Quantile regression with aggregated data

C-Tier
Journal: Economics Letters
Year: 2012
Volume: 117
Issue: 2
Pages: 401-404

Authors (2)

Nicoletti, Cheti (University of York) Best, Nicky (not in RePEc)

Score contribution per author:

0.503 = (α=2.01 / 2 authors) × 0.5x C-tier

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

Abstract

Analyses using aggregated data may bias inference. In this work we show how to aggregate data to avoid or at least reduce this bias when estimating quantile regressions.

Technical Details

RePEc Handle
repec:eee:ecolet:v:117:y:2012:i:2:p:401-404
Journal Field
General
Author Count
2
Added to Database
2026-01-26