Efficient estimation of distributed lag model in presence of heteroscedasticity of unknown form: A Monte Carlo evidence
In the presence of heteroscedasticity, the ordinary least-squares (OLS) estimator remains no more efficient while the popular Almon technique is being considered for a finite distributed lag model (DLM). The available literature proposes few adaptive estimators which are more efficient than the OLS...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2018-01-01
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Series: | Cogent Mathematics & Statistics |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/25742558.2018.1538596 |