Replication Data for: Case selection and causal inferences in qualitative comparative research
Neumayer, E.
, Troeger, V. E. & Plümper, T.
(2017).
Replication Data for: Case selection and causal inferences in qualitative comparative research.
[Dataset]. Harvard Dataverse.
https://doi.org/10.7910/dvn/3h5edp
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. This dataverse file contains the STATA do-file for the Monte Carlo experiments conducted in this paper.
| Item Type | Dataset |
|---|---|
| Publisher | Harvard Dataverse |
| DOI | 10.7910/dvn/3h5edp |
| Date made available | 21 November 2017 |
| Keywords | social sciences, case selection, causal inference, comparative political science |
| Resource language | Other |
| Departments | LSE |
Explore Further
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Plümper, T., Troeger, V. E. & Neumayer, E.
(2019). Case selection and causal inferences in qualitative comparative research. PLOS ONE, 14(7). https://doi.org/10.1371/journal.pone.0219727 (Repository Output)
ORCID: https://orcid.org/0000-0003-2719-7563