Chapter 1. Causal Inference in Urban and Regional Economics

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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Year of publication:	2015
Authors:	Baum-Snow, Nathaniel ; Ferreira, Fernando
Published in:	Handbook of regional and urban economics : volume 5. - Amsterdam, The Netherlands : North Holland, ISBN 978-0-444-59539-3. - 2015, p. 3-68
Subject:	Casual inference \| Urban economics \| Regional economics \| Research design \| Empirical methods \| Treatment effects \| Kausalanalyse \| Causality analysis \| Stadtökonomik \| Theorie \| Theory \| Empirische Methode \| Empirical method \| Regionalökonomik \| Regionalwissenschaft \| Regional science

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Type of publication:	Article
Language:	English
Other identifiers:	10.1016/B978-0-444-59517-1.00001-5 [DOI]
Classification:	R1 - General Regional Economics
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014025318