- Monetary Policy and Economic Impact
- Global trade and economics
- Economic Growth and Productivity
- Energy, Environment, Economic Growth
- Market Dynamics and Volatility
- Spatial and Panel Data Analysis
- International Business and FDI
- Firm Innovation and Growth
- Efficiency Analysis Using DEA
- Statistical Methods and Inference
- Innovation Policy and R&D
- Financial Risk and Volatility Modeling
- Housing Market and Economics
- Fiscal Policy and Economic Growth
- Statistical Methods and Bayesian Inference
- Regional Economic and Spatial Analysis
- Regional Economics and Spatial Analysis
- Bayesian Methods and Mixture Models
- Control Systems and Identification
- Global Financial Crisis and Policies
Capital University of Economics and Business
2020-2025
West Virginia University
2018
Abstract Recently, there has been a surge in interest exploring how common macroeconomic factors impact different economic results. We propose semiparametric dynamic panel model to analyze the of regressors on conditional distribution dependent variable (global output growth our case). Our allows mean, variance, and skewness be influenced by regressors, whose effects can nonlinear time-varying driven contextual variables. By incorporating structures individual unobserved heterogeneity, we...
Abstract We distinguish the effects of export on labour share into a stand‐alone direct effect and indirect effects, which alter marginal impact three key determinants found in literature. While has been extensively studied, potential remain unexplored. investigate both exports using micro‐level Chinese firm‐level data from 1998 to 2007. employ fixed‐effect varying coefficient model reveal nonlinearity while alleviating risk mis‐specification. Our is estimated by spline‐backfitted kernel...
We investigated the excessive external financing problem in Chinese industrial firms by examining potential threshold effect of leverage ratio on total factor productivity firms. hypothesized existence a turning point at which these is maximized, and this may vary firm ownership type. To test our hypotheses, we proposed nonparametric panel regression model. From modeling perspective, approach contributes to literature allowing variable be endogenous, accounting for unobserved...
We propose a nonparametric test of significant variables in the partial derivative regression mean function. The is estimated by local polynomial estimation and statistic constructed through variation-based measure direction interest. establish asymptotic null distribution demonstrate that it consistent. Motivated distribution, we wild bootstrap test, show exhibits same whether valid or not. perform Monte Carlo study to its encouraging finite sample performance. An empirical application...
We show that US financial uncertainty has nonlinear spillover effects on the conditional distribution of forecasted GDP growth worldwide. This nonlinearity stems from asymmetric responses domestic and international credit conditions following a shock. Through channel, market participants' pessimistic expectations regarding future economic amplify tightening effect considerably, leading to severe global slowdown. Moving beyond conventional paradigm examine central tendency projection, we...