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Causal Inference in Urban and Regional Economics

In: Handbook of Regional and Urban Economics

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Listed:
  • Baum-Snow, Nathaniel
  • Ferreira, Fernando

Abstract

Recovery of causal relationships in data is an essential part of scholarly inquiry in the social sciences. This chapter discusses strategies that have been successfully used in urban and regional economics for recovering such causal relationships. Essential to any successful empirical inquiry is careful consideration of the sources of variation in the data that identify parameters of interest. Interpretation of such parameters should take into account the potential for their heterogeneity as a function of both observables and unobservables.

Suggested Citation

  • Baum-Snow, Nathaniel & Ferreira, Fernando, 2015. "Causal Inference in Urban and Regional Economics," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 3-68, Elsevier.
    • Handle: RePEc:eee:regchp:5-3
    DOI: 10.1016/B978-0-444-59517-1.00001-5
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    More about this item

    Keywords

    Casual inference; Urban economics; Regional economics; Research design; Empirical methods; Treatment effects; R1;
    All these keywords.

    JEL classification:

    • R0 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General

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