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What Drives Private Saving Across the World?

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  • Norman Loayza
  • Klaus Schmidt-Hebbel
  • Luis Servén

Abstract

Saving rates display considerable variation across countries and over time. This paper investigates the factors behind these broad saving disparities using a large cross-country time-series data set constructed for the World Bank Saving project. The paper assesses empirically the policy and non-policy determinants of saving. It follows the empirical literature on saving by using an encompassing empirical approach including a number of potentially relevant saving determinants. However, the paper extends the literature in several dimensions. It uses the largest data set on aggregate saving measures assembled to date. It explores both national and private saving determinants. It uses panel instrumental variable techniques that allow correcting for endogeneity and heterogeneity through "internal" instruments. Finally, it performs a variety of robustness checks to changes in estimation procedures, data samples and model specification.

Suggested Citation

  • Norman Loayza & Klaus Schmidt-Hebbel & Luis Servén, 1999. "What Drives Private Saving Across the World?," Working Papers Central Bank of Chile 47, Central Bank of Chile.
  • Handle: RePEc:chb:bcchwp:47
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    References listed on IDEAS

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    1. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    2. Alonso-Borrego, Cesar & Arellano, Manuel, 1999. "Symmetrically Normalized Instrumental-Variable Estimation Using Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(1), pages 36-49, January.
    3. 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.
    4. Barro, Robert J, 1974. "Are Government Bonds Net Wealth?," Journal of Political Economy, University of Chicago Press, vol. 82(6), pages 1095-1117, Nov.-Dec..
    5. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    6. Corbo, Vittorio & Schmidt-Hebbel, Klaus, 1991. "Public policies and saving in developing countries," Journal of Development Economics, Elsevier, vol. 36(1), pages 89-115, July.
    7. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
    8. Ross Levine & Norman Loayza & Thorsten Beck, 2002. "Financial Intermediation and Growth: Causality and Causes," Central Banking, Analysis, and Economic Policies Book Series, in: Leonardo Hernández & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (Se (ed.),Banking, Financial Integration, and International Crises, edition 1, volume 3, chapter 2, pages 031-084, Central Bank of Chile.
    9. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    10. Fischer, Stanley, 1993. "The role of macroeconomic factors in growth," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 485-512, December.
    11. White, Halbert, 1982. "Instrumental Variables Regression with Independent Observations," Econometrica, Econometric Society, vol. 50(2), pages 483-499, March.
    12. Jeannine Bailliu & Helmut Reisen, 1998. "Do funded pensions contribute to higher aggregate savings? A cross-country analysis," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 134(4), pages 692-711, December.
    13. International Monetary Fund, 1999. "Neglected Heterogeneity and Dynamics in Cross-Country Savings Regressions," IMF Working Papers 1999/128, International Monetary Fund.
    14. Easterly, William & Loayza, Norman & Montiel, Peter, 1997. "Has Latin America's post-reform growth been disappointing?," Journal of International Economics, Elsevier, vol. 43(3-4), pages 287-311, November.
    15. 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.
    16. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
    17. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    18. Ziliak, James P, 1997. "Efficient Estimation with Panel Data When Instruments Are Predetermined: An Empirical Comparison of Moment-Condition Estimators," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(4), pages 419-431, October.
    19. Maravall, Agustin & Planas, Christophe, 1999. "Estimation error and the specification of unobserved component models," Journal of Econometrics, Elsevier, vol. 92(2), pages 325-353, October.
    20. Tullio Jappelli & Marco Pagano, 1994. "Saving, Growth, and Liquidity Constraints," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 109(1), pages 83-109.
    21. Caselli, Francesco & Esquivel, Gerardo & Lefort, Fernando, 1996. "Reopening the Convergence Debate: A New Look at Cross-Country Growth Empirics," Journal of Economic Growth, Springer, vol. 1(3), pages 363-389, September.
    22. Schmidt-Hebbel,Klaus & Servén,Luis (ed.), 1999. "The Economics of Saving and Growth," Cambridge Books, Cambridge University Press, number 9780521632959.
    23. Deaton, Angus S, 1977. "Involuntary Saving through Unanticipated Inflation," American Economic Review, American Economic Association, vol. 67(5), pages 899-910, December.
    24. Mr. Christian Thimann & Mrs. Anuradha Dayal-Gulati, 1997. "Saving in Southeast Asia and Latin America Compared: Searching for Policy Lessons," IMF Working Papers 1997/110, International Monetary Fund.
    25. Edwards, Sebastian, 1996. "Why are Latin America's savings rates so low? An international comparative analysis," Journal of Development Economics, Elsevier, vol. 51(1), pages 5-44, October.
    26. Mr. Francesco Grigoli & Alexander Herman & Klaus Schmidt-Hebbel, 2014. "World Saving," IMF Working Papers 2014/204, International Monetary Fund.
    27. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    28. Javier Andrés & Ignacio Hernando, 1999. "Does Inflation Harm Economic Growth? Evidence from the OECD," NBER Chapters, in: The Costs and Benefits of Price Stability, pages 315-348, National Bureau of Economic Research, Inc.
    29. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
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    More about this item

    JEL classification:

    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance

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