Scinovex
articleTop 1% cited

Identification Through Heteroskedasticity

The Review of Economics and Statistics · 2003 · Vol. 85(4) · pp. 777–792
Roberto Rigobón

Abstract

This paper develops a method for solving the identification problem that arises in simultaneous-equation models. It is based on the heteroskedasticity of the structural shocks. For simplicity, I consider heteroskedasticity that can be described as a two-regime process and show that the system is just identified. I discuss identification under general conditions, such as more than two regimes, when common unobservable shocks exist, and situations in which the nature of the heteroskedasticity is misspecified. Finally, I use this methodology to measure the contemporaneous relationship between the returns on Argentinean, Brazilian, and Mexican sovereign bonds—a case in which standard identification methodologies do not apply.

Monetary Policy and Economic ImpactFinancial Risk and Volatility ModelingMarket Dynamics and VolatilityHeteroscedasticityIdentification (biology)UnobservableEconometricsEconomicsMeasure (data warehouse)Computer scienceData mining
Citations
925
FWCI
25.72
field-weighted impact
References
8
Percentile
99%
vs. same field & year
Citations per year
Cited by
Globalization and the Gains From Variety
The Quarterly Journal of Economics · 2006 · 2,458 citations
References
The American Economic Review
American Economic Review · 2012 · 13,823 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.