Tumala, Mohammed M and Olubusoye, Olusanya E and Yaaba, Baba N and Yaya, OlaOluwa S and Akanbi, Olawale B (2017): Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks.
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Abstract
As a result of the adverse macroeconomic effect of inflation on welfare, fiscal budgeting, trade performance, international competitiveness and the whole economy, inflation still remains a subject of utmost concern and interest to policy makers. The traditional Philips curve as well as other methodologies have been criticized for their inability to track correctly the pattern of inflation, particularly, these models do not allow for enough variables to be included as part of the regressors, and judgment is often made by a single model. In this work, model averaging techniques via Bayesian and frequentist approach were considered. Specifically, we considered the Bayesian model averaging (BMA) and Frequentist model averaging (FMA) techniques to model and forecast future path of CPI inflation in Nigeria using a wide range of variables. The results indicated that both in-sample and out-of-sample forecasts were highly reliable, judging from the various forecast performance criteria. Various policy scenarios conducted were highly fascinating both from the theoretical perspective and the prevailing economic situation in the country.
Item Type: | MPRA Paper |
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Original Title: | Forecasting Nigerian Inflation using Model Averaging methods: Modelling Frameworks to Central Banks |
Language: | English |
Keywords: | Bayesian model averaging; Forecasting; Frequentist approach; Inflation rate; Nigeria |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C30 - General C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models C - Mathematical and Quantitative Methods > C5 - Econometric Modeling |
Item ID: | 88754 |
Depositing User: | Dr OlaOluwa Yaya |
Date Deposited: | 01 Sep 2018 17:55 |
Last Modified: | 01 Oct 2019 22:42 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/88754 |