Distributed lag: Difference between revisions
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In [[statistics]] a '''distributed lag model''' is a regression eqution utilizing time-series data that contains both the current values of an explanatory variable and the lagged (past period) values of this explanatory variable. |
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<ref>Jeff B. Cromwell, et. al., (1994). Multivariate Tests For Time Series Models. SAGE Publications, Inc. ISBN 0-8039-5440-9</ref> |
In [[statistics]], a '''distributed lag model''' is a model for [[time series]] data in which a [[linear regression|regression]]-like equation is used to predict current values of a [[dependent variable]] based on both the current values of an [[explanatory variable]] and the lagged (past period) values of this explanatory variable.<ref>Jeff B. Cromwell, et. al., (1994). Multivariate Tests For Time Series Models. SAGE Publications, Inc. ISBN 0-8039-5440-9</ref> |
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== References == |
== References == |
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[[Category:Time series models]] |
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[[Category:Econometric models]] |
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Revision as of 16:13, 6 November 2009
In statistics, a distributed lag model is a model for time series data in which a regression-like equation is used to predict current values of a dependent variable based on both the current values of an explanatory variable and the lagged (past period) values of this explanatory variable.[1]
References
- ^ Jeff B. Cromwell, et. al., (1994). Multivariate Tests For Time Series Models. SAGE Publications, Inc. ISBN 0-8039-5440-9
This article needs additional citations for verification. (November 2009) |