Two-step Estimation
Two-Step Estimation is a statistical method in the class of sample selection models that corrects for selection bias by first estimating the probability of sample inclusion through a selection equation and then incorporating the estimated inverse Mills ratio as a regressor in the second-stage outcome equation.
460
Publications
45.6K
Citations
948
Authors
538
Institutions
Publications per year
2017–2026
137
Variants
Heckman CorrectionHeckman Two-step
Parents
460
Dynamic Conditional Correlation
Robert F. Engle · Journal of Business and Economic Statistics · 2002 · 7.1K citations
Business, Finance, Econometrics +16
Large sample estimation and hypothesis testing
Whitney K. Newey, Daniel McFadden · RePEc: Research Papers in Economics · 1986 · 2.2K citations
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538
University of Chicago
Chicago, United States
11 h-index
11 publications
2.9K citations
University of Southern California
Los Angeles, United States
9 h-index
9 publications
709 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
8 h-index
8 publications
259 citations
Stanford University
Stanford, United States
8 h-index
8 publications
1.3K citations
Princeton University
Princeton, United States
8 h-index
8 publications
641 citations
Tsinghua University
Beijing, China
7 h-index
7 publications
383 citations
University of Michigan
Ann Arbor, United States
6 h-index
6 publications
374 citations
University of California, Los Angeles
Los Angeles, United States
6 h-index
6 publications
180 citations
1–8 of 538
Repository · 31 publications · 1.7K citations
19
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14 publications · 7.4K citations
13
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JBES · 13 publications · 9.6K citations
13
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Repository · 16 publications · 2.8K citations
13
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12 publications · 913 citations
11
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