Distributional Impacts of COVID-19 in the Middle East and North Africa Region

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Distributional Impacts of COVID-19 in MENA

targeted assistance. Similarly, subpopulations (such as refugees) covered by existing assistance systems have been found to be more protected against shocks caused by COVID-19 than populations at large. These findings suggest that one tool that deserves attention is Identification for Development (ID4D). Facilitated by digital identification (like civil registration), ID4D is designed to help people access services through digital identification systems. It can help build an inclusive database and better identify and target beneficiaries by addressing issues such as poverty, gender equality and female empowerment, inequality, financial inclusion, health insurance coverage, and safe migration. Such a tool would be particularly helpful in MENA, given that it is difficult to track and account for activities and workers in the informal sector, not to mention maintain official records and evidence. Third, improve data quality and transparency. Improved data and transparency are urgently needed to inform decision-making about the economic recovery and to improve resilience to future shocks. Good policies cannot be made in a vacuum and without evidence. They require publicly accessible data and engagement with stakeholders. During the pandemic, the absence of data was strongly felt by leaders who did not know which sectors were most affected or which citizens were most vulnerable, yet they were forced to make decisions on that scant evidence. The crisis also underscored the importance of real-time data collection to facilitate timely response actions from governments. This report aims to contribute to the data and evidence ­­ needed to inform recovery efforts. It does so in part by drawing on phone surveys implemented across the region, often in response to the crisis, in a remarkable data collection effort. Even so, the overwhelming sentiment remains one of data scarcity. More than 18 months since the onset of the pandemic, disaggregated information on the number of infected, hospitalized, or vaccinated people is almost impossible to obtain—as is up-to-date information on the socioeconomic impacts of the crisis. Given the region’s long period of underinvestment in statistics, this lack of performance is unsurprising. However, now more than ever this low statistical capacity must be urgently addressed, and MENA now has a rare opportunity to seize the moment and do so.

Notes 1. COVID-19 Business Pulse Survey Dashboard (https://www.worldbank​.org​ /­e n/data/interactive/2021/01/19/covid-19-business-pulse-survey​ -­dashboard); COVID-19 Household Monitoring Dashboard (https://www​ .worldbank.org/en/data/interactive/2020/11/11/covid-19-high-frequency​ -monitoring-dashboard).


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Introduction

4min
pages 258-259

Transmission Channels

2min
page 260

Conclusion

2min
page 276

Large Poverty Setbacks

1min
page 269

Sensitivity Analysis

2min
page 272

Key Messages

1min
page 257

References

3min
pages 254-256

Sector and More Likely to Work in Sectors Affected during the Pandemic

2min
page 244

Impacts on Household Welfare and Poverty

2min
page 243

How the Study Is Conducted

3min
pages 236-237

Suffer the Biggest Income Losses

4min
pages 238-239

How This Study Fits into the Literature on Economic Shocks

4min
pages 234-235

References

3min
pages 228-230

Future Scenarios

2min
page 221

An Innovative Methodological Approach

11min
pages 205-210

Key Messages

1min
page 197

References

0
pages 195-196

Notes

4min
pages 193-194

How the Study Is Conducted

5min
pages 185-187

Precrisis Situation: Poverty and Labor Markets

2min
page 179

Introduction

2min
page 176

Notes

3min
pages 171-174

Key Messages

1min
page 175

Conclusion

2min
page 170

5.3 Most Djiboutians Are Returning to Normal Workloads

2min
page 158

Introduction

2min
page 152

References

3min
pages 149-150

Conclusion

2min
page 145

Key Messages

0
page 151

Which Households Were Most Likely to Declare Lower Living Standards

1min
page 142

during the COVID-19 Surge

1min
page 140

Distributed in Key Transmission Channels

1min
page 134

Phone Surveys to Quickly Check on Living Standards

1min
page 131

References

1min
pages 127-128

Conclusion

4min
pages 121-122

Key Messages

0
page 129

Introduction

2min
page 130

A Complex Link: Food Insecurity, Income Loss, and Job Loss

2min
page 117

COVID-19 Impacts on Household Welfare

2min
page 112

More Than Doubled

1min
page 111

Key Messages

0
page 101

Impacts on Employment: Work Stoppages

2min
page 85

Reference

0
pages 99-100

2.1 Limitations of Phone Surveys

2min
page 83

Conclusion

1min
page 98

to Paint a COVID-19 Picture

4min
pages 70-71

Key Messages

1min
page 77

Introduction

1min
page 78

Preexisting Structural Problems

2min
page 64

Introduction

4min
pages 56-57

Key Messages

1min
page 55

Future Shocks

2min
page 51

COVID-19-Induced Shocks

2min
page 58

Notes

1min
page 52

Message 2: COVID-19 Is Just One of the Severe Socioeconomic Challenges Facing the Region

2min
page 45

References

1min
pages 53-54

Variations in Size and Timing of Containment Measures

1min
page 60
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