What did I leave out? Omitted variables in regression and qualitative comparative analysis
European Political Science
Palgrave Macmillan for European Consortium for Political Research
© European Consortium for Political Research 2018
Reason for embargo
Under 12 month embargo until 18th January 2019 in compliance with publisher policy.
Social scientists often face a fundamental problem: Did I leave something causally important out of my explanation? How do I diagnose this? Where do I look for solutions to this problem? We build bridges between regression models and qualitative comparative analysis (QCA) by comparing diagnostics and solutions to the problem of omitted variables and conditions. We then discuss various approaches and tackle the theoretical issues around causality which must be addressed before attending to technical fixes. In the conclusions we reflect on the bridges built between the two traditions and draw more general lessons about the logic of social science research.
Research for this project was funded by the ERC project 694632 Protego – Procedural Tools for Effective Governance and by the Goethe University of Frankfurt
This is the author accepted manuscript. The final version is available from Palgrave Macmillan for European Consortium for Political Research via the DOI in this record.
Published online 18-01-2018