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Do dynamics and heterogeneity in panel data models matter?

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  • Andreas Steiner

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  • Andreas Steiner, 2011. "Do dynamics and heterogeneity in panel data models matter?," Empirical Economics, Springer, vol. 40(1), pages 165-176, February.
    • Handle: RePEc:spr:empeco:v:40:y:2011:i:1:p:165-176
    DOI: 10.1007/s00181-010-0423-2
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    1. Joshua Aizenman & Jaewoo Lee, 2007. "International Reserves: Precautionary Versus Mercantilist Views, Theory and Evidence," Open Economies Review, Springer, vol. 18(2), pages 191-214, April.
    2. Philip Lane & Dominic Burke, 2001. "The Empirics of Foreign Reserves," Open Economies Review, Springer, vol. 12(4), pages 423-434, October.
    3. Wong, Clement Yuk-pang & Cheung, Yin-Wong, 2008. "Are All Measures of International Reserves Created Equal? An Empirical Comparison of International Reserve Ratios," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-61.
    4. Frenkel, Jacob A & Jovanovic, Boyan, 1981. "Optimal International Reserves: A Stochastic Framework," Economic Journal, Royal Economic Society, vol. 91(362), pages 507-514, June.
    5. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July.
    6. Peter Egger & Michael Pfaffermayr, 2005. "Estimating Long and Short Run Effects in Static Panel Models," Econometric Reviews, Taylor & Francis Journals, vol. 23(3), pages 199-214.
    7. Baltagi, Badi H. & Wu, Ping X., 1999. "Unequally Spaced Panel Data Regressions With Ar(1) Disturbances," Econometric Theory, Cambridge University Press, vol. 15(6), pages 814-823, December.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    10. Orazio P. Attanasio & Lucio Picci & Antonello E. Scorcu, 2000. "Saving, Growth, and Investment: A Macroeconomic Analysis Using a Panel of Countries," The Review of Economics and Statistics, MIT Press, vol. 82(2), pages 182-211, May.
    11. International Monetary Fund, 1999. "Neglected Heterogeneity and Dynamics in Cross-Country Savings Regressions," IMF Working Papers 1999/128, International Monetary Fund.
    12. Robertson, D & Symons, J, 1992. "Some Strange Properties of Panel Data Estimators," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(2), pages 175-189, April-Jun.
    13. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    14. Baltagi, Badi H. & Bresson, Georges & Pirotte, Alain, 2002. "Comparison of forecast performance for homogeneous, heterogeneous and shrinkage estimators: Some empirical evidence from US electricity and natural-gas consumption," Economics Letters, Elsevier, vol. 76(3), pages 375-382, August.
    15. M. Bahmani-Oskooee & F. Brown, 2002. "Demand for international reserves: a review article," Applied Economics, Taylor & Francis Journals, vol. 34(10), pages 1209-1226.
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    Cited by:

    1. Kuk Mo Jung & Ju Hyun Pyun, 2020. "Out-of-Sample Analysis of International Reserves for Emerging Economies with a Dynamic Panel Model," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 67(5), pages 675-695.
    2. Jung, Kuk Mo & Pyun, Ju Hyun, 2016. "International reserves for emerging economies: A liquidity approach," Journal of International Money and Finance, Elsevier, vol. 68(C), pages 230-257.
    3. Judzik, Dario, 2014. "Heterogeneous labor demand: sectoral elasticity and trade effects in the U.S., Germany and Sweden," MPRA Paper 62768, University Library of Munich, Germany.

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    More about this item

    Keywords

    Panel data models; Poolability; Parameter heterogeneity; International reserves; Central Bank Behaviour; C23; E58; F31;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • F31 - International Economics - - International Finance - - - Foreign Exchange

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