Robustness Checks
Robustness Check is a methodological procedure in natural experiments that assesses the stability and reliability of causal inferences by systematically varying model specifications, assumptions, or sample conditions to determine whether the core results persist under alternative analytical choices.
856
Publications
52.3K
Citations
2.1K
Authors
1.1K
Institutions
Publications per year
2017–2026
483
856
Are Risk Aversion and Impatience Related to Cognitive Ability?
Thomas Dohmen, Armin Falk, David Huffman et al. · American Economic Review · 2010 · 1.3K citations
Emanuel Schmider, Matthias Ziegler, Erik Danay et al. · Methodology · 2010 · 1.3K citations
Structural model robustness checks in PLS-SEM
Marko Sarstedt, Christian M. Ringle, Jun‐Hwa Cheah et al. · Tourism Economics · 2019 · 1.2K citations
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Organisation de Coopération et de Développement Economiques, France
5 publications · 638 citations
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1.1K

International Monetary Fund
Washington D.C., United States
17 h-index
28 publications
1.1K citations
IZA - Institute of Labor Economics
Bonn, Germany
17 h-index
35 publications
1.9K citations
Ifo Institute for Economic Research
Munich, Germany
13 h-index
14 publications
669 citations

Renmin University of China
Beijing, China
12 h-index
20 publications
807 citations
University of Pennsylvania
Philadelphia, United States
12 h-index
22 publications
4.9K citations
Xiamen University
Xiamen, China
11 h-index
23 publications
2.1K citations
Southwestern University of Finance and Economics
Chengdu, China
11 h-index
21 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
19 publications
2.5K citations
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Repository · 108 publications · 3.8K citations
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Repository · 20 publications · 455 citations
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14 publications · 417 citations
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14 publications · 854 citations
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10 publications · 480 citations
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