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A cross-country Exchange Market Pressure (EMP) dataset

The data presented in this article are related to the research article titled - “An exchange market pressure measure for cross country analysis” (Patnaik et al. [1]). In this article, we present the dataset for Exchange Market Pressure values (EMP) for 139 countries along with their conversion facto...

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Detalles Bibliográficos
Autores principales: Desai, Mohit, Patnaik, Ila, Felman, Joshua, Shah, Ajay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432674/
https://www.ncbi.nlm.nih.gov/pubmed/28560270
http://dx.doi.org/10.1016/j.dib.2017.04.059
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author Desai, Mohit
Patnaik, Ila
Felman, Joshua
Shah, Ajay
author_facet Desai, Mohit
Patnaik, Ila
Felman, Joshua
Shah, Ajay
author_sort Desai, Mohit
collection PubMed
description The data presented in this article are related to the research article titled - “An exchange market pressure measure for cross country analysis” (Patnaik et al. [1]). In this article, we present the dataset for Exchange Market Pressure values (EMP) for 139 countries along with their conversion factors, ρ (rho). Exchange Market Pressure, expressed in percentage change in exchange rate, measures the change in exchange rate that would have taken place had the central bank not intervened. The conversion factor ρ can interpreted as the change in exchange rate associated with $1 billion of intervention. Estimates of conversion factor ρ allow us to calculate a monthly time series of EMP for 139 countries. Additionally, the dataset contains the 68% confidence interval (high and low values) for the point estimates of ρ’s. Using the standard errors of estimates of ρ’s, we obtain one sigma intervals around mean estimates of EMP values. These values are also reported in the dataset.
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spelling pubmed-54326742017-05-30 A cross-country Exchange Market Pressure (EMP) dataset Desai, Mohit Patnaik, Ila Felman, Joshua Shah, Ajay Data Brief Data Article The data presented in this article are related to the research article titled - “An exchange market pressure measure for cross country analysis” (Patnaik et al. [1]). In this article, we present the dataset for Exchange Market Pressure values (EMP) for 139 countries along with their conversion factors, ρ (rho). Exchange Market Pressure, expressed in percentage change in exchange rate, measures the change in exchange rate that would have taken place had the central bank not intervened. The conversion factor ρ can interpreted as the change in exchange rate associated with $1 billion of intervention. Estimates of conversion factor ρ allow us to calculate a monthly time series of EMP for 139 countries. Additionally, the dataset contains the 68% confidence interval (high and low values) for the point estimates of ρ’s. Using the standard errors of estimates of ρ’s, we obtain one sigma intervals around mean estimates of EMP values. These values are also reported in the dataset. Elsevier 2017-05-04 /pmc/articles/PMC5432674/ /pubmed/28560270 http://dx.doi.org/10.1016/j.dib.2017.04.059 Text en © 2017 Published by Elsevier Inc. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Desai, Mohit
Patnaik, Ila
Felman, Joshua
Shah, Ajay
A cross-country Exchange Market Pressure (EMP) dataset
title A cross-country Exchange Market Pressure (EMP) dataset
title_full A cross-country Exchange Market Pressure (EMP) dataset
title_fullStr A cross-country Exchange Market Pressure (EMP) dataset
title_full_unstemmed A cross-country Exchange Market Pressure (EMP) dataset
title_short A cross-country Exchange Market Pressure (EMP) dataset
title_sort cross-country exchange market pressure (emp) dataset
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5432674/
https://www.ncbi.nlm.nih.gov/pubmed/28560270
http://dx.doi.org/10.1016/j.dib.2017.04.059
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