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Data for Case selection and causal inferences in qualitative comparative research

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Troeger, Vera, Plümper, Thomas and Neumayer, Eric (2017) Data for Case selection and causal inferences in qualitative comparative research. [Dataset]

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Official URL: https://doi.org/10.7910/DVN/3H5EDP

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Abstract

Traditionally, social scientists perceived causality as regularity. As a consequence, qualitative comparative case study research was regarded as unsuitable for drawing causal inferences since a few cases cannot establish regularity. The dominant perception of causality has changed, however. Nowadays, social scientists define and identify causality through the counterfactual effect of a treatment. This brings causal inference in qualitative comparative research back on the agenda since comparative case studies can identify counterfactual treatment effects. We argue that the validity of causal inferences from the comparative study of cases depends on the employed case-selection algorithm. We employ Monte Carlo techniques to demonstrate that different case-selection rules strongly differ in their ex ante reliability for making valid causal inferences and identify the most and the least reliable case selection rules.

Item Type: Dataset
Subjects: B Philosophy. Psychology. Religion > BD Speculative Philosophy
H Social Sciences > H Social Sciences (General)
H Social Sciences > HM Sociology
Divisions: Faculty of Social Sciences > Economics
Type of Data: Experimental data
Library of Congress Subject Headings (LCSH): Sociology -- Research, Social sciences -- Comparative method, Causation, Social sciences -- Research -- Methodology, Case method
Publisher: Harvard Dataverse
Official Date: 12 November 2017
Dates:
DateEvent
12 November 2017Published
Status: Not Peer Reviewed
Publication Status: Published
Media of Output: .do
Access rights to Published version: Open Access
Copyright Holders: University of Warwick
Description:

Data record consists of a single data file in .do format. This data file contains the STATA do-file for the Monte Carlo experiments conducted in the paper.

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Contributors:
ContributionNameContributor ID
Contact PersonTroeger, Vera34309

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