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The Feldstein-Horioka fact

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  • Domenico Giannone
  • Michele Lenza

Abstract

This paper shows that general equilibrium effects can partly rationalize the high correlation between saving and investment rates observed in OECD countries. We find that once controlling for general equilibrium effects the saving-retention coefficient remains high in the 70's but decreases considerably since the 80's, consistently with the increased capital mobility in OECD countries.

Suggested Citation

  • Domenico Giannone & Michele Lenza, 2009. "The Feldstein-Horioka fact," NBER Working Papers 15519, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:15519
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    1. Jushan Bai & Serena Ng, 2002. "Determining the Number of Factors in Approximate Factor Models," Econometrica, Econometric Society, vol. 70(1), pages 191-221, January.
    2. Glick, Reuven & Rogoff, Kenneth, 1995. "Global versus country-specific productivity shocks and the current account," Journal of Monetary Economics, Elsevier, vol. 35(1), pages 159-192, February.
    3. Charlotte Ostergaard & Bent E. Serensen & Oved Yosha, 2002. "Consumption and Aggregate Constraints: Evidence from U.S. States and Canadian Provinces," Journal of Political Economy, University of Chicago Press, vol. 110(3), pages 634-645, June.
    4. Feldstein, Martin & Horioka, Charles, 1980. "Domestic Saving and International Capital Flows," Economic Journal, Royal Economic Society, vol. 90(358), pages 314-329, June.
    5. Mario Forni & Lucrezia Reichlin, 1998. "Let's Get Real: A Factor Analytical Approach to Disaggregated Business Cycle Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(3), pages 453-473.
    6. Maurice Obstfeld & Kenneth Rogoff, 2001. "The Six Major Puzzles in International Macroeconomics: Is There a Common Cause?," NBER Chapters, in: NBER Macroeconomics Annual 2000, Volume 15, pages 339-412, National Bureau of Economic Research, Inc.
    7. M. Hashem Pesaran, 2006. "Estimation and Inference in Large Heterogeneous Panels with a Multifactor Error Structure," Econometrica, Econometric Society, vol. 74(4), pages 967-1012, July.
    8. Bernanke, Ben S. & Boivin, Jean, 2003. "Monetary policy in a data-rich environment," Journal of Monetary Economics, Elsevier, vol. 50(3), pages 525-546, April.
    9. Jaume Ventura, 2003. "Towards a Theory of Current Accounts," The World Economy, Wiley Blackwell, vol. 26(4), pages 483-512, April.
    10. Mario Forni & Marc Hallin & Marco Lippi & Lucrezia Reichlin, 2000. "The Generalized Dynamic-Factor Model: Identification And Estimation," The Review of Economics and Statistics, MIT Press, vol. 82(4), pages 540-554, November.
    11. Coakley, Jerry & Kulasi, Farida & Smith, Ron, 1998. "The Feldstein-Horioka Puzzle and Capital Mobility: A Review," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 3(2), pages 169-188, April.
    12. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
    13. Gregory, Allan W. & Head, Allen C., 1999. "Common and country-specific fluctuations in productivity, investment, and the current account," Journal of Monetary Economics, Elsevier, vol. 44(3), pages 423-451, December.
    14. Pagan, Adrian, 1984. "Econometric Issues in the Analysis of Regressions with Generated Regressors," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 25(1), pages 221-247, February.
    15. Olivier Blanchard & Francesco Giavazzi, 2002. "Current Account Deficits in the Euro Area: The End of the Feldstein Horioka Puzzle?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(2), pages 147-210.
    16. Jushan Bai, 2003. "Inferential Theory for Factor Models of Large Dimensions," Econometrica, Econometric Society, vol. 71(1), pages 135-171, January.
    17. Frankel, Jeffrey A, 1992. "Measuring International Capital Mobility: A Review," American Economic Review, American Economic Association, vol. 82(2), pages 197-202, May.
    18. Robert J. Barro, 1991. "World Interest Rates and Investment," NBER Working Papers 3849, National Bureau of Economic Research, Inc.
    19. Stock, James H & Watson, Mark W, 2002. "Macroeconomic Forecasting Using Diffusion Indexes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(2), pages 147-162, April.
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    More about this item

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • F32 - International Economics - - International Finance - - - Current Account Adjustment; Short-term Capital Movements
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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