Long-Run Identification in a Fractionally Integrated System

A-Tier
Journal: Journal of Business & Economic Statistics
Year: 2013
Volume: 31
Issue: 4
Pages: 438-450

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

We propose an extension of structural fractionally integrated vector autoregressive models that avoids certain undesirable effects on the impulse responses that occur if long-run identification restrictions are imposed. We derive the model's Granger representation and investigate the effects of long-run restrictions. Simulations illustrate that enforcing integer integration orders can have severe consequences for impulse responses. In a system of U.S. real output and aggregate prices, the effects of structural shocks strongly depend on the specification of the integration orders. In the statistically preferred fractional model, shocks that are typically interpreted as demand disturbances have a very brief influence on GDP. Supplementary materials for this article are available online.

Technical Details

RePEc Handle
repec:taf:jnlbes:v:31:y:2013:i:4:p:438-450
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-29