Using Chinese city-level data from 1999 to 2012 and considering geological, environmental, and social diversity, this study suggests that credit plays a significant role in driving up house prices after the Great Recession, whereas property prices only influence bank lending before 2008....

Based on Chinese city-level data from 1999 to 2012 and controlling for geological, environmental, and social diversity, this study suggests that credit plays a significant role in driving up house prices after the Great Recession, whereas property prices only influence bank lending before 2008....

We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in a high dimensional setting. The setting allows the number of time varying regressors to be larger than the sample size. To make informative estimation and inference feasible,...

We consider estimation and inference in panel data models with additive unobserved individual specific heterogeneity in a high dimensional setting. The setting allows the number of time varying regressors to be larger than the sample size. To make informative estimation and inference feasible,...

We show that the quantile regression estimator is consistent and asymptotically normal when the error terms are correlated within clusters but independent across clusters. A consistent estimator of the covariance matrix of the asymptotic distribution is provided and we propose a speci?cation...

Abstract We study the properties of the quantile regression estimator when data are sampled from independent and identically distributed clusters, and show that the estimator is consistent and asymptotically normal even when there is intra-cluster correlation. A consistent estimator of the...

This paper investigates whether bond, issuer, industry and macro-specific variables account for the observed variation of credit spreads’ changes of global shipping bond issues before and after the onset of the subprime financial crisis. Results show that conclusions as to the significant...