Front Matter
  • 1 https://isni.org/isni/0000000404811396, International Monetary Fund
  • | 2 https://isni.org/isni/0000000404811396, International Monetary Fund
  • | 3 https://isni.org/isni/0000000404811396, International Monetary Fund
  • | 4 https://isni.org/isni/0000000404811396, International Monetary Fund

Front Matter Page

Fiscal Affairs and Human Resources Departments

Contents

  • EXECUTIVE SUMMARY

  • INTRODUCTION

  • STYLIZED FACTS: ROUTINENESS AND GENDER GAPS

  • A. How Routine Are Women’s Jobs?

  • B. How Much of the Gender Wage Gap do Differences in RTI Explain?

  • RISK OF AUTOMATION AND THE FUTURE OF WORK FOR WOMEN

  • A. Are Women More Susceptible to Automation Than Men?

  • B. Looking Ahead: Opportunities and Challenges

  • CONCLUSIONS AND POLICY OPTIONS

  • REFERENCES

  • FIGURES

  • 1. Gender Gap in RTI and RTI Components

  • 2. RTI Levels For Women Across Countries

  • 3. Relationship Between Female Labor Force Participation and RTI and ICT Use Indices

  • 4. RTI Decomposition: Drivers of RTI Gap

  • 5. RTI Levels vs. Gender Gaps by Occupation and Sector

  • 6. Wage Decomposition

  • 7. Gender Gap in Probability of Automation

  • 8. High Risk of Automation and Age

  • 9. Gender Gap in High Risk of Automation Across Countries

  • 10. Automation Across Sectors

  • 11. Gender Gap in High Risk of Automation Across Occupations

  • 12. Changes in Occupational Shares by Gender (1994–2016)

  • 13. Occupational and Task Differences in ICT and Health & Social Services

  • ANNEXES

  • 1. Data and Definitions of RTI and ICT Use Indices.

  • 2. RTI, ICT Use and Wage Decomposition Method

  • 3. Estimating Probability of Automation

Gender, Technology, and the Future of Work
Author: Mariya Brussevich, Ms. Era Dabla-Norris, Christine Kamunge, Pooja Karnane, Salma Khalid, and Ms. Kalpana Kochhar