Search Results

You are looking at 1 - 5 of 5 items for :

  • "gender RTI gap" x
Clear All
Mariya Brussevich, Ms. Era Dabla-Norris, and Salma Khalid
Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions.
Mariya Brussevich, Ms. Era Dabla-Norris, and Salma Khalid

Front Matter Page Fiscal Affairs Department Table of Contents ABSTRACT I. INTRODUCTION II. MEASURING EXPOSURE TO ROUTINIZATION: THE RTI INDEX A. Measuring Routineness B. The Gender RTI Gap C. Decomposing the Gender RTI Gap III. RISK OF AUTOMATION AND THE FUTURE OF WORK FOR WOMEN A. Estimating the Probability of Automation B. Gender Differences in Probability of Automation IV. NARROWING GENDER GAPS ACROSS GENERATIONS V. CONCLUSION FIGURES 1. Relationship Between Female Labor Force Participation and Size of

Mariya Brussevich, Ms. Era Dabla-Norris, and Salma Khalid

describing flexibility and learning on the job separately. Using an inverse of the resulting flexibility and learning indices, along with the routine manual component, we use PCA to construct a composite routine component. Each subcomponent (abstract, routine and manual) is standardized to lie between zero and one. Finally, we construct the RTI index by subtracting abstract and manual components from the routine component and standardize the final index score to lie between zero and one. B. The Gender RTI Gap The RTI index, on average, is 13 percent higher for

Mariya Brussevich, Ms. Era Dabla-Norris, Christine Kamunge, Pooja Karnane, Salma Khalid, and Ms. Kalpana Kochhar
New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.
Mariya Brussevich, Ms. Era Dabla-Norris, Christine Kamunge, Pooja Karnane, Salma Khalid, and Ms. Kalpana Kochhar

Hilgenstock 2018 ). 6 Figure 2. RTI Levels for Women Across Countries Sources: PIAAC survey; and IMF staff calculations. Note: Routine task intensity (RTI) index is calculated at the female level using information on routine, abstract, and manual. See Annex I for details. Country averages are calculated using country-specific sampling weights. Index level varies from 0.45 to 0.61. 12. Gender RTI and ICT gaps and female labor force participation . The gender RTI gap―the ratio of the female RTI level to the male RTI level―is correlated with the female labor