G2TT
来源类型Discussion paper
规范类型论文
来源IDDP14000
DP14000 Cognitive Hubs and Spatial Redistribution
Esteban Rossi-Hansberg; Pierre-Daniel Sarte; Felipe Schwartzman
发表日期2019-09-17
出版年2019
语种英语
摘要In the U.S., cognitive non-routine (CNR) occupations associated with higher wages are disproportionately represented in larger cities. To study the allocation of workers across cities, we propose and quantify a spatial equilibrium model with multiple industries that employ CNR and alternative (non-CNR) occupations. Productivity is city-industry-occupation specific and partly determined by externalities across local workers. We estimate that the productivity of CNR workers in a city depends significantly on both its share of CNR workers and total employment. Together with heterogeneous preferences for locations, these externalities imply equilibrium allocations that are not efficient. An optimal policy that benefits workers equally across occupations incentivizes the formation of cognitive hubs, leading to larger fractions of CNR workers in some of today's largest cities. At the same time, these cities become smaller to mitigate congestion effects while cities that are initially small increase in size. Large and small cities end up expanding industries in which they already concentrate, while medium-size cities tend to diversify across industries. The optimal allocation thus features transfers to non-CNR workers who move from large to small cities consistent with the implied change in the industrial composition landscape. Finally, we show that the optimal policy reinforces equilibrium trends observed since 1980. However, these trends were in part driven by low growth in real-estate productivity in CNR-abundant cities that reduced welfare.
主题International Trade and Regional Economics
URLhttps://cepr.org/publications/dp14000
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542882
推荐引用方式
GB/T 7714
Esteban Rossi-Hansberg,Pierre-Daniel Sarte,Felipe Schwartzman. DP14000 Cognitive Hubs and Spatial Redistribution. 2019.
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