right censored data. In the proposed method, under mild conditions, the estimates always exist uniquely in the entire parameter space, and the estimators also have consistency over the entire parameter space. Through Monte Carlo simulations, we further show that the proposed method performs very well compared to a prominent method of estimation in terms of bias and root mean squared error (RMSE) in small-sample situations. Finally, two examples based on real data sets are presented for illustrating the proposed method.     

Recent Trends of Emigration from China: 1982–2000

Using data from several Chinese censuses and surveys, we provide a new perspective for the study of international migration. Focusing on the trends of international migration from China and Fujian province between 1982 and 2000, several findings emerge. First, Fujian and Yunnan provinces became the leading immigrant‐sending provinces in China by 2000. Second, changes in socio‐economic selectivity among emigrants from Fujian province from 1990 to 1995 are also clearly revealed in our analysis. The shift from urbanites to rural peasants among the emigrant population is particularly noteworthy. Third, in the context of Fujian province, factors such as age, education, rural/urban status, and occupation (especially the service sector) are the most important predictors of emigration. The paper ends with a discussion of the prospects of assimilation of Fujianese immigrants in destination societies.     

DO NATURAL DISASTERS PROMOTE LONG‐RUN GROWTH?

In this article, we investigate the long-run relationships among disasters, capital accumulation, total factor productivity, and economic growth. The cross-country empirical analysis demonstrates that higher frequencies of climatic disasters are correlated with higher rates of human capital accumulation, increases in total factor productivity, and economic growth. Though disaster risk reduces the expected rate of return to physical capital, risk also serves to increase the relative return to human capital. Thus, physical capital investment may fall, but there is also a substitution toward human capital investment. Disasters also provide the impetus to update the capital stock and adopt new technologies, leading to improvements in total factor productivity.     

An Efficient Method of Parameter and Quantile Estimation for the Three-Parameter Weibull Distribution Based on Statistics Invariant to Unknown Location Parameter

The three-parameter Weibull distribution is widely used in life testing and reliability analysis. In this article, we propose an efficient method for the estimation of parameters and quantiles of the three-parameter Weibull distribution, which avoids the problem of unbounded likelihood, by using statistics invariant to unknown location. Through a Monte Carlo simulation study, we show that the proposed method performs well compared to other prominent methods based on bias and MSE. Finally, we present two illustrative examples.     

A Consistent Method of Estimation For The Three-Parameter Gamma Distribution

For the three-parameter gamma distribution, it is known that the method of moments as well as the maximum likelihood method have difficulties such as non-existence in some range of the parameters, convergence problems, and large variability. For this reason, in this article, we propose a method of estimation based on a transformation involving order statistics from the sample. In this method, the estimates always exist uniquely over the entire parameter space, and the estimators also have consistency over the entire parameter space. The bias and mean squared error of the estimators are also examined by means of a Monte Carlo simulation study, and the empirical results show the small-sample superiority in addition to the desirable large sample properties.     

Pattern-based ILP models for the one-dimensional cutting stock problem with setup cost

Journal of Combinatorial Optimization - The one-dimensional cutting stock problem with setup cost (CSP-S) is a cutting problem that seeks a cutting plan with a minimum number of objects and a...