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Causal Inference in Urban and Regional Economics

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  • Nathaniel Baum-Snow
  • Fernando Ferreira

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

  • Nathaniel Baum-Snow & Fernando Ferreira, 2014. "Causal Inference in Urban and Regional Economics," NBER Working Papers 20535, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:20535
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