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Estimates of the Bias of Lagged Dependent Variable Coefficient Estimates in Macroeconomic Equations

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Abstract

A stochastic-simulation method is proposed in this paper for obtaining median unbiased estimates of lagged dependent variable coefficients in macroeconomic models. Estimated biases for 13 equations of a macroeconomic model are computed. These biases are on average somewhat smaller in absolute bias than would be expected from Andrews' exact results for an equation with only a constant term, time trend, and lagged dependent variable, although they are larger than would be expected from Hurwicz's original estimates. In a practical sense the estimated biases are not very large because they have little effect on the overall predictive accuracy of the model and on its multiplier properties.

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  • Ray C. Fair, 1992. "Estimates of the Bias of Lagged Dependent Variable Coefficient Estimates in Macroeconomic Equations," Cowles Foundation Discussion Papers 1005, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:1005
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    1. Orcutt, Guy H & Winokur, Herbert S, Jr, 1969. "First Order Autoregression: Inference, Estimation, and Prediction," Econometrica, Econometric Society, vol. 37(1), pages 1-14, January.
    2. Donald W.K. Andrews, 1991. "Exactly Unbiased Estimation of First Order Autoregressive-Unit Root Models," Cowles Foundation Discussion Papers 975, Cowles Foundation for Research in Economics, Yale University.
    3. Fair, Ray C, 1980. "Estimating the Uncertainty of Policy Effects in Nonlinear Models," Econometrica, Econometric Society, vol. 48(6), pages 1381-1391, September.
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