A Comparison of Personal Sector Saving Rates in the UK, US and Italy
AbstractWe develop the approach of Gokhale, Kotlikoff and Sabelhaus (1996), based on the life-cycle model of savings, to decompose the large differences in the personal sector saving rates between the UK,US and Italy. Our work suggests that the US saving rate is lower principally because Americans on average retire later. The Italian saving rate is high predominantly because Italians are unable to borrow, especially when they are young. We also found that demography and the different tax and benefit systems are able to explain little of the cross-sectional differences in saving rates. The study estimates the size of, and accounts for the possible importance of, intergenerational private transfers in determining saving rates. Download a PDF version (506kb - link above). View Excel data files (or right-click to download): UK, US and Italy.
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Bibliographic InfoPaper provided by National Institute of Economic and Social Research in its series NIESR Discussion Papers with number 150.
Date of creation: Jun 2001
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- Donald, Stephen G. & Fortuna, Nat rcia & Pipiras, Vladas, 2007.
"On Rank Estimation In Symmetric Matrices: The Case Of Indefinite Matrix Estimators,"
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- Stephen G. Donald & Natércia Fortuna & Vladas Pipiras, 2005. "On rank estimation in symmetric matrices: the case of indefinite matrix estimators," FEP Working Papers 167, Universidade do Porto, Faculdade de Economia do Porto.
- Gianluca Cubadda, 2007.
"A Reduced Rank Regression Approach to Coincident and Leading Indexes Building,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 69(2), pages 271-292, 04.
- Cubadda, Gianluca, 2004. "A Reduced Rank Regression Approach to Coincident and Leading Indexes Building," Economics & Statistics Discussion Papers esdp04022, University of Molise, Dept. EGSeI.
- Fujiwara, Ippei & Koga, Maiko, 2004. "A Statistical Forecasting Method for Inflation Forecasting: Hitting Every Vector Autoregression and Forecasting under Model Uncertainty," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 22(1), pages 123-142, March.
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7446, C.E.P.R. Discussion Papers.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2011. "Forecasting large datasets with Bayesian reduced rank multivariate models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(5), pages 735-761, 08.
- Andrea Carriero & George Kapetanios & Massimiliano Marcellino, 2009. "Forecasting Large Datasets with Bayesian Reduced Rank Multivariate Models," Economics Working Papers ECO2009/31, European University Institute.
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