Digitalisation and women's workforce participation in the Indo-Pacific

Timothy Watson et al.

Australian Journal of Labour Economics: a journal of labour economics and labour relations2018article
AJG 1ABDC B
Weight
0.47

Abstract

Between 2000 and 2016 the gap between women and men’s workforce participation in the Indo-Pacific has narrowed, while indicators of digital connectivity and Internet use have grown rapidly. We find a robust and statistically significant correlation between Internet use and women’s workforce participation controlling for country fixed effects, a time trend, and numerous other controls. The most conservative estimate suggests that, on average, growth in Internet use has been associated with around four-fifths of the increase in women’s participation in the Indo-Pacific between 2000 and 2016. Instrumental variables estimation finds a stronger positive association between women’s workforce participation and exogenously determined Internet use. Despite finding a positive association between Internet use and women’s participation, a number of barriers exist that are preventing women from fully sharing in the benefits of the digital economy. Based on findings from the G20 Taskforce on Digitalisation, we consider a range of measures that policymakers in the Indo-Pacific can pursue to address these barriers.

11 citations

Cite this paper

@article{timothy2018,
  title        = {{Digitalisation and women's workforce participation in the Indo-Pacific}},
  author       = {Timothy Watson et al.},
  journal      = {Australian Journal of Labour Economics: a journal of labour economics and labour relations},
  year         = {2018},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Digitalisation and women's workforce participation in the Indo-Pacific

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.47

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.31 × 0.4 = 0.12
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.