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Causal Inference in Urban and Regional Economics

Listed author(s):
  • Baum-Snow, Nathaniel
  • Ferreira, Fernando

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.

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This chapter was published in:
  • Gilles Duranton & J. V. Henderson & William C. Strange (ed.), 2015. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 5, number 5.
  • This item is provided by Elsevier in its series Handbook of Regional and Urban Economics with number 5-3.
    Handle: RePEc:eee:regchp:5-3
    DOI: 10.1016/B978-0-444-59517-1.00001-5
    Contact details of provider: Web page: http://www.elsevier.com/wps/find/bookseriesdescription.cws_home/BS_HE/description

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