Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model

Inflation persistence (or inertia) has been a problem in many developing countries and due to the relationship between inflation and economic growth, much research has been conducted on the literature to study closely these macroeconomic variables in developing countries (Brick, 2010; Gokal and Hani...

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Main Authors: Patrick Gbolonyo, Gideon Boyetey, Xiaorong Yang
Format: Article
Language:English
Published: Mashhad: Behzad Hassannezhad Kashani 2020-10-01
Series:International Journal of Management, Accounting and Economics
Subjects:
Online Access:https://www.ijmae.com/article_119351_0c02e9a6e7254141f211f3381141a5d8.pdf
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author Patrick Gbolonyo
Gideon Boyetey
Xiaorong Yang
author_facet Patrick Gbolonyo
Gideon Boyetey
Xiaorong Yang
author_sort Patrick Gbolonyo
collection DOAJ
description Inflation persistence (or inertia) has been a problem in many developing countries and due to the relationship between inflation and economic growth, much research has been conducted on the literature to study closely these macroeconomic variables in developing countries (Brick, 2010; Gokal and Hanif, 2004). This paper however made use of a superior method known as quantile autoregressive model proposed by Koenker and Xiao (2006) to estimate the persistence of inflation, the dynamic behavior and examine how diverse shocks may perhaps affect the rate of inflation within different quantiles. The data employed in this study is the monthly year-on-year Ghana inflation rate from January 2000 to July 2019. The result shows that Ghana inflation rates exhibits low persistence at both lower and higher quantiles and a mean reversion behavior across quantiles. Also, we observe that Ghana inflation rate is globally stationary as well as portraying non-stationary behavior in about 10% of the sampled observations. Evidently, the results again reveal that Ghana inflation rate has irregular characteristics at different quantiles in its conditional distribution. Also, there is a bidirectional relationship between Ghana overall inflation rate and its components (food and non-food inflation).
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spelling doaj.art-31e0b0a04f744f86948776fe42da8d3f2023-09-07T21:45:10ZengMashhad: Behzad Hassannezhad KashaniInternational Journal of Management, Accounting and Economics2383-21262020-10-0171055857910.5281/zenodo.4274823119351Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive ModelPatrick Gbolonyo0Gideon Boyetey1Xiaorong Yang2College of Statistics & Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, ChinaCollege of Statistics & Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, ChinaCollege of Statistics & Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, ChinaInflation persistence (or inertia) has been a problem in many developing countries and due to the relationship between inflation and economic growth, much research has been conducted on the literature to study closely these macroeconomic variables in developing countries (Brick, 2010; Gokal and Hanif, 2004). This paper however made use of a superior method known as quantile autoregressive model proposed by Koenker and Xiao (2006) to estimate the persistence of inflation, the dynamic behavior and examine how diverse shocks may perhaps affect the rate of inflation within different quantiles. The data employed in this study is the monthly year-on-year Ghana inflation rate from January 2000 to July 2019. The result shows that Ghana inflation rates exhibits low persistence at both lower and higher quantiles and a mean reversion behavior across quantiles. Also, we observe that Ghana inflation rate is globally stationary as well as portraying non-stationary behavior in about 10% of the sampled observations. Evidently, the results again reveal that Ghana inflation rate has irregular characteristics at different quantiles in its conditional distribution. Also, there is a bidirectional relationship between Ghana overall inflation rate and its components (food and non-food inflation).https://www.ijmae.com/article_119351_0c02e9a6e7254141f211f3381141a5d8.pdfinflationquantile autoregressiveghanapersistencefood and non-food indices
spellingShingle Patrick Gbolonyo
Gideon Boyetey
Xiaorong Yang
Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
International Journal of Management, Accounting and Economics
inflation
quantile autoregressive
ghana
persistence
food and non-food indices
title Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
title_full Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
title_fullStr Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
title_full_unstemmed Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
title_short Analyzing Inflation Dynamics in Ghana: Evidence as of Quantile Autoregressive Model
title_sort analyzing inflation dynamics in ghana evidence as of quantile autoregressive model
topic inflation
quantile autoregressive
ghana
persistence
food and non-food indices
url https://www.ijmae.com/article_119351_0c02e9a6e7254141f211f3381141a5d8.pdf
work_keys_str_mv AT patrickgbolonyo analyzinginflationdynamicsinghanaevidenceasofquantileautoregressivemodel
AT gideonboyetey analyzinginflationdynamicsinghanaevidenceasofquantileautoregressivemodel
AT xiaorongyang analyzinginflationdynamicsinghanaevidenceasofquantileautoregressivemodel