On the Practice of Lagging VariablesTo Avoid Simultaneity

dc.contributor.authorReed, W. Robert
dc.date.accessioned2015-01-26T22:03:49Z
dc.date.available2015-01-26T22:03:49Z
dc.date.issued2014en
dc.description.abstractA common practice in applied economics research consists of replacing a suspected simultaneously-determined explanatory variable with its lagged value. This note demonstrates that this practice does not enable one to avoid simultaneity bias. The associated estimates are still inconsistent, and hypothesis testing is invalid. One alternative is to use lagged values of the endogenous variable in instrumental variable estimation. However, this is only an effective estimation strategy if the lagged values do not themselves belong in the respective estimating equation, and if they are sufficiently correlated with the simultaneously-determined explanatory variable.en
dc.identifier.citationReed, R. W. (2014) On the Practice of Lagging Variables To Avoid Simultaneity. 14pp..en
dc.identifier.urihttp://hdl.handle.net/10092/10075
dc.language.isoen
dc.publisherUniversity of Canterbury. Department of Economics and Financeen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subjectsimultaneityen
dc.subjectreverse causalityen
dc.subjectlagged variablesen
dc.subject.anzsrcFields of Research::38 - Economics::3802 - Econometrics::380202 - Econometric and statistical methodsen
dc.subject.anzsrcFields of Research::38 - Economics::3802 - Econometrics::380203 - Economic models and forecastingen
dc.titleOn the Practice of Lagging VariablesTo Avoid Simultaneityen
dc.typeDiscussion / Working Papers
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