Working Paper
The Age-Time-Cohort Problem and the Identification of Structural Parameters in Life-Cycle Models
Abstract: A standard approach to estimating structural parameters in life-cycle models imposes sufficient assumptions on the data to identify the ?age profile\" of outcomes, then chooses model parameters so that the model's age profile matches this empirical age profile. I show that this approach is both incorrect and unnecessary: incorrect, because it generally produces inconsistent estimators of the structural parameters, and unnecessary, because consistent estimators can be obtained under weaker assumptions. I derive an estimation method that avoids the problems of the standard approach. I illustrate the method?s benefits analytically in a simple model of consumption inequality and numerically by reestimating the classic life-cycle consumption model of Gourinchas and Parker (2002).
Keywords: Age-time-cohort identification problem; Life-cycle models;
JEL Classification: C23; D91; J1;
Access Documents
File(s):
File format is application/pdf
https://chicagofed.org/~/media/publications/working-papers/2017/wp2017-18-pdf.pdf
Description: Full text
Authors
Bibliographic Information
Provider: Federal Reserve Bank of Chicago
Part of Series: Working Paper Series
Publication Date: 2017-10-19
Number: WP-2017-18
Pages: 56 pages