Estimation Theory is a branch of statistics and econometrics that systematically develops methods for inferring unknown parameters of a population from sample data, distinguished by its focus on the properties and performance of estimators such as unbiasedness, consistency, and efficiency.
21.7K
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2M
Citations
24K
Authors
5.1K
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Publications per year
2017–2026
2.4K
Parents
Publications
21.7K
Sample Selection Bias as a Specification Error
James J. Heckman · Econometrica · 1979 · 28.9K citations
Alternative Ways of Assessing Model Fit
Michael W. Browne, Robert Cudeck · Sociological Methods & Research · 1992 · 25.2K citations
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Authors
24K
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51
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- WK
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- PH
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- HP
32
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Institutions
5.1K
Stanford University
Stanford, United States
79 h-index
299 publications
46.4K citations
Princeton University
Princeton, United States
77 h-index
224 publications
31.8K citations
University of Chicago
Chicago, United States
76 h-index
227 publications
46.6K citations
University of California, Berkeley
Berkeley, United States
73 h-index
350 publications
37.2K citations
Harvard University
Cambridge, United States
71 h-index
223 publications
32.9K citations
Massachusetts Institute of Technology
Cambridge, United States
67 h-index
206 publications
29.3K citations
Texas A&M University
College Station, United States
66 h-index
291 publications
20.7K citations
Cornell University
Ithaca, United States
65 h-index
283 publications
33.4K citations
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Venues
- Journal of the American Statistical Association
1.5K publications · 248.3K citations
200
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- The Annals of Statistics
883 publications · 103.6K citations
168
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- Econometrica
371 publications · 153.2K citations
142
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- Biometrika
648 publications · 61K citations
116
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- Journal of Econometrics
524 publications · 61.9K citations
114
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