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Estimating Neighborhood Effects: Evidence from War-time Destruction in London

Author

Listed:
  • Stephen J. Redding

    (Princeton University)

  • Daniel M. Daniel

    (London School of Economics)

Abstract

We use Second World War destruction in London as a natural experiment to provide evidence on neighborhood effects. We use a newly-collected and remarkable dataset on thousands of locations within London that records wartime destruction and the economic and social characteristics of locations from the late nineteenth to late-twentieth centuries. We combine these data with a quantitative model of the sorting of heterogeneous groups of agents across locations that differ in productivity, amenities and transport infrastructure. We find that both own and neighbors' destruction affect patterns of spatial sorting and that the effects of neighbors' destruction are highly localized (0-200 meters). These findings provide evidence for spatial sorting as a mechanism through which neighborhood effects occur.

Suggested Citation

  • Stephen J. Redding & Daniel M. Daniel, 2016. "Estimating Neighborhood Effects: Evidence from War-time Destruction in London," Working Papers 2016-6, Princeton University. Economics Department..
  • Handle: RePEc:pri:econom:2016-6
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    File URL: http://www.princeton.edu/~reddings/papers/LWW2-9Mar16.pdf
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    References listed on IDEAS

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    Cited by:

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    2. Fetzer, Thiemo, 2023. "Regulatory barriers to climate action : Evidence from Conservation Areas in England," The Warwick Economics Research Paper Series (TWERPS) 1451, University of Warwick, Department of Economics.
    3. Nagy, Dávid Krisztián, 2022. "Quantitative economic geography meets history: Questions, answers and challenges," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    4. Hanlon, W.Walker & Heblich, Stephan, 2022. "History and urban economics," Regional Science and Urban Economics, Elsevier, vol. 94(C).
    5. Marcos Sanso-Navarro & Guillermo Peña, 2023. "Long-run effects of floods at municipality level in Spain," French Stata Users' Group Meetings 2023 29, Stata Users Group.
    6. Combes, Pierre-Philippe & Gobillon, Laurent & Zylberberg, Yanos, 2022. "Urban economics in a historical perspective: Recovering data with machine learning," Regional Science and Urban Economics, Elsevier, vol. 94(C).

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    More about this item

    Keywords

    Agglomeration Economies; Cities; Neighborhood effects; Second World War;
    All these keywords.

    JEL classification:

    • F16 - International Economics - - Trade - - - Trade and Labor Market Interactions
    • N9 - Economic History - - Regional and Urban History
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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