Human capital heterogeneity of the unemployed and jobless recoveries

The jobless recovery enigma remains largely unsolved. As a special case of broader unemployment, the term “jobless recovery” describes an economic recovery where output recovers—and even expands—yet employment growth remains anemic. While the effects of these prolonged recoveries are significant—from increased crime to a lifetime reduction in wages—they are not well understood. Building on the insights of labor market matching models that incorporate heterogeneity among workers, this paper sheds light on jobless recoveries, developing a first-of-its-kind index of human capital heterogeneity for the unemployed, and testing that index using of a Structural Vector Autoregression. I demonstrate that the extent to which unemployed human capital is heterogeneous and specific, rather than homogeneous and general, plays a key and under-appreciated role in the labor market; increases in human capital heterogeneity can account for between one-quarter to three-quarters of the joblessness of the past three recoveries in the pre-COVID era.     

金融结构对高技术产业发展的影响——基于上海市的数据

运用SVAR模型,选取1995—2012年上海金融结构与高技术产业发展的时间序列数据,使用脉冲响应和方差分解对金融结构与高技术产业发展各指标动态关系进行实证分析,结果表明：上海市直接融资（市场导向型金融结构）和间接融资（银行导向型金融结构）对高技术产业发展的影响具有滞后性,二者均没有起到长期稳定的支持作用;在时滞期内,直接融资虽然最终具有正向作用,但整体来看其负向作用要大于正向作用,间接融资则一直具有正向作用。