Using mobility measures to explain short-run economic performance during COVID’s first wave
People’s mobility behavior and self-correcting economic forces are shown to be key variables in explaining the observed contraction and recovery of the Bolivian economy during Covid’s first wave. ARMAX models are used to explain the growth rate of the monthly index of economic activity in terms of c...
- Autores:
-
Barja, Gover
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Universidad EAFIT
- Repositorio:
- Repositorio EAFIT
- Idioma:
- eng
- OAI Identifier:
- oai:repository.eafit.edu.co:10784/33388
- Acceso en línea:
- https://hdl.handle.net/10784/33388
- Palabra clave:
- ARMAX models
Google mobility
COVID-19 policies
Economic activity
Bolivia
Modelos ARMAX
Google movilidad
Políticas COVID-19
Bolivia
Actividad económica
- Rights
- License
- Copyright © 2021 Gover Barja
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Universidad Católica BolivianaBarja, Gover20212024-02-19T17:15:09Z20212024-02-19T17:15:09Z1657-42062462-8107https://hdl.handle.net/10784/3338810.17230/ecos.2021.53.1People’s mobility behavior and self-correcting economic forces are shown to be key variables in explaining the observed contraction and recovery of the Bolivian economy during Covid’s first wave. ARMAX models are used to explain the growth rate of the monthly index of economic activity in terms of changes in the rate of mobility measures produced by Google, which are argued to capture the complex interactive dynamics of Covid epidemiology, Covid policy and people’s own decisions to minimize health risks, however generating a trade-off with inevitable economic sacrifice, thus affecting aggregate economic activity.El comportamiento de la movilidad de las personas y las fuerzas económicas autocorrectivas demuestran ser variables claves a la hora de explicar la contracción y recuperación observadas en la economía boliviana durante la primera ola de la COVID-19. Se usaron modelos ARMAX para explicar la tasa de crecimiento del índice mensual de actividad económica en términos de los cambios en la tasa de medidas de movilidad generadas por Google, las cuales pretenden capturar el efecto de las dinámicas complejas de la epidemiología y las políticas de la COVID-19 en las decisiones de las personas al sopesar los riesgos para la salud con el inevitable sacrificio económico, afectando así a la actividad económica agregada.application/pdfUniversidad EAFIThttps://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/7106https://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/7106Copyright © 2021 Gover BarjaopenAccessLibre accesohttp://purl.org/coar/access_right/c_abf2Ecos de Economía, Vol. 25, Núm. 53, 2021Using mobility measures to explain short-run economic performance during COVID’s first waveLas medidas de movilidad como explicación de los resultados económicos a corto plazo durante la primera ola de la COVID-19articleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1ARMAX modelsGoogle mobilityCOVID-19 policiesEconomic activityBoliviaModelos ARMAXGoogle movilidadPolíticas COVID-19BoliviaActividad económicaEcos de Economía2553420engORIGINALusing-mobility-measures.pdfTexto completoapplication/pdf502753https://repository.eafit.edu.co/bitstreams/2a237c0d-9136-45c7-9887-37add7772701/downloadef8f7a9e38e2d451976b3742c2ba8f4fMD51THUMBNAILminaitura-ecos_Mesa de trabajo 1.jpgCarátulaimage/jpeg251248https://repository.eafit.edu.co/bitstreams/9f50f76f-f670-4321-93d4-5f8e01be1728/download9b15d674b076c1793a0bc25cebb1bcefMD5210784/33388oai:repository.eafit.edu.co:10784/333882024-02-20 18:18:31.122open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co |
dc.title.eng.fl_str_mv |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
dc.title.spa.fl_str_mv |
Las medidas de movilidad como explicación de los resultados económicos a corto plazo durante la primera ola de la COVID-19 |
title |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
spellingShingle |
Using mobility measures to explain short-run economic performance during COVID’s first wave ARMAX models Google mobility COVID-19 policies Economic activity Bolivia Modelos ARMAX Google movilidad Políticas COVID-19 Bolivia Actividad económica |
title_short |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
title_full |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
title_fullStr |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
title_full_unstemmed |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
title_sort |
Using mobility measures to explain short-run economic performance during COVID’s first wave |
dc.creator.fl_str_mv |
Barja, Gover |
dc.contributor.author.spa.fl_str_mv |
Barja, Gover |
dc.contributor.spa.fl_str_mv |
Universidad Católica Boliviana |
dc.subject.keyword.eng.fl_str_mv |
ARMAX models Google mobility COVID-19 policies Economic activity Bolivia |
topic |
ARMAX models Google mobility COVID-19 policies Economic activity Bolivia Modelos ARMAX Google movilidad Políticas COVID-19 Bolivia Actividad económica |
dc.subject.keyword.spa.fl_str_mv |
Modelos ARMAX Google movilidad Políticas COVID-19 Bolivia Actividad económica |
description |
People’s mobility behavior and self-correcting economic forces are shown to be key variables in explaining the observed contraction and recovery of the Bolivian economy during Covid’s first wave. ARMAX models are used to explain the growth rate of the monthly index of economic activity in terms of changes in the rate of mobility measures produced by Google, which are argued to capture the complex interactive dynamics of Covid epidemiology, Covid policy and people’s own decisions to minimize health risks, however generating a trade-off with inevitable economic sacrifice, thus affecting aggregate economic activity. |
publishDate |
2021 |
dc.date.issued.none.fl_str_mv |
2021 |
dc.date.available.none.fl_str_mv |
2024-02-19T17:15:09Z |
dc.date.accessioned.none.fl_str_mv |
2024-02-19T17:15:09Z |
dc.date.none.fl_str_mv |
2021 |
dc.type.eng.fl_str_mv |
article info:eu-repo/semantics/article publishedVersion info:eu-repo/semantics/publishedVersion |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.type.spa.spa.fl_str_mv |
Artículo |
status_str |
publishedVersion |
dc.identifier.issn.none.fl_str_mv |
1657-4206 2462-8107 |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/10784/33388 |
dc.identifier.doi.none.fl_str_mv |
10.17230/ecos.2021.53.1 |
identifier_str_mv |
1657-4206 2462-8107 10.17230/ecos.2021.53.1 |
url |
https://hdl.handle.net/10784/33388 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.isversionof.none.fl_str_mv |
https://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/7106 |
dc.relation.uri.none.fl_str_mv |
https://publicaciones.eafit.edu.co/index.php/ecos-economia/article/view/7106 |
dc.rights.eng.fl_str_mv |
Copyright © 2021 Gover Barja |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.accessrights.eng.fl_str_mv |
openAccess |
dc.rights.acceso.spa.fl_str_mv |
Libre acceso |
rights_invalid_str_mv |
Copyright © 2021 Gover Barja openAccess Libre acceso http://purl.org/coar/access_right/c_abf2 |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Universidad EAFIT |
dc.source.spa.fl_str_mv |
Ecos de Economía, Vol. 25, Núm. 53, 2021 |
institution |
Universidad EAFIT |
bitstream.url.fl_str_mv |
https://repository.eafit.edu.co/bitstreams/2a237c0d-9136-45c7-9887-37add7772701/download https://repository.eafit.edu.co/bitstreams/9f50f76f-f670-4321-93d4-5f8e01be1728/download |
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repository.name.fl_str_mv |
Repositorio Institucional Universidad EAFIT |
repository.mail.fl_str_mv |
repositorio@eafit.edu.co |
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1814110540843188224 |