The selection of variables used to predict a time to event outcome is a common and important issue when analyzing survival data. This is an essential step in accurately assessing risk factors in medical and public health studies. Ignoring an important variable in a regression model may result in...

This study aims to reassess the finance-growth nexus debate in China, and consequently illustrate the channels through which financial development gives impact on China’s economic growth after 1978. Specifically, this study addresses two channels through which the effects operate, i.e.,...

This study provides a comprehensive investigation on the mechanisms of risk sharing among China's provinces over the period 1995-2009. Using three empirical techniques, we found that, first, the extent of risk sharing attained by the provinces is relatively limited, and the financial...

The selection of variables used to predict a time to event outcome is a common and important issue when analyzing survival data. This is an essential step in accurately assessing risk factors in medical and public health studies. Ignoring an important variable in a regression model may result in...

This study aims to shed light on the linkage between real side and financial side of Chinese economy. Utilizing a financial social accounting matrix (F-SAM) for China, 2002, newly constructed for this purpose, the current study provides a consistent accounting system for Chinese economy. The...

This paper empirically examines the emergence of financial market fragmentation in China after 1978-reform. It argues that the emergence of financial market fragmentation in China after 1978 is inherent in two salient features of Chinese economic reform, namely, decentralization and gradualism....

This paper uses cointegration procedures to test for agricultural commodity futures market efficiency in the UK. Cointegration between spot and futures prices is a necessary condition for market efficiency where these prices are characterised by stochastic trends (Lai and Lai 1991). In addition,...

Parameter identifiability is very useful if one wishes to make inferences in a statistical model. There are two important nonidentifiabilities in finite mixture models : boundary nonidentifiability and label nonidentifiability. Although parameters are not identifiable in the strict sense, in...