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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.


<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>


== References ==
== References ==
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[[Category:Time series models]]
[[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

  1. ^ Jeff B. Cromwell, et. al., (1994). Multivariate Tests For Time Series Models. SAGE Publications, Inc. ISBN 0-8039-5440-9