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Causal Inference in Urban and Regional Economics

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

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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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 20535.

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Date of creation: Oct 2014
Handle: RePEc:nbr:nberwo:20535
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