Inference in partially identified heteroskedastic simultaneous equations models

A-Tier
Journal: Journal of Econometrics
Year: 2020
Volume: 218
Issue: 2
Pages: 317-345

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

Identification through heteroskedasticity in heteroskedastic simultaneous equations models (HSEMs) is considered. The possibility that heteroskedasticity identifies structural parameters only partially is explicitly allowed for. The asymptotic properties of the identified parameters are derived. Moreover, tests for identification through heteroskedasticity are developed and their asymptotic distributions are provided. Monte Carlo simulations are used to explore the small sample properties of the asymptotically valid methods. Finally, the approach is applied to investigate the relation between the degree of economic openness and inflation.

Technical Details

RePEc Handle
repec:eee:econom:v:218:y:2020:i:2:p:317-345
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25