This paper justifies the evolution of the college admissions system in China from a mechanism design perspective. The sequential choice algorithm and the parallel choice algorithm used in the context of China's college admissions system are formulated as the well-studied Boston mechanism and the...

Due to its relatively low cost, high hydrogen yield, and environmentally friendly hydrolysis byproducts, magnesium hydride (MgH₂) appears to be an attractive candidate for hydrogen generation. However, the hydrolysis reaction of MgH₂ is rapidly inhibited by the formation of a magnesium hydroxide...

This research aims at exploring the differences in the effects of environment on entrepreneurship growth between state-owned enterprises and private businesses. Through executive investigation, reasons are provided for better performance of private businesses. Environmental factors, including...

Using bank level measures of competition and co-dependence, the authors show a robust positive relationship between bank competition and systemic stability. Whereas much of the extant literature has focused on the relationship between competition and the absolute level of risk of individual...

One of the fundamental econometric models in finance is predictive regression. The standard least squares method produces biased coefficient estimates when the regressor is persistent and its innovations are correlated with those of the dependent variable. This article proposes a general and...

This paper justifies the evolution of the college admissions system in China from a mechanism design perspective. The sequential choice algorithm and the parallel choice algorithm used in the context of China's college admissions system are formulated as the well-studied Boston mechanism and the...

This paper justifies the evolution of the college admissions system in China from a mechanism design perspective. The sequential choice algorithm and the parallel choice algorithm used in the context of China’s college admissions system are formulated as the well-studied Boston mechanism and...

We consider quantile regression models and investigate the induced smoothing method for obtaining the covariance matrix of the regression parameter estimates. We show that the difference between the smoothed and unsmoothed estimating functions in quantile regression is negligible. The detailed...