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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2017
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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. |
format | Online Article Text |
id | pubmed-5432674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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