
doi: 10.2307/2298063
Summary: This paper analyses life-cycle consumption plans and distinguishes between temporal risk aversion and intertemporal substitution. The results assume that felicity functions are quadratic and that income follows a linear model with normally distributed errors. Stochastic dynamic programming then yields closed-loop linear decision rules. Certainty equivalence no longer holds, but instead households play a min- max strategy against nature. One finds a rationale for precautionary saving and a larger sensitivity of changes in consumption to income innovations.
Applications of mathematical programming, Economic growth models, Consumer behavior, demand theory, Stochastic programming, Stochastic systems in control theory (general), closed-loop linear decision rules, stochastic dynamic programming, Dynamic programming, life-cycle consumption plans
Applications of mathematical programming, Economic growth models, Consumer behavior, demand theory, Stochastic programming, Stochastic systems in control theory (general), closed-loop linear decision rules, stochastic dynamic programming, Dynamic programming, life-cycle consumption plans
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
