Simulating policy responses to multiple economic shocks: An experiment with combined impacts of COVID‐19 and oil price crash on Kuwait
Published date | 01 September 2023 |
Author | Ayele U. Gelan,Sulayman Al‐Qudsi,Ahmad AlAwadhi |
Date | 01 September 2023 |
DOI | http://doi.org/10.1111/opec.12279 |
OPEC Energy Rev. 2023;47:197–215.
|
197wileyonlinelibrary.com/journal/opec
1
|
INTRODUCTION
Small open economies have been most severely hurt by COVID- 19 simply because of their reliance on the rest of the
world for exports and imports. During the first quarter of 2020, the Kuwaiti economy began to receive two major concur-
rent shocks – the COVID- 19 and unprecedented crash in the oil price. These were powerful events with double whammy
or multiple shock effects on the country's economic fabric. Each of these two events are substantial shocks in its own
right, let alone when occurring concurrently to the same economy and in the same year. The Kuwaiti authorities have
been used to dealing with adverse exogenous shocks coming from the world market they often tapped to existing reserves
funds to finance spending commitments. However, the COVID- 19 shock proved to be a great deal trickier because it
caused economic disruptions with greater scope in its coverages of economic sectors (Al- Qudsi et al.,2021).
Kuwait's first COVID- 19 case was registered on 24 February 2020 and the first death was recorded on 4 April 2020.
The authorities swiftly moved to putting in place strict curtailment measures to avert the looming danger. According to
DOI: 10.1111/opec.12279
ORIGINAL ARTICLE
Simulating policy responses to multiple economic shocks:
An experiment with combined impacts of COVID- 19 and oil
price crash on Kuwait
Ayele U.Gelan
|
SulaymanAl- Qudsi
|
AhmadAlAwadhi
© 2023 Organization of the Petroleum Exporting Countries.
Techno- Economic Division, Kuwait
Institute for Scientific Research (KISR),
Safat, Kuwait
Correspondence
Ahmad AlAwadhi, Techno- Economic
Division, Kuwait Institute for Scientific
Research (KISR), Safat, Kuwait.
Email: aawadhi@kisr.edu.kw
Funding information
Kuwait Foundation for the
Advancement of Sciences, Grant/
Award Number: CORONA PROP. 92
Abstract
Researchers and policy- makers are used to measuring impacts of an economic
shock. However, multiple economic shocks generate disruption that are chal-
lenging, not just analytically but also in the interpretations of results (Pagan &
Robinson, European Economic Review, 145, 2022, 104120). The disruptions come
through multiple channels whose impacts were trickier to measure than emanat-
ing from those of a single shock. This study develops and applies a framework to
conduct simulation experiments with multiple economic shocks. Kuwaiti data
were used to simulate multiple economic shocks to the economy originating from
the Corona Pandemic and the collapse of oil price, which simultaneously hap-
pened during the first quarter of 2020. As an oil exporting country, Kuwait is used
to dealing with recurrent changes in oil prices in the world market as a single
shock. However, unlike the oil shock, COVID- 19 has many demand and supply
shocks, each with separate transmission channels. The objective here is to quan-
tify relative contributions to overall adverse effects on GDP, and then identify
policy instruments required to implement a successful recovery. A recursive dy-
namic economy- wide model was formulated and calibrated. The results indicate
that the GDP effects range from 35% to 11% declines from the baseline scenario
depending on effectiveness of policy responses.
198
|
GELAN et al.
the Oxford COVID- 19 government response tracker (Hale et al.,2021), Kuwait's lockdown measures were among the most
stringent in the world. The curtailment measures ranged from full lockdown for the first few months of the pandemic to
partial lockdown, which stayed on for the remaining COVID- 19 period, until measures were relaxed in 2021.
The literature on pandemics indicate that macroeconomic impacts depend on extents of disruptions caused to eco-
nomic activities (Boissay & Rungcharoenkitkul,2020; Keogh- Brown et al.,2020). Pandemic induced supply and demand
disruptions are often classified into temporary and permanent shocks (Jena et al.,2021). Transitory supply side shocks
are related to absenteeism or loss of workdays and reduction in labor input; either due to sickness and hence inability
to work or lockdown requiring people to stay at home for reasons to do with social distancing or capital productivity
reduction due to idleness. Demand side losses are related to increased international trade costs; and reduced household
consumption (or increased in household savings) (Angelini et al.,2020; Maliszewska et al.,2020; PwC,2020). The per-
manent shocks, on the other hand, are related to losses due to a reduction in the size of the work force due to mortality.
This study has three interrelated objectives: identifying economic disruption transmission channels of COVID- 19
that are relevant to the context of the Kuwaiti economy; quantifying the relative contributions of each component to the
overall adverse effects on GDP; and then find combinations of policy instruments required to implement a successful
recovery.
The study was conducted by using a recursive dynamic computable general equilibrium (CGE) model. CGE models
are often implemented by measuring changes at margins; that is applying relatively small changes to simulate and un-
derstand big real- world events. It is possible to obtain some sense of magnitude for large shocks, by experimenting with
small changes and then getting a sense of direction (positive or negative) as well as sense of magnitude. The effects ob-
tained from relatively smaller changes can give direction regarding the likelihood in magnitude of larger changes. This
logic has been pursued in this study.
A unique feature of COVID- 19 is that its economic impacts come through multiple channels. Relying on literature
review, about five separate shocks were identified (Maliszewska et al.,2020; World Bank,2014). Accordingly, the double
whammy shocks in this study were implemented by applying six isolated or individual shocks, five COVID- 19 shocks
plus the oil shock. A CGE modelling approach was used to conduct a series of simulation experiments, first applying each
isolated shock in turn and then applying all the six shocks at once and quantifying the economic impacts in each case.
In order to minimise the damage on the economy, the Kuwaiti authorities have applied a series of policy measures.
The interventions were classified into two broad categories: financial supports to businesses and other measures related
to business productivity enhancement in the medium to the long- term. The simulation experiment focused on synergies
between these two recovery measures, the difference between separate or simultaneous applications of these policy
instruments. Altogether, about 11 shocks were applied in this study, six isolated, two policy shocks and three combined
shocks. Given the multiplicity of the shocks, the economic impact was measured by mapping the shocks to one economic
indicator, change in real GDP.
The remaining parts of this paper is structured as follows. Section2 discusses the background and context to the study.
Section3 presents the analytical framework, the Kuwaiti economy- wide model and the base baseline data. Section4
discuss the findings of the simulation experiments and parameter sensitivity analysis. Concluding remarks are made in
Section5.
2
|
BACKGROUND
2.1
|
The COVID- 19 shock
The first COVID- 19 case and death were registered in Kuwait on 24 February 2020 and 4 April 2020, respectively
(Figure1). Since then Kuwait has gone through a series of COVID- 19 waves, lurching through a series of new daily
peaks: 958 on 22 May 2020– 1827 on 6 July 2021. A new peak in number of deaths occurred on 17 July 2021 with 16 deaths
recorded on that date. By August 2021 about 56% of Kuwait's total population was vaccinated against COVID- 19 at least
one dose (Mathieu et al.,2021).
Table1 compares Kuwait against Gulf Cooperation Council member countries, other selected countries and the world
average in terms of COVID- 19 cases in terms of deaths per million population, standardised indictors for ease of compar-
ison. The data is sorted in descending order of records of new deaths per million population up to 18 August 2021. Oman
tops the list with 2.05 new daily deaths per million. Kuwait stands third with about 1.02 deaths per million of COVID- 19-
related deaths, coming just after EU.
Get this document and AI-powered insights with a free trial of vLex and Vincent AI
Get Started for FreeStart Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

Start Your 3-day Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant
-
Access comprehensive legal content with no limitations across vLex's unparalleled global legal database
-
Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength
-
Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities
-
Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting
