The Long Shadow of Informality

Page 35

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

C H A P T ER 1

5

Realizing the growth potential of the resources employed by the informal sector is a pressing matter as EMDEs rebound from the current recession. Policy actions can unleash the growth potential of the informal sector’s resources by promoting their transfer to the formal sector, and providing better public services and social safety nets to protect vulnerable groups who remain in the informal sector. These policy interventions are even more important now because the pandemic is expected to leave long-lasting scars on the global economy, including less physical capital because of lower investment, erosion of the human capital of the unemployed, and a weakening of global trade and supply linkages (World Bank 2020a). These effects may well lower the levels and growth rates of potential output and labor productivity over a long period. Against this backdrop, this book presents the first comprehensive study of informality— of its extent, evolution, and consequences, and of the policy options to address its challenges. The book makes several contributions to an already-large literature. Comprehensive assessment. The book brings together a wide range of topics related to the informal economy, ranging from measurement issues to policy options. In contrast, earlier work typically examines only one of the dimensions covered in this book, such as the advantages and drawbacks of existing informality measures, the cyclical features of the informal sector, the developmental implications of informality, or examples of policy impacts.1 Regional emphasis. The book brings a regional dimension to the discussion of informality in EMDEs (chapter 5). Existing studies often group all countries together (Medina and Schneider 2018, 2019) or focus on a few specific regions or countries (Loayza, Servén, and Suguwara 2010; Perry et al. 2007). To allow comparisons across all six EMDE regions, the book utilizes a comprehensive data set that covers more than 120 EMDEs. In addition, the two chapters in Part II include only EMDEs in the analysis to avoid the results being driven by differences in the nature of informality between advanced economies and EMDEs. Analysis of the implications of COVID-19. The book provides an analysis of the impact of COVID-19 in EMDEs with pervasive informality (chapter 2). This links the features of the informal sector with the health and economic consequences of COVID-19. It also highlights the policy challenges arising from informality when EMDEs have been facing the consequences of the deepest global recession since the Second World War. Multiple approaches. The book uses a wide range of approaches and synthesizes findings based on multiple measures of informality. The literature on informality has mostly relied on either survey-based estimates of informality or model-based estimates

1 See Medina and Schneider (2018) and Schneider, Buehn, and Montenegro (2010) for discussions of the advantages and drawbacks of informality measures. See Bosch, Goni, and Maloney (2007); Fiess, Fugazza, and Maloney (2010); and Loayza and Rigolini (2011) for the cyclical features of the informal sector. See La Porta and Shleifer (2014), Loayza (2016), and Loayza, Servén, and Suguwara (2010) for the developmental implications of informality. See Dix-Carneiro et al. (2021) and Ulyssea (2020) for examples of policy impacts.


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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
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