2014
DOI: 10.3386/w20535
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Causal Inference in Urban and Regional Economics

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… Show more

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Cited by 21 publications
(20 citation statements)
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“…This should moderate the issue as households need time to move as well as to adjust housing characteristics to the new tax differential (Baum-Snow and Ferreira, 2014). It is unlikely that the population composition featured discontinuities in the absence of municipal boundaries and natural irregularities as the costs of social interactions are a smooth function of distance.…”
Section: Endogeneity Of Municipality Boundaries and Taxesmentioning
confidence: 99%
“…This should moderate the issue as households need time to move as well as to adjust housing characteristics to the new tax differential (Baum-Snow and Ferreira, 2014). It is unlikely that the population composition featured discontinuities in the absence of municipal boundaries and natural irregularities as the costs of social interactions are a smooth function of distance.…”
Section: Endogeneity Of Municipality Boundaries and Taxesmentioning
confidence: 99%
“…3 The agglomeration of firms can assume two forms: clustering or colocation of several firms that belong to the same industry and clustering of many firms that belong to many different types of industries. The former may cause localisation economies, but the latter is expected to bring about urbanisation economies, where diversity and size of demand are essential features (Johansson 2004). clear that the interpretation of average differences in outcomes between treatment and control groups as treatment effects requires that the strong hypothesis of no direct or indirect influence of the treatment of one observation on outcomes of control observations must hold (e.g., Baum-Snow and Ferreira 2015). Recent studies can be split into two categories: those focusing on the plausibility of the SUTVA and those focusing on the methods for dealing with the impact evaluation of incentives in presence of spillovers.…”
Section: The Previous Literature On Industrial Policies' Spilloversmentioning
confidence: 99%
“…Recent studies can be split into two categories: those focusing on the plausibility of the SUTVA and those focusing on the methods for dealing with the impact evaluation of incentives in presence of spillovers. In the first category, the emphasis is largely placed on procedures that can minimise the possibility of SUTVA violations, like spatial aggregation, when spillovers occur between spatially proximate geographic units with different levels of treatment, as described in Baum-Snow and Ferreira (2015) or by exclusion of surrounding areas that are more inclined to spillover effects, as in Kline and Moretti (2014 The studies just presented make use of local areas as units, i.e. they try to evaluate the macro effects of a regional policy.…”
Section: The Previous Literature On Industrial Policies' Spilloversmentioning
confidence: 99%
“…This section examines these various strategies. The reader may also refer to the chapter by Baum-Snow and Ferreira (2015) for additional considerations on causality.…”
Section: Dealing With Endogenous Local Determinantsmentioning
confidence: 99%