The Long Shadow of Informality

Page 158

128

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

BOX 4.1 Informality and wage inequality

An extensive literature has documented the wage penalty for workers in the informal economy compared to their peers in the formal economy. Estimates of this penalty, however, vary substantially across countries. A comprehensive review of the relevant empirical studies suggests that the wage penalty largely reflects the characteristics of workers who self-select into informal activities. Worldwide, 2 billion people, or more than 60 percent of all workers aged 15 and over, have informal jobs (ILO 2018a). Informality is often associated with lower wages than the formal sector. If these lower wages reflect a wage penalty for informality that is independent of worker characteristics, policies that encourage the movement of workers to the formal sector might be a powerful remedy for income inequality and poverty. If, however, the wage differential largely reflects the characteristics of the workers employed in the informal sector, moving workers to the formal sector would be unlikely to achieve such gains. Persistent informality frequently overlaps with poverty because many working poor remain employed in the informal sector (ILO 2018b; box 4.3). Lower wages in the informal sector can result from different worker characteristics, possibly reflecting comparative advantage, or reflect nonwage benefits that might accrue to work in the informal sector (Heckman and Li 2003; Maloney 2004). Wage differences may also reflect subjective well-being or job satisfaction of workers in the formal and informal sectors, with informal jobs offering more flexibility and independence (see, for example, Blanchflower, Oswald, and Stutzer 2001; Falco et al. 2011; Sanfey and Teksoz 2007). Alternatively, wage differentials could stem from rigidities and other factors that create a wedge in wages between similar workers in informal and formal employment (Harris and Todaro 1970). This box sifts through a large body of empirical evidence on informal wage differentials to explore the following questions: •

What factors can create wage differentials between formal and informal sectors?

How large is the wage gap between formal and informal jobs?

What accounts for the wage gap between formal and informal jobs?

A comprehensive review of empirical models, identification strategies, estimation methods, and data sources delivers mixed results. Some studies detect a substantial formal wage premium over informal employment; other estimates, however, do not find a significant wage gap after controlling for individual and firm-specific characteristics. In light of these different findings, a meta-regression Note: This box was prepared by Sergiy Kasyanenko.


Turn static files into dynamic content formats.

Create a flipbook

Articles inside

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