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Intergenerational altruism and neoclassical growth models Author info | Abstract | Publisher info | Download info | Related research | Statistics Philippe Michel (National Center for Scientific Research (CNRS) )
Emmanuel Thibault () (University of Perpignan (GEREM) )
Jean-Pierre Vidal () (European Central Bank, DG Economics )
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This paper surveys intergenerational altruism in neoclassical growth models. It first examines Barro's approach to intergenerational altruism, whereby successive generations are linked by recursive altruistic preferences. Individuals have an altruistic concern only for their children, who in turn also have altruistic feelings for their own children. The conditions under which the Ricardian equivalence (debt neutrality) theorem applies are specified. The effectiveness of fiscal policy is further analysed in the context of an economy populated by heterogeneous families differing with respect to their degree of intergenerational altruism. Other forms of altruism, referred to as ad hoc altruism, are also examined, along with their implications for fiscal policy.
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Paper provided by European Central Bank in its series Working Paper Series with number
386.
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Length: 67 pages
Date of creation: Aug 2004Date of revision:
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Keywords: Neoclassical general aggregative models ; Altruism ; Fiscal Policy. ; Other versions of this item:
Find related papers by JEL classification: E13 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Neoclassical D64 - Microeconomics - - Welfare Economics - - - Altruism E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy C60 - Mathematical and Quantitative Methods - - Mathematical Methods and Programming - - - General
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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