Inflation and Macroeconomic Policy in Sierra Leone
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Summary: Inflation in Sierra Leone has surged recently following external shocks and loose macroeconomic policies. We use a structural vector autoregression identified via heteroskedasticity to quantify the role of fiscal and monetary policies relative to other shocks. We find that loose fiscal and monetary policies contributed substantially to the sharp increase in inflation. Additionally, between 2017 and 2020, tight macroeconomic policy contributed substantially to disinflation. These results underscore the importance of macroeconomic tightening to achieve the Bank of Sierra Leone’s medium-term objective of single-digit inflation.

Inflation and Macroeconomic Policy in Sierra Leone1

Summary: Inflation in Sierra Leone has surged recently following external shocks and loose macroeconomic policies. We use a structural vector autoregression identified via heteroskedasticity to quantify the role of fiscal and monetary policies relative to other shocks. We find that loose fiscal and monetary policies contributed substantially to the sharp increase in inflation. Additionally, between 2017 and 2020, tight macroeconomic policy contributed substantially to disinflation. These results underscore the importance of macroeconomic tightening to achieve the Bank of Sierra Leone’s medium-term objective of single-digit inflation.

A. Introduction

1. Sierra Leone has experienced a sharp rise in inflation over the past three years, driven by a succession of external shocks and loose fiscal and monetary policies. Inflation increased from 18 percent in 2021 to 37 percent in 2022, before peaking at 56 percent end October 2023. It has since decreased to 36 percent as of May 2024, but remains elevated compared to peers. It also remains above the Bank of Sierra Leone’s (BSL’s) medium-term objective of single-digit inflation.

2. In this chapter, we ask what role fiscal and monetary policies played in the recent inflation surge. Our main finding is that macroeconomic policies played a decisive role in driving the sharp increase in inflation. The key policy implication is that the macroeconomic tightening supported by the new ECF arrangement will be critical in continuing to bring inflation down towards the BSL’s medium-term objective of single digit inflation.

3. The remainder of this chapter is organized as follows. In Section B, we document that the recent inflation surge was characterized by external shocks and loose fiscal and monetary policy. In Section C, we use a structural vector autoregression (SVAR) to quantify the role of fiscal and monetary policies in the recent increase in inflation relative to other shocks. We find evidence that monetary and fiscal policies explain more than half of the inflation surge in 2022 and 2023.

B. The Consumer Price Index and the Recent Surge in Inflation

4. The CPI basket contains 440 items with weights derived from the Sierra Leone Integrated Household Survey of 2018. Food makes up 40 percent of the basket, and includes staples such as rice, palm oil, cassava, Kinni-fish, and chicken. The weights on housing and utilities (8.9 percent), and transport (8.6 percent) are also significant (Text Table 1).

Text Table 1.

Sierra Leone: COICOP of the CPI Basket

(Percent)

article image
Sources: Statistics Sierra Leone.

5. Inflation surged dramatically after 2021 (Text Figure 1a). Inflation peaked at 56 percent in October 2023 before decreasing to 36 percent in May 2024.

6. Global food-price shocks and regulatory price increases contributed to the recent surge in inflation. Following shocks to global food prices, depreciation of the Leone, as well as domestic crop failures, food inflation peaked at 65 percent in October 2023, with inflation rates for some staples above 100 percent (Text Figure 1b). This sharp increase in food inflation resulted in a cost-of-living crisis, with the World Food Program estimating that 78 percent of households faced severe food insecurity in 2023. Inflation in the transport sector surged due to the government’s efforts to rationalize fuel and energy subsidies while curbing budget overruns. This involved a substantial hike in fuel pump and electricity prices, which rose by 40 percent and 91 percent in August and September 2023, respectively. Inflation in the hospitality industry reflects higher utility costs, including electricity and water.

7. Nevertheless, external shocks cannot fully account for the recent surge in inflation. First, despite facing similar external shocks, inflation in Sierra Leone is substantially higher than in peers (Text Figure 1c and 1d). Second, the surge is broad-based and persistent (Text Figure 1a). Third, the timing of the external shocks documented in the previous paragraph do not match the start and peak of the inflation surge.

A004fig1
Sources: Statistics Sierra Leone, IMF staff calculations, and WEO data.

8. Over the same period, fiscal and monetary policy were loose. The overall primary deficit in percent of GDP increased from 1.2 percentage points of GDP in 2019 to around 3.6 percentage points in 2022. Government spending increased during and in the wake of the COVID-19 pandemic as a result of emergency spending, the quick-action economic recovery program aimed to keep Sierra Leone’s youth employed in public work programs, the bail out of several state-owned agencies, increased cash transfers, and extensive road projects. A security incident in July 2022 and deadly floods in August led to additional spending to resettle affected persons. Furthermore, spending pressures picked up ahead of the general elections in June 2023. Meanwhile, the resulting surge in the government’s domestic financing need exceeded the domestic financial sector’s lending capacity. Consequently, the BSL began to purchase large volumes of government securities to finance the growing fiscal deficit. Year-on-year (yoy) reserve-money growth increased from 8.7 percent in December 2021 to 32 percent in December 2022, before accelerating to 63 percent in June 2023. This acceleration of reserve money growth is highly correlated with the rise in inflation (Text Figure 2a). While the BSL increased its policy rate by 8 percentage points between January 2022 and March 2024, ex-post real interest rates continue to be negative (Text Figure 4b).

A004fig2
Sources: Statistics Sierra Leone and IMF staff calculations.

C. Estimating the Effect of Macroeconomic Policy on Inflation

9. This section analyzes the extent to which the recent surge in inflation was driven by macroeconomic policy as opposed to other shocks to inflation. Box 1 provides an overview of existing empirical studies of inflation dynamics in Sierra Leone.

Methodology

10. We consider a three-variable SVAR

yt=α0+j=1pAjytj+ut,

where ytt,mt,bt]', πt is quarter-on-quarter (qoq) CPI inflation, mt is qoq reserve-money growth, bt is the primary balance relative to GDP, a0 is a constant, Aj is a coefficient matrix, p = 4 is the number of lags, and ut is the vector of reduced-form errors related to the vector of uncorrelated structural errors εt := [επtmtbt]' via the relation ut = Bεt, for some invertible matrix B.

11. To assess the role of monetary and fiscal policy in driving inflation, we decompose εt into the shocks contained in £t (see, e.g. Killian and Lütkepohl (2017, pp.109-116)). This requires estimating Aj and B. We estimate Aj by OLS using data spanning 2009Q2-2023Q4. B is unidentified without imposing further restrictions. We identify B using the heteroskedasticity-based method proposed in Lewis (2021), combined with mild restrictions on B.

Sierra Leone: Summary of Selected Empirical Studies of Inflation

Jackson, Kamara, and Kamara (2023) investigated the factors driving inflation in Sierra Leone using the autoregressive distributed lag (ARDL) model. They showed that the exchange rate, output, fiscal balance, currency in circulation, and lending rate are the primary long-run drivers of inflation. In the short run, all variables except RGDP and the exchange rate had a major impact on inflation dynamics.

The IMF (2022) conducted a panel fixed effects regression to assess the long-term determinants of inflation in Sierra Leone and found that the country's long-term average inflation is mostly driven by monetary and exchange rate dynamics. In the short run, exchange rate depreciation and a terms of trade deterioration are associated with higher inflation, although their impacts are felt with a lag. The impact of changes in the monetary base in the ARDL model were ambiguous, while a monetary policy shock takes several quarters to feed through into inflation.

Tarawalie and Kamara (2022) used an OLS technique to explore the link between inflation and economic growth and establish the threshold level of inflation in Sierra Leone. The findings indicated that a 10.3 percent inflation rate is the most favorable for growth.

Hooley et al. (2021) in their analyses of the causes and effects of fiscal dominance over monetary policy in SSA, including Sierra Leone found that lending by central banks to the government has on average a positive impact on inflation and leads to depreciation of the exchange rate.

Jackson et al (2020) used an unrestricted VAR to examine the relative benefits of the potential adoption of inflation targeting in Sierra Leone. The results indicated a weak relation between inflation and money supply in the short run. The authors argue that an IT framework is thus not a viable option for both the short and medium term.

Jackson, Tamuke, and Jabbie (2020) developed a short-term inflation forecasting model using the ARIMA model to examine inflation in Sierra Leone. The findings showed that both internal and external shocks can have a considerable impact on the headline inflation.

Danladi (2020) used the cointegration and vector error correction techniques to investigate how changes in global commodities prices affected consumer pricing in Sierra Leone. The findings showed that the dynamics of the prices of rice, oil, and cocoa are key short- and long-term drivers of domestic consumer prices.

Danlami et al. (2018) used time series data and ARDL model to examine the influence of interest rates on inflation in Sierra Leone. They found that interest rates had an inflationary effect on consumer prices over the long and short terms.

Korsu (2014) used an ARDL model to analyze the inflation effect of fiscal deficits and found that inflation is positively associated with money supply growth and exchange rate depreciation, while real GDP growth has a negative association with inflation.

Bangura et al. (2012) examined the pass-through effects of exchange rate fluctuations on consumer prices in Sierra Leone using a structural vector autoregression model. The study revealed a large pass-through to consumer prices, indicating that exchange depreciation represents a substantial potential source of inflation in Sierra Leone.

Gottschalk, Kalonji, and Miyajima (2008) investigated the factors influencing inflation in Sierra Leone using a structural vector autoregression and found that depreciation of the nominal exchange rate, rising oil prices, and a rise in the money supply all contribute to domestic inflation.

Kovanen (2006) estimated cross-section and time-series regression to investigate pricing behaviors in Sierra Leone and discovered that product diversification and inflation uncertainty are key factors influencing price changes.

Kallon (1994) constructed a structural equation for inflation using two-stage least squares and found that money growth, Real GDP growth and increased inflation expectations cause inflation to rise.

12. We identify B up to column ordering by exploiting that the variance of the structural errors £f is time-varying as in Lewis (2021). This assumption is testable using the Cragg-Donald statistic as suggested in Lewis (2021), and we find evidence that it holds in the empirical application we consider (all rank tests have a p-value smaller than 0.001). Since the method proposed by Lewis (2021) does not identify the column order of B, it yields six potential estimators, B^ι, i = 1,..., 6. We only keep the estimators B^ι that satisfy:2

where * indicates that no restriction is imposed. The two restrictions are mild: they rule out that shocks to reserve-money growth can be disinflationary, and they rule out that a worsening of the primary balance causes a deceleration of reserve-money growth. We note that this identification scheme is different from the sign restrictions commonly employed in SVAR analyses. Indeed, the above approach yields a finite number of candidate structural covariance matrices. By contrast, a sign restriction approach would leave us with infinitely many structural covariance matrices, which makes the historical decompositions hard to interpret.

Results

13. The above approach leaves us with two candidate structural covariance matrices, B^1 and B^2. The historical decomposition for each of these is shown in Figure 3. The charts show the contribution to inflation net of the constant and the initial conditions, π^t, of shocks to reserve money growth (yellow), the primary balance (purple), as well as other inflation shocks (blue). Intuitively, figure shows the decomposition of inflation in excess of its average value.

14. Idiosyncratic shocks to inflation (such as energy-price shocks) account for most of the inflation prior to 2017 and the inflation between 2020 and 2022. For both B^1 and B^2 we find that movements in inflation in these periods of time are primarily due to innovations εtπ.

15. Between 2017 and 2020, macroeconomic policy was successful in containing inflationary pressures. The period 2017-2020 was disinflationary, and part of this disinflation is sometimes attributed to tightened macroeconomic policy. For instance, the Fiscal Strategy Statement 2019-2023 suggests that disinflation between 2017 and 2018 was due to tightened monetary policy. While we are unable to disentangle the effects of monetary and fiscal policy without imposing further restrictions on the structural covariance matrix, we find evidence that innovations in εtπ or εtb contributed substantially to decreasing inflation. This shows that policy tightening between 2017-2020 was successful in containing inflation.

16. From 2022Q3 onwards, we find that more than half of inflation is due to macroeconomic policy shocks. For both B^1 and B^2, we find that innovations in εtπ or εtb contributed substantially to increasing inflation. While we are unable to disentangle the effects of monetary and fiscal policy without imposing further restrictions on the structural covariance matrix, we nevertheless conclude that macroeconomic policy was the main driver of inflation from 2022Q3 onwards.

D. Conclusion and Policy Recommendations

17. Our analysis indicates that loose monetary and fiscal policies have played a significant role in driving the recent surge in inflation in Sierra Leone. We are able to show that fiscal and monetary policy account for more than half of the variation in inflation outturns in the recent inflation surge. We also find that policy tightening contributed to disinflation between 2017 and 2020. These findings underscore the need for continued policy tightening in the coming years to bring inflation down to the BSL’s single digit medium-term objective.

References

  • Bangura, Morlai, Eugene Caulker, Sandy Pessima, 2012, “Exchange Rate Pass-Through to Inflation in Sierra Leone: A Structural Vector Autoregressive Approach”, Journal of Monetary and Economic Integration, 12(1), 93-123.

  • Danlami, I.A., Bin Hidthiir, M.H. and Hassan, S., 2018. “Inflation in Sierra Leone: An empirical analysis of the impact of interest rate on price level changes”. Academic Journal of Economic Studies, 4(4), pp.42-49.

  • Danladi, Jonathan D., 2020, “International Commodity Prices and Inflation Dynamics in Sierra Leone”, AERC Policy Brief (Nairobi: AERC). (http://publication.aercafricalibrary.org/handle/123456789/1343).

  • Gottschalk, Jan, Kadima Kalonji and Ken Miyajima, 2008, “Analyzing Determinants of Inflation When There are Data Limitations: The Case of Sierra Leone,” IMF Working Paper WP/08/271 (Washington: International Monetary Fund).

  • Hooley, John, Lam Nguyen, Mika Saito, and Shrin Nikaein Towfighian, 2021, “Fiscal Dominance in Sub-Saharan Africa Revisited”, IMF Working Paper WP/21/17 (Washington: International Monetary Fund).

  • Jackson, Emerson, Edmund Tamuke and Mohamed Jabbie, 2019. “Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone”, in Financial Markets, Institutions and Risks, 3(4), 32-48.

  • Jackson, E., Tamuke, E., Jabbie, M. and Ngombu, A., 2020. “Adoption of inflation targeting in Sierra Leone: An empirical discourse”. Journal of Economic Policy Researches, 7(2), pp.21-50.

  • Jackson, E.A., Kamara, P. and Kamara, A., 2023. “Determinants of Inflation in Sierra Leone”. Available at SSRN 4443790.

  • Kallon, Kelfala M., 1994, “An Econometric Analysis of Inflation in Sierra Leone”, Journal of African Economies, 3(2), 199-230.

  • Kilian, Lutz, and Helmut Lütkepohl. Structural vector autoregressive analysis. Cambridge University Press, 2017.

  • Korsu, Robert Dauda, 2014, “The Inflationary Effects of Fiscal Deficit in Sierra Leone: A Simulation Approach”, AERC Research Paper 290 (Nairobi: AERC).

  • Kovanen, Arto, 2006, “Why Do Prices in Sierra Leone Change So Often? A Case Study Using Micro-Level Price Data”, IMF Working Paper 06/53 (Washington: International Monetary Fund).

  • Daniel J Lewis, Identifying Shocks via Time-Varying Volatility, The Review of Economic Studies, Volume 88, Issue 6, November 2021, Pages 3086–3124.

  • Tarawalie, A.B. and Kamara, F., 2022. “Inflation and growth nexus: an estimate of the threshold level of inflation in Sierra Leone”. Appl Econ Fin, 9(2), pp.70-78.

  • The International Monetary Fund, 2022. Inflation In Sierra Leone: Drivers and Policy Responses (Washington: International Monetary Fund).

1

Prepared by Peter Wankuru (SPR), Fidel Márquez, Rashid Kargbo and Max-Sebastian Dovì (all AFR).

2

In future research, it would be interesting to explore whether the uncertainty in estimating B can be accounted for by placing the restrictions on B.

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