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Precautionary saving and old-age provisions : do subjective saving motives measures work?

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  • Essig, Lothar

Abstract

The literature on precautionary saving provides contradictory views on the importance of precautionary saving. The SAVE data offer the possibility to generate some of the frequently used instruments known from the literature in order to measure the extent of precautionary savings. This paper compares the influence of these instruments on long-run and short-run saving measures. In addition, SAVE contains information on a broad range of saving motives. This paper uses these short-run and long-run savings motives to describe differences in savings, saving rates and wealth accumulation.

Suggested Citation

  • Essig, Lothar, 2005. "Precautionary saving and old-age provisions : do subjective saving motives measures work?," Papers 05-22, Sonderforschungsbreich 504.
  • Handle: RePEc:mnh:spaper:2649
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    File URL: https://ub-madoc.bib.uni-mannheim.de/2649/1/dp05_22.pdf
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    Cited by:

    1. Frank M. Fossen & Davud Rostam-Afschar, 2013. "Precautionary and Entrepreneurial Savings: New Evidence from German Households," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(4), pages 528-555, August.
    2. Najat El Mekkaoui de Freitas & Bérangère Legendre, 2014. "Constitution d’un revenu complémentaire de retraite : quels sont les facteurs déterminants?," Économie et Statistique, Programme National Persée, vol. 472(1), pages 153-167.

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    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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