Heteroscedasticity Modeling
Heteroscedasticity Modeling is a statistical modeling approach that explicitly accounts for non-constant variance in error terms across observations, distinguishing itself from homoscedastic models by incorporating systematic changes in dispersion relative to predictor variables or time.
1.1K
Publications
102.1K
Citations
1.9K
Authors
879
Institutions
Publications per year
2017–2026
237
Parents
1.1K
A Simple Test for Heteroscedasticity and Random Coefficient Variation
Trevor Breusch, A. R. Pagan · Econometrica · 1979 · 5.4K citations
Robust Tests for Heteroscedasticity Based on Regression Quantiles
Roger Koenker, Gilbert W. Bassett · Econometrica · 1982 · 1.6K citations
Business, Finance, Econometrics +13
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University of Hong Kong
Pok Fu Lam, Hong Kong
15 h-index
23 publications
1.3K citations
University of Southern California
Los Angeles, United States
14 h-index
23 publications
1.1K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
14 h-index
18 publications
3K citations

Universidade Federal de Pernambuco
Recife, Brazil
13 h-index
18 publications
1.1K citations
Universidade de São Paulo
São Paulo, Brazil
12 h-index
16 publications
382 citations

Cornell University
Ithaca, United States
11 h-index
22 publications
1.6K citations
University of Wisconsin–Madison
Madison, United States
11 h-index
20 publications
983 citations

University of York
York, United Kingdom
11 h-index
13 publications
808 citations
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52 publications · 5.9K citations
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49 publications · 4.9K citations
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JBES · 41 publications · 5.2K citations
28
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20 publications · 36.6K citations
20
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Repository · 32 publications · 937 citations
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