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Long and short-run components in explanatory variables and different panel-data estimates

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  • Alfonso Ugarte

Abstract

We investigate the idea that when we separate an explanatory variable into its \'between\' and \'within\' variations we could be roughly decomposing it into a structural (long-term) and a cyclical component respectively, and this could translate into different Between and Within estimates in panel data.

Suggested Citation

  • Alfonso Ugarte, 2016. "Long and short-run components in explanatory variables and different panel-data estimates," Working Papers 16/10, BBVA Bank, Economic Research Department.
    • Handle: RePEc:bbv:wpaper:1610
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    References listed on IDEAS

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    1. Cottarelli, Carlo & Dell'Ariccia, Giovanni & Vladkova-Hollar, Ivanna, 2005. "Early birds, late risers, and sleeping beauties: Bank credit growth to the private sector in Central and Eastern Europe and in the Balkans," Journal of Banking & Finance, Elsevier, vol. 29(1), pages 83-104, January.
    2. Djankov, Simeon & McLiesh, Caralee & Shleifer, Andrei, 2007. "Private credit in 129 countries," Journal of Financial Economics, Elsevier, vol. 84(2), pages 299-329, May.
    3. Jacques Mairesse & Mohamed Sassenou, 1991. "R&D Productivity: A Survey of Econometric Studies at the Firm Level," NBER Working Papers 3666, National Bureau of Economic Research, Inc.
    4. Becerra, O. & Cavallo, E. & Scartascini, C., 2012. "The politics of financial development: The role of interest groups and government capabilities," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 626-643.
    5. Baltagi, Badi H & Griffin, James M, 1984. "Short and Long Run Effects in Pooled Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(3), pages 631-645, October.
    6. Mr. Adolfo Barajas & Thorsten Beck & Ms. Era Dabla-Norris & Mr. Seyed Reza Yousefi, 2013. "Too Cold, Too Hot, or Just Right? Assessing Financial Sector Development Across the Globe," IMF Working Papers 2013/081, International Monetary Fund.
    7. 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.
    8. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
    9. Pirotte, Alain, 1999. "Convergence of the static estimation toward the long run effects of dynamic panel data models," Economics Letters, Elsevier, vol. 63(2), pages 151-158, May.
    10. I. T. van den Doel & J. F. Kiviet, 1995. "Neglected dynamics in panel data models; consequences and detection in finite samples," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 49(3), pages 343-361, November.
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    More about this item

    Keywords

    Global ; Research ; Working Paper;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G20 - Financial Economics - - Financial Institutions and Services - - - General
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages

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