Convergence: A Story of Quantiles and Spillovers
结合空间计量和面板分位数回归，重新分析跨国经济趋同，发现初始人均收入等变量对增长率的影响在不同分位数上差异显著，且内生空间权重矩阵会大幅改变趋同估计结果。
Summary In this paper, we revisit the analysis of cross‐country convergence by combining spatial econometrics and panel quantile regressions to estimate conditional β ‐convergence models. Moreover, we use both exogenous and endogenous weight matrices. Our results show that indeed the effects of initial per capita income, investment rate, population growth and human capital on growth rates vary considerably across the estimated quantiles. Convergence is not a generalized phenomenon across the conditional growth distribution. Moreover, while using exogenous spatial weight matrices does not substantially alter the findings found in a‐spatial models, it appears that endogenous weights dramatically affect the estimates of the convergence process.