A framework for separating individual treatment effects from spillover, interaction, and general equilibrium effects
Martin Huber () and
Andreas Steinmayr ()
No 481, FSES Working Papers from Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland
This paper suggests a causal framework for disentangling individual level treatment effects and interference effects, i.e., general equilibrium, spillover, or interaction effects related to treatment distribution. Thus, the framework allows for a relaxation of the Stable Unit Treatment Value Assumption (SUTVA), which assumes away any form of treatment-dependent interference between study participants. Instead, we permit interference effects within aggregate units, for example, regions or local labor markets, but need to rule out interference effects between these aggregate units. Borrowing notation from the causal mediation literature, we define a range of policy-relevant effects and formally discuss identification based on randomization, selection on observables, and difference-in-differences. We also present an application to a policy intervention extending unemployment benefit durations in selected regions of Austria that arguably affected ineligibles in treated regions through general equilibrium effects in local labor markets.
Keywords: treatment effect; general equilibrium effects; spillover effects; interaction effects; interference effects; inverse probability; weighting; propensity score; mediation analysis; difference-in-differences (search for similar items in EconPapers)
JEL-codes: C21 C31 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-ecm and nep-ure
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Working Paper: A Framework for Separating Individual Treatment Effects from Spillover, Interaction, and General Equilibrium Effects (2017)
Working Paper: A Framework for Separating Individual Treatment Effects From Spillover, Interaction, and General Equilibrium Effects (2017)
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