Causal Inference in Urban and Regional Economics

84 Pages Posted: 6 Oct 2014

See all articles by Nathaniel Baum-Snow

Nathaniel Baum-Snow

University of Toronto - Rotman School of Management

Fernando V. Ferreira

University of Pennsylvania - The Wharton School

Date Written: October 2014

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 and Ferreira, Fernando V., Causal Inference in Urban and Regional Economics (October 2014). NBER Working Paper No. w20535, Available at SSRN: https://ssrn.com/abstract=2505835

Nathaniel Baum-Snow (Contact Author)

University of Toronto - Rotman School of Management ( email )

105 St. George Street
Toronto, Ontario M5S 3E6 M5S1S4
Canada

Fernando V. Ferreira

University of Pennsylvania - The Wharton School ( email )

3641 Locust Walk
Philadelphia, PA 19104-6365
United States
215-898-7181 (Phone)
215-573-2220 (Fax)

HOME PAGE: http://real.wharton.upenn.edu/~fferreir/

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
23
Abstract Views
369
PlumX Metrics