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

Page 243

Chapter 8: The Islamic Republic of Iran: Battling Both Income Loss and Inflation 209

At the regional level, some areas were more heavily affected than others. Figure 8A.2 in the annex shows the price indexes for each province separately. For ease of presentation, figure 8.4 (panels c and d) groups provinces into regions and shows the price indexes separately for the urban or rural areas of each region. At the upper end, households in rural Zagros (Bakhtiari, Hamadan, Ilam, Kermanshah, Kohkiloyeh, Kurdestan, and Lorestan) experienced the largest price increases (2.8 times), although those in the urban parts also experienced high inflation (2.7 times).14 At the other end, households in the Tehran metropolitan area saw the lowest price rise in their consumption basket (2.5 times increase). Among urban households, those in the Persian Gulf (2.6 times) and the Southeast (2.6 times) saw relatively high inflation compared with those in other regions. From a poverty perspective, the most worrisome areas are the provinces of South Khorasan in the Northeast and Baluchestan and Sistan in the Southeast regions, which had high initial poverty at the beginning of the pandemic, with households experiencing price increases of over 2.7 times by October 2020 (figure 8A.3 in the annex). How robust are these results? Our inflation analysis estimates the change in cost-of-living increases for households if they were to keep their consumption habits constant. But as a response to high inflation, households may change the composition of their budgets, choosing to consume cheaper goods. Hence, the method overestimates the potential welfare impact because the possibility of consumption substitution is not incorporated. The welfare effect after substitution is approximated in a robust analysis by calculating the price index using the expenditure shares calculated from the end-line survey (2018/19), after households have adjusted their consumption patterns (Paasche index). The expenditure shares in the end-line period are in figure 8A.4 in the annex, but they reveal only minimal differences in expenditure patterns compared with the baseline period.15 Consequently, the price indexes also show magnitudes similar to those in the main results (­figure 8A.5 in the annex). This result suggests that the ability to substitute consumption was not large enough to offset the differences in the experienced inflation across households in different parts of the country.

Impacts on Household Welfare and Poverty The impact of the COVID-19 shock depends on the preexisting exposure of households to shocks, which depend on their income sources and where they are across the welfare distribution. Of workers in the poorest 20 percent of the population, 60 percent are employed in the sectors expected to be affected the most during the pandemic, a large proportion of them because they work in the construction sector. The poorer are


Turn static files into dynamic content formats.

Create a flipbook

Articles inside

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
Issuu converts static files into: digital portfolios, online yearbooks, online catalogs, digital photo albums and more. Sign up and create your flipbook.