Ideas for India (I4I)
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I4I is an economics & policy portal that publishes evidence-based analysis & commentary on growth & development issues.
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Watch/listen to the 9th edition of I4I Conversations with Dilip Mookherjee and Pascal Restrepo (Boston University) discussing the evidence around the developed and developing country experience with automation technology & its implications for jobs & inequality.

Read more: https://www.ideasforindia.in/topics/productivity-innovation/automation-and-inequality.html
Ideas for India (I4I) pinned «Watch/listen to the 9th edition of I4I Conversations with Dilip Mookherjee and Pascal Restrepo (Boston University) discussing the evidence around the developed and developing country experience with automation technology & its implications for jobs & inequality.…»
Technological shifts that increase the share of capital in production makes wealth a more important determinant of the distribution of labour income. Hear more about it in the 9th edition of the I4I Conversations series: https://www.ideasforindia.in/topics/productivity-innovation/automation-and-inequality.html
Both exogenous and endogenous factors have contributed to the rise in automation over the last few decades. Find out about them in more detail in the 9th edition of the I4I Conversations series: rb.gy/afejuj
Is subsidising manufacturing the best way to promote employment generation? Find out more in the 9th edition of the I4I Conversations series: rb.gy/afejuj
Automation is changing the way in which we are producing something that already exists, and reducing the role of human labour in the production process. Listen to Pascual Restrepo and DilipMookherjee in the 9th edition of the I4I Conversations series: rb.gy/afejuj
Technology has the potential to create winners and losers; the losers can be found in those regions which specialise in industries with a high degree of automation. Listen to the 9th edition of the I4I Conversations series to learn more: rb.gy/afejuj
Hear more about how automation will affect the ‘Flying Geese’ model – where industries set up in advanced economies shift to countries with lower wages over time – in the 9th edition of the I4I Conversations series: rb.gy/afejuj
Analysing 2011-12 India Human Development Survey (IHDS)-II data, this article uses machine learning to build predictive models of neonatal and infant mortality incidence. Read more: https://www.ideasforindia.in/topics/human-development/using-machine-learning-to-target-neonatal-and-infant-mortality.html