We employ a Bayesian method to estimate a time-varying coefficient version of the de facto currency basket model of Frankel and Wei (2007) for the RMB of China, using daily data from February 2005 to July 2011. We estimate jointly the implicit time-varying weights of all 11 currencies in the...

We employ Bayesian method to estimate a time-varying coefficient version of the de facto currency basket model of Frankel and Wei (2007) for the RMB of China, using daily data from February 2005 to July 2011. We estimate jointly the implicit time-varying weights of all 11 currencies in the...

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There are three systems and applications of fuel cells in China, namely transportation fuel cells, stationary systems and portable fuel cells. It is important for China to analyze the supply and the cost of fuel cells in the context of the energy crisis. After introducing the current situation...

We develop a dynamic model of collusion in airport-pair routes for selected US airlines and specify the first order conditions using a state-space representation that is estimated by Kalman-filtering techniques using the Databank 1A (DB1A) Department of Transportation (DOT) data during the...

This paper estimates the effect of institutions on economic performance using cross-city data from China. We argue that China’s ongoing reforms are part of a long and circuitous historical transition from antiquity to modernity, which started about 150 years ago. Learning from Western...

It is well known that the standard Lagrange multiplier (LM) test loses its local optimality when the true non-null model is not correctly specified. In this paper, we derive a score test robust to local and distributional misspecifications for spatial error autocorrelation and spatial lag...

We measure the correlations between two cities’ real GDP growth rates (a measure of business cycle correlations) to capture the degree of segmentation across China’s provincial and regional borders. This type of segmentation can be caused by local protectionism as well as other...

We show that independently repeated cross-sectional data can reduce the asymptotic bias when instruments are weakly correlated to the endogenous variables. When both N and T go to infinite, we can obtain consistent estimators even if instruments are weak.

We show that when instruments are nearly exogenous, the two stage least squares t-statistic unpredictably over-rejects or under-rejects the null hypothesis that the endogenous regressor is insignificant and Anderson-Rubin test over-rejects the null. We prove that in the limit these tests are no...