Measuring correlations of integrated but not cointegrated variables: A semiparametric approach

A-Tier
Journal: Journal of Econometrics
Year: 2011
Volume: 164
Issue: 2
Pages: 252-267

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

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

Abstract

Many macroeconomic and financial variables are integrated of order one (or I(1)) processes and are correlated with each other but not necessarily cointegrated. In this paper, we propose to use a semiparametric varying coefficient approach to model/capture such correlations. We propose two consistent estimators to study the dependence relationship among some integrated but not cointegrated time series variables. Simulations are used to examine the finite sample performances of the proposed estimators.

Technical Details

RePEc Handle
repec:eee:econom:v:164:y:2011:i:2:p:252-267
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25