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Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods

Author

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  • Alin T Mirestean
  • Charalambos G Tsangarides
  • Huigang Chen

Abstract

Bayesian Model Averaging (BMA) provides a coherent mechanism to address the problem of model uncertainty. In this paper we extend the BMA framework to panel data models where the lagged dependent variable as well as endogenous variables appear as regressors. We propose a Limited Information Bayesian Model Averaging (LIBMA) methodology and then test it using simulated data. Simulation results suggest that asymptotically our methodology performs well both in Bayesian model selection and averaging. In particular, LIBMA recovers the data generating process very well, with high posterior inclusion probabilities for all the relevant regressors, and parameter estimates very close to the true values. These findings suggest that our methodology is well suited for inference in dynamic panel data models with short time periods in the presence of endogenous regressors under model uncertainty.

Suggested Citation

  • Alin T Mirestean & Charalambos G Tsangarides & Huigang Chen, 2009. "Limited Information Bayesian Model Averaging for Dynamic Panels with Short Time Periods," IMF Working Papers 09/74, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:09/74
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    Cited by:

    1. León-González, Roberto & Montolio, Daniel, 2015. "Endogeneity and panel data in growth regressions: A Bayesian model averaging approach," Journal of Macroeconomics, Elsevier, vol. 46(C), pages 23-39.
    2. Eicher, Theo S. & Helfman, Lindy & Lenkoski, Alex, 2012. "Robust FDI determinants: Bayesian Model Averaging in the presence of selection bias," Journal of Macroeconomics, Elsevier, vol. 34(3), pages 637-651.
    3. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-69.
    4. Charalambos G Tsangarides, 2012. "Determinants of Growth Spells; Is Africa Different?," IMF Working Papers 12/227, International Monetary Fund.
    5. Shekhar Aiyar & Romain A Duval & Damien Puy & Yiqun Wu & Longmei Zhang, 2013. "Growth Slowdowns and the Middle-Income Trap," IMF Working Papers 13/71, International Monetary Fund.
    6. Moral-Benito, Enrique, 2010. "Model averaging in economics," MPRA Paper 26047, University Library of Munich, Germany.
    7. Enrique Moral-Benito, 2015. "Model Averaging In Economics: An Overview," Journal of Economic Surveys, Wiley Blackwell, vol. 29(1), pages 46-75, February.
    8. Huigang Chen & Alin T Mirestean & Charalambos G Tsangarides, 2011. "Limited Information Bayesian Model Averaging for Dynamic Panels with An Application to a Trade Gravity Model," IMF Working Papers 11/230, International Monetary Fund.

    More about this item

    Keywords

    Economic models; Bayesian Model Averaging; Model Uncertainty; Dynamic Panels; Generalized Method of Moments; Robustness; probability; probabilities; econometrics; sample size; equation;

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