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https://hdl.handle.net/2142/85616
Description
Title
Essays in Life Cycle Economies
Author(s)
Ventura, Gustavo Jaime
Issue Date
1997
Doctoral Committee Chair(s)
Mark Huggett
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, General
Language
eng
Abstract
The second essay deals with one of the stylized facts in the literature on savings. Among the oldest reported facts about savings behavior in cross section data, is that the fraction of income saved by households is increasing in household income. Furthermore, the differences in saving rates can be of considerable magnitude. For instance, the data compiled in Kuznets (1953) and Projector (1968), showed that households with incomes below one half of the mean income generally dissave, whereas households with incomes at or above two times the mean income save about twenty percent of their income. Given this, this essay is centered around two questions: What are the economic forces that contribute to explain this observation? Can calibrated general equilibrium model economies display stationary equilibrium saving rates that are increasing in household income? In answering the first of the posed questions, it is shown that the key forces behind the savings observations are the age structure of households (demographics), large permanent differences in labor earnings, and a social security system with similar attributes to the one that actually prevails in the U.S. It is also found, surprisingly, that temporary earnings shocks are not essential in generating the cross sectional saving facts. In terms of the second question, it is quantitatively demonstrated that life cycle economies with heterogeneous agents are successful in reproducing the saving observations. Moreover, simple life cycle models that do not account for agent heterogeneity, cannot generate the wide array of saving rates at different income levels that is displayed in U.S. cross section data. (Abstract shortened by UMI.).
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