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Empirical analysis of inflation dynamics : evidence from Ghana and South Africa

Thesis (Ph.D. (Statistics)) -- University of Limpopo, 2022 / Using the ARFIMA (autoregressive and fractionally integrated moving aver age) model extended with sGARCH (standard generalised autoregressive con ditional heteroscedasticity) and ’gjrGARCH (Glosten-Jagannathan-Runkle gen eralised autoregressive conditional heteroscedascity) innovations, fractional in tegration approach and state space model, this study has empirically examined
persistency of inflation dynamics of Ghana and South Africa, the only two coun tries in Sub-Saharan Africa with Inflation Targeting (IT) monetary policy. The
first part of the analysis employed monthly CPI (Consumer Price Index) in flation series for the period January 1971 to October 2014 obtained from the
Bank of Ghana (BoG), and for the period January 1995 to December 2014 ob tained from Statistics South Africa. The second part involves the estimation
of threshold effect of inflation on economic growth using annual data obtained
from the IMF (International Monetary Fund) database for the period 1981 to
2014, for both countries.
Results from the study showed that structural breaks, long memory and non linearities (or regime shifts) are largely responsible for inflation persistence,
hence the ever-changing nature of inflation rates of Ghana and South Africa.
ARFIMA(3,0.35,1)-‘gjrGARCH(1,1) under Generalised Error Distribution (GED)
and ARFIMA(3,0.50,1)-‘gjrGARCH(1,1) under Student-t Distribution (STD) mod els provided the best fit for persistence in the conditional mean (or level) of CPI
for Ghana and South Africa, respectively. The results from these models pro vided evidence of time-varying conditional mean and volatility in CPI inflation
rates of both countries. The two models also revealed an asymmetric effect of
inflationary shocks, where negative shocks appear to have greater impact than
positive shocks, in terms of persistence on the conditional mean with time varying volatility.
This thesis proposes a model that combines fractional integration with non linear deterministic terms based on the Chebyshev polynomials in time for
the analysis of CPI inflation rates of Ghana and South Africa. We tested for
non-linear deterministic terms in the context of fractional integration and esti mated the fractional differencing parameters, d to be 1.11 and 1.32 respectively,
for the Ghanaian and the South African inflation rates, but the non-linear
trends were found to be statistically insignificant in the two series. New ev idence from this thesis depicts that inflation rate of Ghana is highly persistent
and non-mean reverting, with an estimated fractional differencing parameter,
d > 1.0, and will therefore require some policy action to steer inflation back to
stability. However, the South African inflation series was found to be a cyclical
process with an order of integration estimated to be d = 0.7, depicting mean
reversion, with the length of the cycles approximated to last for 80 months.
Finally, the thesis incorporated structural breaks, long memory, non-linearity,
and some explanatory variables into a state space model and estimated the
threshold effect of inflation on economic growth. The empirical results suggest
that inflation below the estimated levels of 9% and 6% for Ghana and South
Africa respectively, will be conducive for economic growth.
The policy implications of these results for both countries are as follows. First,
both series had similar properties responsible for inducing inflation persistence
such as structural breaks, non-linearities, long memory and asymmetric re sponse to negatives shocks - but with varied degrees of magnitude. For both countries, the conditional mean and unobserved components such as volatility
for both countries were found to be time-varying. This thesis, therefore, recom mends to the BoG and the South African Reserve Bank (SARB) - responsible
for monetary policies, and the Finance Ministers of both governments - respon sible for fiscal policies, to take the above-mentioned properties into account in
the formulation of their monetary policies.
Second, the thesis recommends that the BoG and the SARB consolidate the IT
policy, since keeping inflation below the targets set of 9% and 6%, respectively
for Ghana and South Africa, will boost economic growth. Third, policymakers
could also design measures (monetary and fiscal policies) such as increase in
interest rates, credit control, and reduction of unnecessary expenditure, among
others, to control inflation due to its adverse effects on market volatility. Even
though an increase in interest rates could assist in curtailing the recent and
anticipated increase in inflation rates in both countries, where targets have
been missed by Ghana and South Africa, it will also be prudent to legislate
monetary policies around demand-supply side since the problem of both coun tries appears to be more of a structuralist than a monetarist. It is, therefore,
recommended that both countries tighten the IT monetary policy in order to re duce inflation persistence. This will eventually impact on poverty and income
distribution with ramifications for economic growth and/or development.
The fourth implication of these results is that governments and central banks
should be mindful of the actions and decisions they take, in the sense that
unguarded decisions and unnecessary alarms could raise uncertainties in the
economy, which could, in turn, affect the future trajectory of inflation. Finally,
the thesis recommends that governments of both countries strengthen the pri vate sector, which is the engine of growth. For small and open economies such
as Ghana and South Africa, this will grow the economy through job creation

and restore investor confidence. / National Research Foundation (NRF),
Department of Science and Technology (DST),
Telkom’s Tertiary Education Support Programme (TESP) and the NRF-DST Centre of
Excellence for Mathematical and Statistical Sciences (CoE-MaSS)

Identiferoai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:ul/oai:ulspace.ul.ac.za:10386/4016
Date January 2017
CreatorsBoateng, Alexander
ContributorsLesaoana, H. J., Siweya, H. J., Belete, A.
Source SetsSouth African National ETD Portal
LanguageEnglish
Detected LanguageEnglish
TypeThesis
Formatxxvii, 219 leaves
RelationPDF

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