Causal Inference in Urban and Regional Economics

Nathaniel Baum-Snow and Fernando Ferreira

No 20535, NBER Working Papers from National Bureau of Economic Research, Inc

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.

JEL-codes: R0 (search for similar items in EconPapers)
Date: 2014-10
New Economics Papers: this item is included in nep-geo and nep-ure
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Citations: View citations in EconPapers (17)

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Chapter: Causal Inference in Urban and Regional Economics (2015)
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