Please use this identifier to cite or link to this item:
Title: Unexpected event during surveys design: promise and pitfalls for causal inference
Author: Muñoz Mendoza, Jordi
Falcó Gimeno, Albert
Hernández, Enrique
Keywords: Enquestes socials
Social surveys
Issue Date: 15-Jul-2019
Publisher: Cambridge University Press
Abstract: An increasing number of studies exploit the occurrence of unexpected events during the fieldwork of public opinion surveys to estimate causal effects. In this paper we discuss the use of this identification strategy based on unforeseen and salient events that split the sample of respondents into treatment and control groups: the Unexpected Event during Surveys Design (UESD). In particular we focus on the assumptions under which unexpected events can be exploited to estimate causal effects and we discuss potential threats to identification, paying especial attention to the observable and testable implications of these assumptions. We propose a series of best practices in the form of various estimation strategies and robustness checks that can be used to lend credibility to the causal estimates. Drawing on data from the European Social Survey we illustrate the discussion of this method with an original study of the impact of the Charlie Hebdo terrorist attacks (Paris, 01/07/2015) on French citizens' satisfaction with their national government
Note: Versió postprint del document publicat a:
It is part of: Political Analysis, 2019, vol. 28, num. 2, p. 186-206
Related resource:
ISSN: 1047-1987
Appears in Collections:Articles publicats en revistes (Ciència Política, Dret Constitucional i Filosofia del Dret)

Files in This Item:
File Description SizeFormat 
689771.pdf842.55 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.