Misspecification Robustness
Misspecification Robustness is a property of an estimation method that ensures consistent and asymptotically valid inference even when the assumed model does not perfectly capture the true data-generating process.
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10.7K
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321
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227
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2017–2026
29
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Two‐Pass Tests of Asset Pricing Models with Useless Factors
Raymond Kan, Chu Zhang · The Journal of Finance · 1999 · 356 citations
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Princeton University
Princeton, United States
5 h-index
6 publications
1.2K citations

University of Toronto
Toronto, Canada
5 h-index
5 publications
625 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
7 publications
471 citations
University of California, Berkeley
Berkeley, United States
4 h-index
4 publications
209 citations
Federal Reserve
Washington D.C., United States
3 h-index
4 publications
299 citations

University of Central Florida
Orlando, United States
3 h-index
3 publications
121 citations

Imperial College London
London, United Kingdom
3 h-index
3 publications
150 citations

Lund University
Lund, Sweden
3 h-index
4 publications
333 citations
1–8 of 227
11 publications · 622 citations
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Repository · 10 publications · 191 citations
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CJS · 5 publications · 121 citations
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5 publications · 73 citations
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4 publications · 162 citations
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