Accounting for missing values in score-driven time-varying parameter models

C-Tier
Journal: Economics Letters
Year: 2016
Volume: 148
Issue: C
Pages: 96-98

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

Two alternative perspectives on dealing with missing data in the context of the score-driven time-varying parameter models of~Creal et al. (2013) and Harvey (2013) lead to precisely the same dynamic transition equations. This ties the score-driven approach theoretically to the Expectation–Maximization framework for dealing with missing values.

Technical Details

RePEc Handle
repec:eee:ecolet:v:148:y:2016:i:c:p:96-98
Journal Field
General
Author Count
3
Added to Database
2026-01-25