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Correcting for Omitted-Variable and Measurement-Error Bias in Autoregressive Model Estimation with Panel Data

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  • P. Swamy
  • I-Lok Chang
  • Jatinder Mehta
  • George Tavlas

Abstract

The parameter estimates based on an econometric equation are biased and can also be inconsistent when relevant regressors are omitted from the equation or when included regressors are measured with error. This problem gets complicated when the `true' functional form of the equation is unknown. Here, we demonstrate how auxiliary variables, called concomitants, can be used to remove omitted-variable and measurement-error biases from the coefficients of an equation with the unknown `true' functional form. The method is specifically designed for panel data. Numerical algorithms for enacting this procedure are presented and an illustration is given using a practical example of forecasting small-area employment from nonlinear autoregressive models. Copyright Kluwer Academic Publishers 2003

Suggested Citation

  • P. Swamy & I-Lok Chang & Jatinder Mehta & George Tavlas, 2003. "Correcting for Omitted-Variable and Measurement-Error Bias in Autoregressive Model Estimation with Panel Data," Computational Economics, Springer;Society for Computational Economics, vol. 22(2), pages 225-253, October.
  • Handle: RePEc:kap:compec:v:22:y:2003:i:2:p:225-253 DOI: 10.1023/A:1026189916020
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    References listed on IDEAS

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    1. Basmann, R. L., 1988. "Causality tests and observationally equivalent representations of econometric models," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 69-104.
    2. P. A. V. B. Swamy & Garry J. Schinasi, 1986. "Should fixed coefficients be reestimated every period for extrapolation?," International Finance Discussion Papers 287, Board of Governors of the Federal Reserve System (U.S.).
    3. I-Lok Chang & P.A.V.B. Swamy & Charles Hallahan & George S. Tavlas, 2000. "A Computational Approach to Finding Causal Economic Laws," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 105-136, October.
    4. Friedman, Milton & Schwartz, Anna J, 1991. "Alternative Approaches to Analyzing Economic Data," American Economic Review, American Economic Association, vol. 81(1), pages 39-49, March.
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    Citations

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    Cited by:

    1. George Hondroyiannis & P.A.V.B. Swamy & George Tavlas & Michael Ulan, 2008. "Some Further Evidence on Exchange-Rate Volatility and Exports," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 144(1), pages 151-180, April.
    2. Swamy, P.A.V.B. & Yaghi, Wisam & Mehta, Jatinder S. & Chang, I-Lok, 2007. "Empirical best linear unbiased prediction in misspecified and improved panel data models with an application to gasoline demand," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3381-3392, April.
    3. Jonathan E Leightner & Tomoo Inoue, 2014. "Political Instability and the Effectiveness of Economic Policies: The Case of Thailand from 1993-2013," Economy, Asian Online Journal Publishing Group, vol. 1(1), pages 20-31.
    4. Hall, Stephen G. & Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "Assessing the causal relationship between euro-area money and prices in a time-varying environment," Economic Modelling, Elsevier, vol. 26(4), pages 760-766, July.
    5. Swamy, P.A.V.B. & Mehta, Jatinder S. & Chang, I-Lok & Zimmerman, T.S., 2009. "An efficient method of estimating the true value of a population characteristic from its discrepant estimates," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2378-2389, April.
    6. Jonathan E. Leightner, 2013. "The Changing Effectiveness of Monetary Policy," Economies, MDPI, Open Access Journal, vol. 1(3), pages 1-16, November.

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