This paper presents a stochastic population forecast for China with a special emphasis on population aging. Stochastic forecasting methods have the advantage of producing a projection of the future population including a probabilistic prediction interval. The socalled scaled model for error was...

The present study investigates the relationship between subjective well-being (SWB) and mortality risk, using a large sample (N=7852) from the Chinese Longitudinal Healthy Longevity Study (age range 80-105) conducted in 2000 and 2002. Initially, we intended to contribute to the understanding of...

Quantum strategies are introduced into evolutionary games. The agents using quantum strategies are regarded as invaders, whose fraction generally is 1% of a population, in contrast to the 50% of the population that are defectors. In this paper, the evolution of strategies on networks is...

By using the software SAS9.2 and the relevant data of consumption level of rural residents in China from 1952 to 2008, the ARIMA model is established. The model is used to analyze and forecast the time series of the consumption level of Chinese rural residents. The results show that in the near...

This paper examines the emergence of labour markets in China through the lens of returns to rural education. It demonstrates that methodology plays an important role in explaining the low estimates of returns in previous studies. When wages are defined on an hourly basis and sample selectivity...

This paper proposes a new explanation for Zipf’s law often observed in the top tail of city size distribution. We show that Zipf’s law can emerge if city size can be expressed as a product of multiple random factors. Each of the factors need not generate Zipf’s law by itself. The key...

This paper proposes a new model generating city size distributions that asymptotically follow the log-normal distribution. The log-normal distribution is consistent with Zipf’s law in the top tail, which is known to hold for many countries in different periods. The key feature of our model is...

Peer effect is a potential determinant of individual weight gain that has drawn considerable attention recently. The presence of peer effect implies that policies targeted at changing bodyweight can have enhanced effectiveness through a multiplier effect.