The Long Shadow of Informality

Page 209

C H A P T ER 4

T H E L O NG S HA D O W O F I N F O R MA L I T Y

179

TABLE 4D.8 Regression: Changes in informality and improvement in income inequality Gini coefficient Output informality

Lagged inequality Change in informality Lagged informality Squared lagged informality GDP growth

Shared prosperity

Employment informality

Output informality

Employment informality

World

EMDEs

World EMDEs

World

EMDEs

World

EMDEs

-0.90*

-0.84*

-0.86*

-0.80*

-0.90*

-0.85*

-0.84*

-0.77*

(0.06)

(0.07)

(0.09)

(0.12)

(0.06)

(0.07)

(0.09)

(0.12)

-0.18

-0.22

0.02

0.006

0.10

0.12

-0.006

-0.01

(0.17)

(0.18)

(0.07)

(0.08)

(0.07)

(0.07)

(0.03)

(0.04)

-0.28

-0.36

0.29

0.28

0.16

0.21

-0.12

-0.14

(0.41)

(0.46)

(0.18)

(0.13)

0.006

0.007

(0.004)

(0.005)

(0.29)

(0.20)

(0.22)

(0.08)

-0.004* -0.004

-0.003

-0.003

0.002*

0.002

(0.002)

(003)

(0.002)

(0.002)

(0.001)

(0.001)

0.012

0.04

0.01

0.02

(0.02)

(0.03)

R2

0.70

0.72

0.65

Observations

366

262

266

Number of countries

117

85

92

-0.007

-0.009

-0.003

-0.02

(0.014)

(0.014)

(0.014)

(0.023)

0.70

0.68

0.70

0.65

0.71

164

366

262

366

164

60

117

85

117

60

(0.030) (0.05)

Source: World Bank. Note: “Shared prosperity” refers to the income share of the bottom 40 percent of population. The sample of country-year observations starts with the first available observation for each country and all consecutive observations with at least five-year minimum window between them. Sample excludes fragile and conflict-affected states. “Employment informality” is self-employment in percent of total employment and “output informality” is proxied by DGE-based estimates on informal output in percent of official GDP. Dependent variables are two measures of inequality: the change in Gini coefficient and shared prosperity. “GDP growth” denotes cumulative change in GDP per capita during the time window between observations. “Change in informality” denotes change in output (employment) informality during the time window between observations in percent of official GDP (in percent of official employment). “Lagged informality” denotes informality levels at t-1. Control variables include a constant, country and time fixed effects, and squared lagged informality to control for a possible non-linear relationship between informality and inequality. A positive coefficient on change in informality indicates that formalization reduces shared prosperity (the income share of the bottom 40 percent of population). DGE = dynamic general equilibrium model; EMDEs = emerging market and developing economies. Robust standard errors in parentheses; *p<0.05, ** p<0.1.


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References

17min
pages 344-353

Annex 6A Policies and informality

3min
pages 323-324

Fiscal measures

2min
page 301

Data and methodology

2min
page 300

6.1 Financial development and the informal economy

9min
pages 290-294

6.8 Informality after labor market reforms in EMDEs

2min
page 313

Conclusion

2min
page 271

References

20min
pages 272-284

Conclusion

2min
page 319

Latin America and the Caribbean

2min
page 251

South Asia

2min
page 260

Sub-Saharan Africa

4min
pages 264-265

Middle East and North Africa

2min
page 255

Europe and Central Asia

2min
page 246

East Asia and Pacific

2min
page 241

Informality in EMDEs

2min
page 237

References

24min
pages 222-234

4D.7 Regression: Changes in informality and poverty reduction

2min
page 208

competition

2min
page 206

4D.8 Regression: Changes in informality and improvement in income inequality

1min
page 209

4D.14 Regression: Developmental challenges and DGE-based output informality in EMDEs

5min
pages 216-218

Annex 4C Bayesian model averaging approach

4min
pages 200-201

4D.4 Regression: Labor productivity of formal and informal firms 4D.5 Regression: Labor productivity of formal firms facing informal

1min
page 205

Annex 4B Regression analysis

2min
page 199

Annex 4A Meta-regression analysis

2min
page 198

Informality and SDGs related to human development

2min
page 191

Informality and SDGs related to infrastructure

2min
page 193

4.3 Informality, poverty, and income inequality

5min
pages 180-182

Informality and institutions

2min
page 189

Finding the needle in the haystack: The most robust correlates

2min
page 195

Conclusion

1min
page 197

Informality and economic correlates

2min
page 179

4.2 Casting a shadow: Productivity in formal and informal firms

4min
pages 167-168

Links between informality and development challenges

2min
page 165

4.1 Informality and wage inequality

8min
pages 158-161

References

6min
pages 147-152

Conclusion

2min
page 136

Data and methodology

2min
page 129

Literature review: Linkages between formal and informal sectors

6min
pages 126-128

References

13min
pages 115-122

2B.9 World Values Survey

1min
page 114

2B.8 MIMIC model estimation results, 1993-2018

1min
page 113

Future research directions

2min
page 54

Database of informality measures

14min
pages 81-86

References

10min
pages 55-62

Key findings and policy messages

6min
pages 36-38

Definition of informality

4min
pages 79-80

Conclusion

2min
page 99

Annex 2A Estimation methodologies

9min
pages 100-103

16 Informality indicators and entrepreneurial conditions in Sub-Saharan

2min
page 35
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