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Investigating the relationship between inflation and growth: Evidence from panel ARDL models

Authors: Jenq Fei Chu; Siok Kun Sek;

Investigating the relationship between inflation and growth: Evidence from panel ARDL models

Abstract

The study of the relationship between inflation and growth is important as it provides crucial information for policy decisions. In this study, we seek to investigate the short-run and long-run relationship between inflation and growth in 3 groups of countries: high income, low income and middle income groups using the Auto Regression Distributed Lag models. The MG (Mean Group) and PMG (Pooled Mean Group) estimations are applied in this analysis. The Hausman Test is conducted to decide between the MG and PMG estimators. The panel data take the period of 1960-2012. As the result, MG estimator is preferred by all the 3 groups of countries. The results provide the dynamic relationships (short-run and the long-run relationships) between the three variables tested. The highly significant error correction term in the low income and middle income group further confirms the existence of a stable long-run relationship. The long-run relationship exists in the high income group but it is not significant. Comparisons of the results across the three groups of countries have revealed deeper information on the relationship across different income levels.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
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