Truncated Regression is a statistical regression model that accounts for data truncation by restricting analysis to observations within a specified range of the dependent variable, thereby distinguishing itself from standard regression models that assume full sample observability.
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2017–2026
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Publications
172
Regression Analysis when the Dependent Variable Is Truncated Normal
Takeshi Amemiya · Econometrica · 1973 · 1.1K citations
1–5 of 172
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1–5 of 397
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254
Columbia University
New York, United States
4 h-index
4 publications
118 citations
Princeton University
Princeton, United States
4 h-index
4 publications
278 citations
Ifo Institute for Economic Research
Munich, Germany
4 h-index
5 publications
67 citations
University of Kentucky
Lexington, United States
3 h-index
5 publications
192 citations
Anhui University
Hefei, China
3 h-index
10 publications
445 citations
University of Washington
Seattle, United States
3 h-index
10 publications
1.2K citations
Boston College
Boston, United States
3 h-index
3 publications
145 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
3 h-index
4 publications
115 citations
1–8 of 254
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- Econometrica
9 publications · 2.7K citations
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- Journal of the American Statistical Association
9 publications · 627 citations
9
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- Computational Statistics & Data Analysis
CSDA · 4 publications · 86 citations
4
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- The Stata Journal Promoting communications on statistics and Stata
3 publications · 396 citations
3
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- Econometric Reviews
3 publications · 711 citations
3
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