Spurious regression: A higher-order problem

C-Tier
Journal: Economics Letters
Year: 2011
Volume: 111
Issue: 2
Pages: 141-143

Score contribution per author:

1.005 = (α=2.01 / 1 authors) × 0.5x C-tier

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

Abstract

This paper investigates solving the spurious regression problem using an autocorrelation correction. It is shown that if the relevant data generation processes contain higher-order terms, this solution is not as effective as in the first-order case.

Technical Details

RePEc Handle
repec:eee:ecolet:v:111:y:2011:i:2:p:141-143
Journal Field
General
Author Count
1
Added to Database
2026-01-29