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Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables

Knowledge of contagion among economies is a relevant issue in economics. The canonical model of contagion is an alternative in this case. Given the existence of endogenous variables in the model, instrumental variables can be used to decrease the bias of the OLS estimator. In the presence of heteros...

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Detalles Bibliográficos
Autores principales: Ribeiro, André L. P., Hotta, Luiz K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193442/
https://www.ncbi.nlm.nih.gov/pubmed/28030628
http://dx.doi.org/10.1371/journal.pone.0168967
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author Ribeiro, André L. P.
Hotta, Luiz K.
author_facet Ribeiro, André L. P.
Hotta, Luiz K.
author_sort Ribeiro, André L. P.
collection PubMed
description Knowledge of contagion among economies is a relevant issue in economics. The canonical model of contagion is an alternative in this case. Given the existence of endogenous variables in the model, instrumental variables can be used to decrease the bias of the OLS estimator. In the presence of heteroskedastic disturbances this paper proposes the use of conditional volatilities as instruments. Simulation is used to show that the homoscedastic and heteroskedastic estimators which use them as instruments have small bias. These estimators are preferable in comparison with the OLS estimator and their asymptotic distribution can be used to construct confidence intervals.
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spelling pubmed-51934422017-01-19 Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables Ribeiro, André L. P. Hotta, Luiz K. PLoS One Research Article Knowledge of contagion among economies is a relevant issue in economics. The canonical model of contagion is an alternative in this case. Given the existence of endogenous variables in the model, instrumental variables can be used to decrease the bias of the OLS estimator. In the presence of heteroskedastic disturbances this paper proposes the use of conditional volatilities as instruments. Simulation is used to show that the homoscedastic and heteroskedastic estimators which use them as instruments have small bias. These estimators are preferable in comparison with the OLS estimator and their asymptotic distribution can be used to construct confidence intervals. Public Library of Science 2016-12-28 /pmc/articles/PMC5193442/ /pubmed/28030628 http://dx.doi.org/10.1371/journal.pone.0168967 Text en © 2016 Ribeiro, Hotta http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Ribeiro, André L. P.
Hotta, Luiz K.
Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title_full Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title_fullStr Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title_full_unstemmed Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title_short Estimation of the Heteroskedastic Canonical Contagion Model with Instrumental Variables
title_sort estimation of the heteroskedastic canonical contagion model with instrumental variables
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5193442/
https://www.ncbi.nlm.nih.gov/pubmed/28030628
http://dx.doi.org/10.1371/journal.pone.0168967
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