Agglomeration Economics (Google eBook)
Edward L. Glaeser
University of Chicago Press, Apr 15, 2010 - Business & Economics - 376 pages
When firms and people are located near each other in cities and in industrial clusters, they benefit in various ways, including by reducing the costs of exchanging goods and ideas. One might assume that these benefits would become less important as transportation and communication costs fall. Paradoxically, however, cities have become increasingly important, and even within cities industrial clusters remain vital.
Agglomeration Economics brings together a group of essays that examine the reasons why economic activity continues to cluster together despite the falling costs of moving goods and transmitting information. The studies cover a wide range of topics and approach the economics of agglomeration from different angles. Together they advance our understanding of agglomeration and its implications for a globalized world.
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1 Estimating Agglomeration Economies with History Geology and Worker Effects
Facts and Theories
An Empirical Investigation
5 Urbanization Agglomeration and Coagglomeration of Service Industries
Demographics and Retail Product Geography
7 Understanding Agglomerations in Health Care
aﬀect agglomeration economies amenities analysis average beneﬁts census tract chapter cities coagglomeration coeﬃcients column commute controls correlation decline deﬁned diﬀerent diﬀerentiated direct trade distribution dummy Duranton elasticity employment density endogenous EOL spending equation estimate ethnic inventors ﬁgure ﬁnd ﬁndings ﬁrms ﬁrst ﬁve ﬁxed eﬀects Glaeser grid groups Hispanic hospital hospital’s house price growth income increase innovative sector inputs Instrumental variable instruments knowledge spillovers labor market pooling labor pooling log population market potential measure metropolitan areas miles MSAs NAICS neighbors oﬀer Oﬃce output p-value panel patents patterns percent level population density productivity proﬁts reﬂect regions regression relative Rosenthal and Strange services industries share signiﬁcant similar spatial concentration speciﬁcation squares standard errors statistics superstar TFP3 TSLS tion Tobit models transport costs U.S. Census Bureau United Urban Economics variation wages workers zip code Zipf’s law