Does political instability lead to higher inflation? a panel data analysis
Main Author: | |
---|---|
Publication Date: | 2006 |
Other Authors: | |
Format: | Article |
Language: | eng |
Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Download full: | http://hdl.handle.net/1822/5757 |
Summary: | The main purpose of this paper is to empirically determine the main causes of the worldwide diversity of inflationary experiences, a challenge not yet satisfactorily confronted by the profession for two fundamental reasons. First, empirical models explaining inflation in the literature generally fail to account for inflation inertia and for the endogeneity of important economic and political variables affecting inflation. We use system-generalized method of moments (GMM) estimation applied to dynamic panel data to address some of the econometric limitations of the OLS models previously used in the literature. Second, several political variables used as explanatory variables in earlier studies were relatively poorer. |
id |
RCAP_7eadcd1950fbce4910b40ea5b3fd2c4e |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/5757 |
network_acronym_str |
RCAP |
network_name_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository_id_str |
https://opendoar.ac.uk/repository/7160 |
spelling |
Does political instability lead to higher inflation? a panel data analysisInflationPolitical instabilityInstitutionsSocial SciencesThe main purpose of this paper is to empirically determine the main causes of the worldwide diversity of inflationary experiences, a challenge not yet satisfactorily confronted by the profession for two fundamental reasons. First, empirical models explaining inflation in the literature generally fail to account for inflation inertia and for the endogeneity of important economic and political variables affecting inflation. We use system-generalized method of moments (GMM) estimation applied to dynamic panel data to address some of the econometric limitations of the OLS models previously used in the literature. Second, several political variables used as explanatory variables in earlier studies were relatively poorer.The Ohio State UniversityUniversidade do MinhoVeiga, Francisco JoséAisen, Ari2006-082006-08-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/5757eng"Journal of money, credit and banking". ISSN 0022-2879. 38:5 (Aug. 2006) 1379-1389.0022-287910.1353/mcb.2006.0064info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T06:02:24Zoai:repositorium.sdum.uminho.pt:1822/5757Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T15:39:03.568812Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
dc.title.none.fl_str_mv |
Does political instability lead to higher inflation? a panel data analysis |
title |
Does political instability lead to higher inflation? a panel data analysis |
spellingShingle |
Does political instability lead to higher inflation? a panel data analysis Veiga, Francisco José Inflation Political instability Institutions Social Sciences |
title_short |
Does political instability lead to higher inflation? a panel data analysis |
title_full |
Does political instability lead to higher inflation? a panel data analysis |
title_fullStr |
Does political instability lead to higher inflation? a panel data analysis |
title_full_unstemmed |
Does political instability lead to higher inflation? a panel data analysis |
title_sort |
Does political instability lead to higher inflation? a panel data analysis |
author |
Veiga, Francisco José |
author_facet |
Veiga, Francisco José Aisen, Ari |
author_role |
author |
author2 |
Aisen, Ari |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Veiga, Francisco José Aisen, Ari |
dc.subject.por.fl_str_mv |
Inflation Political instability Institutions Social Sciences |
topic |
Inflation Political instability Institutions Social Sciences |
description |
The main purpose of this paper is to empirically determine the main causes of the worldwide diversity of inflationary experiences, a challenge not yet satisfactorily confronted by the profession for two fundamental reasons. First, empirical models explaining inflation in the literature generally fail to account for inflation inertia and for the endogeneity of important economic and political variables affecting inflation. We use system-generalized method of moments (GMM) estimation applied to dynamic panel data to address some of the econometric limitations of the OLS models previously used in the literature. Second, several political variables used as explanatory variables in earlier studies were relatively poorer. |
publishDate |
2006 |
dc.date.none.fl_str_mv |
2006-08 2006-08-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/5757 |
url |
http://hdl.handle.net/1822/5757 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
"Journal of money, credit and banking". ISSN 0022-2879. 38:5 (Aug. 2006) 1379-1389. 0022-2879 10.1353/mcb.2006.0064 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
The Ohio State University |
publisher.none.fl_str_mv |
The Ohio State University |
dc.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
_version_ |
1833595448015716352 |