Inflation dynamics in Jamaica: Evidence from the ARMA methodology
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Christian Buelens, 2012. "Inflation forecasting and the crisis: assessing the impact on the performance of different forecasting models and methods," European Economy - Economic Papers 2008 - 2015 451, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
- Mohamed Fenira, 2014. "Democracy: A Determinant Factor in Reducing Inflation," International Journal of Economics and Financial Issues, Econjournals, vol. 4(2), pages 363-375.
- Nyoni, Thabani, 2018. "Modeling and Forecasting Inflation in Zimbabwe: a Generalized Autoregressive Conditionally Heteroskedastic (GARCH) approach," MPRA Paper 88132, University Library of Munich, Germany.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Nyoni, Thabani, 2019. "Inflation dynamics in Niger unlocked: An ARMA approach," MPRA Paper 92450, University Library of Munich, Germany.
- Hapanyengwi, Hamadziripi Oscar & Mutongi, Chipo & Nyoni, Thabani, 2019. "Understanding Inflation Dynamics in the kingdom of Eswantini: A Univariate Approach," MPRA Paper 94560, University Library of Munich, Germany, revised 18 Jun 2019.
- Nyoni, Thabani, 2019. "Understanding inflation patterns in Thailand: An ARMA approach," MPRA Paper 92451, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Tanzania using ARIMA models," MPRA Paper 92458, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Understanding inflation trends in Israel: A univariate approach," MPRA Paper 92427, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Philippines using ARIMA models," MPRA Paper 92429, University Library of Munich, Germany.
- Nyoni, Thabani & Mutongi, Chipo, 2019. "Modeling and forecasting inflation in The Gambia: an ARMA approach," MPRA Paper 93980, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Understanding inflation trends in Finland: A univariate approach," MPRA Paper 92448, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Burundi using ARIMA models," MPRA Paper 92444, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Predicting inflation in the Kingdom of Bahrain using ARIMA models," MPRA Paper 92452, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Uncovering inflation dynamics in Morocco: An ARIMA approach," MPRA Paper 92455, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Predicting inflation in Senegal: An ARMA approach," MPRA Paper 92431, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Forecasting inflation in Burkina Faso using ARMA models," MPRA Paper 92443, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Demystifying inflation dynamics in Rwanda: an ARMA approach," MPRA Paper 93982, University Library of Munich, Germany.
- Nyoni, Thabani & Mutongi, Chipo & Nyoni, Munyaradzi & Hamadziripi, Oscar Hapanyengwi, 2019. "Understanding inflation dynamics in the Kingdom of Eswatini: a univariate approach," MPRA Paper 93979, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Understanding inflation dynamics in the United States of America (USA): A univariate approach," MPRA Paper 92460, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Modeling and forecasting inflation in Lesotho using Box-Jenkins ARIMA models," MPRA Paper 92428, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Predicting inflation in Sri Lanka using ARMA models," MPRA Paper 92432, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "Prediction of Inflation in Algeria using ARIMA models," MPRA Paper 92426, University Library of Munich, Germany.
- Nyoni, Thabani, 2019. "ARIMA modeling and forecasting of inflation in Egypt (1960-2017)," MPRA Paper 92446, University Library of Munich, Germany.
More about this item
Keywords
Forecasting; inflation; Jamaica;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
- E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
- E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
NEP fields
This paper has been announced in the following NEP Reports:- NEP-MAC-2019-03-11 (Macroeconomics)
- NEP-MON-2019-03-11 (Monetary Economics)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:92449. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.