Bootstrapping quantile correlations with an application for income status across generations

C-Tier
Journal: Economics Letters
Year: 2023
Volume: 228
Issue: C

Score contribution per author:

0.335 = (α=2.01 / 3 authors) × 0.5x C-tier

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

Abstract

We investigate statistical inference for a quantile correlation coefficient. We propose a bootstrap approach and demonstrate the validity of the method. To illustrate the approach, we estimate an intergenerational income parameter using the Panel Study of Income Dynamics.

Technical Details

RePEc Handle
repec:eee:ecolet:v:228:y:2023:i:c:s0165176523001854
Journal Field
General
Author Count
3
Added to Database
2026-01-25