EconPapers    
Economics at your fingertips  
 

The age‐time‐cohort problem and the identification of structural parameters in life‐cycle models

Sam Schulhofer‐Wohl
Authors registered in the RePEc Author Service: Sam Schulhofer-Wohl

Quantitative Economics, 2018, vol. 9, issue 2, 643-658

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).

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://doi.org/10.3982/QE738

Related works:
Working Paper: The Age-Time-Cohort Problem and the Identification of Structural Parameters in Life-Cycle Models (2017) Downloads
Working Paper: The age-time-cohort problem and the identification of structural parameters in life-cylce models (2013) Downloads
Working Paper: The Age-Time-Cohort Problem and the Identification of Structural Parameters in Life-Cycle Models (2012) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:quante:v:9:y:2018:i:2:p:643-658

Ordering information: This journal article can be ordered from
https://www.econometricsociety.org/membership

Access Statistics for this article

More articles in Quantitative Economics from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-31
Handle: RePEc:wly:quante:v:9:y:2018:i:2:p:643-658