Radaelli, CM;
Wagemann, C;
(2018)
What did I leave out? Omitted variables in regression and qualitative comparative analysis.
European Political Science
, 18
pp. 275-290.
10.1057/s41304-017-0142-7.
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Abstract
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 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.
Type: | Article |
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Title: | What did I leave out? Omitted variables in regression and qualitative comparative analysis |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1057/s41304-017-0142-7 |
Publisher version: | https://doi.org/10.1057/s41304-017-0142-7 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Causality, Econometrics, Qualitative comparative analysis, Research design, Regression analysis |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Political Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10059248 |
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