Evaluating the SARB inflation target in context of the inflation thresholds-growth relationship: a rolling regression approach

Abstract The South African Reserve Bank (SARB) has recently expressed a desire to reduce its inflation target midpoint from 4.5 to 3%. This study assesses whether this proposed target aligns with the level of inflation that would have best supported economic growth in South Africa from 2003 to 2024. While past research has suggested optimal inflation thresholds that balance economic growth and financial stability, we offer two new approaches to strengthen the analysis. Firstly, unlike previous studies that have used a single, fixed inflation threshold, we propose that this threshold may change over time. We explore this by applying rolling regressions and Hansen's threshold autoregression (TAR) model to capture how inflation thresholds have evolved. Secondly, we forecast future inflation thresholds by modeling them with the autoregressive moving average (ARMA) approach. Our results indicate that the optimal inflation threshold has varied across different periods, with lower thresholds observed in earlier years and higher thresholds, particularly post-COVID-19. Our findings suggest that the SARB’s proposal to lower the inflation target may be too restrictive for fostering economic growth. Overall, our results support a flexible, state-dependent approach to inflation targeting in which policy is adjusted in line with evolving macroeconomic conditions rather than fixed long-run assumptions about optimal inflation.

Authors

Institutions

Publication Details

Journal
Quality & Quantity
Published
2026-05-29
DOI
https://doi.org/10.1007/s11135-026-02873-0
Primary Topic
Monetary Policy and Economic Impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the SARB inflation target in context of the inflation thresholds-growth relationship: a rolling regression approach

Asanda Fotoyi, Andrew Phiri
Quality & Quantity
Monetary Policy and Economic Impact
article

Evaluating the SARB inflation target in context of the inflation thresholds-growth relationship: a rolling regression approach

Asanda Fotoyi, Andrew Phiri
article en

Abstract

Abstract The South African Reserve Bank (SARB) has recently expressed a desire to reduce its inflation target midpoint from 4.5 to 3%. This study assesses whether this proposed target aligns with the level of inflation that would have best supported economic growth in South Africa from 2003 to 2024. While past research has suggested optimal inflation thresholds that balance economic growth and financial stability, we offer two new approaches to strengthen the analysis. Firstly, unlike previous studies that have used a single, fixed inflation threshold, we propose that this threshold may change over time. We explore this by applying rolling regressions and Hansen's threshold autoregression (TAR) model to capture how inflation thresholds have evolved. Secondly, we forecast future inflation thresholds by modeling them with the autoregressive moving average (ARMA) approach. Our results indicate that the optimal inflation threshold has varied across different periods, with lower thresholds observed in earlier years and higher thresholds, particularly post-COVID-19. Our findings suggest that the SARB’s proposal to lower the inflation target may be too restrictive for fostering economic growth. Overall, our results support a flexible, state-dependent approach to inflation targeting in which policy is adjusted in line with evolving macroeconomic conditions rather than fixed long-run assumptions about optimal inflation.

Quality & Quantity
University of the Witwatersrand (ZA), Nelson Mandela University (ZA)
Nelson Mandela University
Decent work and economic growth
Openalex Percentile: Top 4%
Monetary Policy and Economic Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.