Measuring high-frequency income risk from low-frequency data
Paul Klein and
Irina Telyukova ()
Journal of Economic Dynamics and Control, 2013, vol. 37, issue 3, 535-542
Abstract:
We estimate a monthly income process using annual longitudinal household-level income data, in order to understand the nature of income risk faced by households at high frequency, and to provide an input for models that wish to study household decision-making at higher frequency than available data. At both frequencies, idiosyncratic earnings shocks have a highly persistent component. At monthly frequency, transitory shocks account for most of the earnings variance; at annual frequency, the persistent component is dominant. We apply our estimates in the context of a standard incomplete-market model, and show that decision-making frequency per se makes a small difference.
Keywords: Idiosyncratic income uncertainty; Frequency; Estimation (search for similar items in EconPapers)
JEL-codes: E21 E24 (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016518891200200X
Full text for ScienceDirect subscribers only
Related works:
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:eee:dyncon:v:37:y:2013:i:3:p:535-542
DOI: 10.1016/j.jedc.2012.10.002
Access Statistics for this article
Journal of Economic Dynamics and Control is currently edited by J. Bullard, C. Chiarella, H. Dawid, C. H. Hommes, P. Klein and C. Otrok
More articles in Journal of Economic Dynamics and Control from Elsevier
Bibliographic data for series maintained by Catherine Liu ().