Nonparametric heteroskedasticity in persistent panel processes: An application to earnings dynamics

A-Tier
Journal: Journal of Econometrics
Year: 2018
Volume: 203
Issue: 2
Pages: 283-296

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This paper considers a dynamic panel model where a latent state variable follows a unit root process with nonparametric heteroskedasticity. We develop constructive nonparametric identification and estimation of the skedastic function. Applying this method to the Panel Survey of Income Dynamics (PSID) in the framework of earnings dynamics, we found that workers with lower pre-recession permanent earnings had higher earnings risk during the three most recent recessions.

Technical Details

RePEc Handle
repec:eee:econom:v:203:y:2018:i:2:p:283-296
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-24