Testing for Causation Using Infinite Order Vector Autoregressive Processes

B-Tier
Journal: Econometric Theory
Year: 1996
Volume: 12
Issue: 1
Pages: 61-87

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

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

Abstract

Tests for Granger-causality have been performed in numerous empirical studies. These tests are usually based on finite order vector autoregressive (VAR) processes, and the assumption is made that the model fitted to the available data corresponds to the true data generating mechanism. In the present study, the more general assumption is made that a finite order VAR model is fitted to a potentially infinite order process. The order is assumed to increase with the sample size. Asymptotic properties of tests for Granger-causality as well as other types of causality concepts are derived. Some limited small sample results are obtained using simulation methods.

Technical Details

RePEc Handle
repec:cup:etheor:v:12:y:1996:i:01:p:61-87_00
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-25