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The productivity advantages of large cities: distinguishing agglomeration from firm selection

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TLDR
In this paper, a generalised version of a tractable firm selection model and a standard model of agglomeration were used to show that firm selection cannot explain spatial productivity differences.
Abstract
Firms are more productive on average in larger cities. Two main explanations have been offered: firm selection (larger cities toughen competition, allowing only the most productive to survive) and agglomeration economies (larger cities promote interactions that increase productivity), possibly reinforced by localised natural advantage. To distinguish between them, we nest a generalised version of a tractable firm selection model and a standard model of agglomeration. Stronger selection in larger cities left-truncates the productivity distribution whereas stronger agglomeration right-shifts and dilates the distribution. Using this prediction, French establishment level data, and a new quantile approach, we show that firm selection cannot explain spatial productivity differences. This result holds across sectors, city size thresholds, establishment samples, and area definitions.

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Market Size, Trade, and Productivity

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The revenge of the places that don’t matter (and what to do about it)

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The magnitude and causes of agglomeration economies

TL;DR: The authors found that firms and workers are much more productive in large and dense urban environments than in small and rural areas. But more needs to be learned about the causes of agglomeration economies.
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Urbanization with and without industrialization

TL;DR: In this article, a strong positive relationship between natural resource exports and urbanization in a sample of 116 developing nations over the period 1960-2010 was found. But, although the development literature often assumes that urbanization is synonymous with industrialization, patterns differ markedly across developing countries.
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Learning by working in big cities

TL;DR: In this paper, the authors consider three reasons: spatial sorting of initially more productive workers, static advantages from workers' current location, and learning by working in bigger cities and find that workers in big cities do not have higher initial ability as reflected in fixed effects.
References
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Report SeriesDOI

Initial conditions and moment restrictions in dynamic panel data models

TL;DR: In this paper, two alternative linear estimators that are designed to improve the properties of the standard first-differenced GMM estimator are presented. But both estimators require restrictions on the initial conditions process.
Book

Principles of Economics

TL;DR: In this article, the authors present a survey of the general relations of demand, supply, and value in terms of land, labour, capital, and industrial organization, with an emphasis on the fertility of land.
Journal ArticleDOI

The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity

TL;DR: This paper developed a dynamic industry model with heterogeneous firms to analyze the intra-industry effects of international trade and showed how the exposure to trade will induce only the more productive firms to enter the export market (while some less productive firms continue to produce only for the domestic market).
Journal ArticleDOI

Power-Law Distributions in Empirical Data

TL;DR: This work proposes a principled statistical framework for discerning and quantifying power-law behavior in empirical data by combining maximum-likelihood fitting methods with goodness-of-fit tests based on the Kolmogorov-Smirnov (KS) statistic and likelihood ratios.
Posted Content

The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity

TL;DR: In this paper, a dynamic industry model with heterogeneous firms is proposed to explain why international trade induces reallocations of resources among firms in an industry and contributes to a welfare gain.