Estimating Lifecycle Parameters from Consumption Behavior at Retirement

Working Paper: NBER ID: w11163

Authors: John Laitner; Dan Silverman

Abstract: Using pseudo-panel data, we estimate the structural \nparameters of a life--cycle consumption model with discrete labor \nsupply choice. A focus of our analysis is the abrupt drop in \nconsumption upon retirement for a typical household. The \nliterature sometimes refers to the drop, which in the U.S. \nConsumer Expenditure Survey we estimate to be approximately 16%, \nas the "retirement--consumption puzzle." Although a downward \nstep in consumption at retirement contradicts predictions from \nlife--cycle models with additively separable consumption and \nleisure, or with continuous work-hour options, a consumption jump \nis consistent with a setup having nonseparable preferences over \nconsumption and leisure and requiring discrete work choices. This \npaper specifies a life--cycle model with these latter two elements, and it uses the empirical magnitude of the drop in consumption at \nretirement to provide an advantageous method of identifying \nstructural parameters --- most importantly, the intertemporal \nelasticity of substitution.

Keywords: lifecycle consumption; retirement consumption puzzle; intertemporal elasticity of substitution

JEL Codes: E21; D11; D12


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
retirement (J26)drop in consumption (D12)
drop in consumption (D12)estimation of IES (C51)
retirement (J26)adjustment in consumption (E21)
household's taste for intertemporal smoothing (D15)direction and magnitude of consumption change (E20)
anticipated increase in leisure (J29)adjustment in consumption (E21)

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