论文题目：Input-Output Networks and Misallocation

主讲人：杭静

讲座时间：10月12日（周一）上午10:00-11:30

讲座地点：经管院B224

主办单位：武汉大学中国与全球化研究中心、武汉大学经济与管理学院数理经济与数理金融系

讲座内容：

This paper develops a comparative framework for studying the macroeconomic costs of resource misallocation. The framework enables the assessment of the conditions under which the existing estimates in the misallocation literature, which are largely based on a value-added production structure and ignore inter-sectoral linkages, provide an unbiased estimate of a misallocation costs in relation to a more general setting, in which production of gross output relies upon input-output linkages across sectors. We show that in the absence of intermediate input distortions, the two approaches are isomorphic and will yield the same estimates of firms’ productivity and underlying distortions. When firm specific intermediate input distortions are present, however, the value-added model is incorrectly specified and will generally bias inference of firms’ productivity and distortions. Using Chinese and Indian manufacturing enterprise data, estimation based on the value-added and gross output models yields similar TFP gains from removing distortions for China, while the estimated TFP gain is significantly larger for India when the output model is used.

主讲人简介：

杭静，2018年于加州大学洛杉矶（UCLA）获得经济学博士学位后就职于中山大学岭南学院，其研究兴趣在于理解资源错配和产业结构转型在经济发展中的作用，部分研究发表于《经济研究》，《经济学（季刊）》等杂志。