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Gender, Informality and Employment Adjustment in Latin American

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With the exception of Brazil, no clearcut trend increases trends in informality ... Women's overrepresentation in informality a result of their concentration in ... – PowerPoint PPT presentation

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Title: Gender, Informality and Employment Adjustment in Latin American


1
Gender, Informality and Employment Adjustment in
Latin American
  • Rossana Galli and David Kucera

2
Overview
  • Introduction Competing hypotheses regarding the
    cyclic movement of formal vs. informal employment
    and mens vs. womens employment, and the
    intersection of the two
  • Defining formality and informality in the data
  • Overall trends and patterns
  • Gender differences in trends and patterns
  • Informal employment and womens employment as
    cyclic buffers
  • Conclusions

3
Informal Employment Shares, Enterprise and Social
Security Coverage Definitions
4
Informal Employment Shares, Enterprise and Social
Security Coverage Definitions
5
Female Propensity of Informal Employment, With
and Without Domestic Services, Enterprise
Definition
6
Female Propensity of Informal Employmentby
Employment Category
7
Female Propensity of Informal Employment,Social
Security Coverage Definition
8
Percentage of Workers with Social Security
Coverageby Employment Category
9
Conclusion
  • With the exception of Brazil, no clearcut trend
    increases trends in informality
  • Womens overrepresentation in informality a
    result of their concentration in domestic
    services
  • Roughly equal gender representation within
    self-employment, but women have much lower social
    security coverage within self-employment
  • No strong evidence of informality as a buffer A
    result of stronger unemployment insurance system
    and/or predominance of procyclical forms of
    informal employment (independent or types of
    subordinate)?
  • Some evidence of womens employment as a buffer
    within informality (total informality definition)
  • Informality and female propensity of informality
    higher in rural (non-agricultural) areas
  • Data problems, particularly problematic for
    econometric analysis
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