The downturn in the world economy following the global banking crisis has left the Chinese economy relatively unscathed. This paper develops a model of the Chinese economy using a DSGE framework with a banking sector to shed light on this episode. It differs from other applications in the use of...

Within the independent private value paradigm, this note first analyzes two-round sequential first-price auctions with multi-unit demand. We show that the expected price in the first round is strictly lower than that in the second round due to the “extraction effect”. We then compare the...

According to a frequently cited finding by Berger et al (1993), X-inefficiency contributes 20% to cost-inefficiency in western banks. Empirical studies of Chinese banks tend to place cost-inefficiency in the region of 50%. Such estimates would suggest that Chinese banks suffer from gross cost...

This paper proposes weighted method of moments for estimating over-identified moment condition models. Weighted method of moments is asymptotically equivalent to, but may have better finite sample properties than generalized method of moments and empirical likelihood.

A wide range of econometric and statistical models are specified through moment conditions. Efficient estimation of such models essentially employs two distinct ideas: optimally combining estimation equations (e.g., the optimal estimating equations of Godambe (1976), the generalized method of...

According to a frequently cited finding by Berger et al (1993), X-inefficiency contributes 20% to cost-inefficiency in western banks. Empirical studies of Chinese banks tend to place cost-inefficiency in the region of 50%. Such estimates would suggest that Chinese banks suffer from gross cost...

Griliches and Hausman 5 and Wansbeek 11 proposed using the generalized method of moments (GMM) to obtain consistent estimators in linear regression models for longitudinal data with measurement error in one covariate, without requiring additional validation or replicate data. For usefulness of...

Model selection (lag order selection and coefficient matrices substructures determination) is an integral part of statistical analysis of vector autoregression (VAR) models. This paper proposes a two-step shrinkage method for VAR model selection. The proposed method can be implemented through a...

We show that the moving averages (MAs) of stock market indices act as psychological barriers. We reveal that market indices do not move continuously near their MAs, especially in markets dominated by unsophisticated investors. Using international data, we find that a stock market index’s MA...