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A Note on the Practice of Lagging Variables to Avoid Simultaneity

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Abstract

A common practice in applied econometrics consists of replacing a suspected endogenous variable with its lagged values. This note demonstrates that lagging an endogen¬ous variable does not enable one to escape simultaneity bias. The associated estimates are still inconsistent, and hypothesis testing is invalid. I show that the only time a strategy of replacing Xt with Xt-1 enables consistent estimation of structural parameters is when there is no simultaneity to begin with. The implication of this study is that researchers who employ this practice should be explicit about why lagging is an effective estimation strategy.

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  • W. Robert Reed, 2013. "A Note on the Practice of Lagging Variables to Avoid Simultaneity," Working Papers in Economics 13/32, University of Canterbury, Department of Economics and Finance.
    • Handle: RePEc:cbt:econwp:13/32
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    Cited by:

    1. Balakrishnan, Pulapre & Das, Mausumi & Parameswaran, M., 2017. "The internal dynamic of Indian economic growth," Journal of Asian Economics, Elsevier, vol. 50(C), pages 46-61.

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    More about this item

    Keywords

    Simultaneity; Endogeneity; Lagged variables;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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