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Dear Patrons
The Centre for Economic Data and Analysis organized the Infosys Prize Lecture by Prof. Raj Chetty, the winner of the 2020 Infosys Prize in Social Sciences. Prof. Chetty spoke on 'Improving Equality of Opportunity' with insights drawn from big data. The lecture informed about changing probability of upward mobility in the USA, its policy implications and also shared findings from a study about India.
Prof. Ashwini Deshpande, the Founding Director of CEDA, also introduced the beta version of the CEDA Data Portal on the occasion of the Infosys Prize Lecture. The data portal provides researchers a socio-economic data repository with a visualization toolkit.
In a data narrative for CEDA, Sugat Chaturvedi, Sabyasachi Das and Kanika Mahajan showed why gender quotas in politics matter. They revealed findings that presence of women representatives ensured women-friendly policy choices. Sonalde Desai, Neerad Deshmukh, Santanu Pramanik, and Dinesh Tiwari argue in a data narrative that decline in female labour force participation has a lot to do with how it is measured.
The third CEDA-CMIE Bulletin looked at the impact of the Covid-19 pandemic and the lockdown on household expenses in rural and urban India.
This newsletter brings a snapshot of our work in March, both on the CEDA Website and in the media. We look forward to your continued support.
Team CEDA
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Infosys Prize Lecture by Prof Raj Chetty
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Watch: The Infosys Prize Lecture by Prof. Raj Chetty, brought to you by CEDA
Over the past half century in America, children’s chances of earning more than their parents have fallen from 90% to 50%. Is it possible to restore the American Dream of upward mobility for the next generation of American citizens? In this talk, Raj Chetty discusses recent work that he and his colleagues at Opportunity Insights have done to study this question. While the talk draws on evidence from the US, Raj discusses how similar work is being done in India. Among other topics, the talk shows how children’s chances of climbing the income ladder vary across neighborhoods, analyzes the sources of racial disparities in intergenerational mobility, and discusses the role of higher education in creating greater income mobility. The talk concludes by discussing the implications of the COVID-19 pandemic on these issues.
Professor Raj Chetty is the winner of the Infosys Prize 2020 in Social Sciences for his pioneering research on identifying barriers to economic opportunity and for developing solutions to help people escape from poverty towards better life outcomes. His research and extraordinary ability to discern patterns in large data have the potential to induce major shifts in the discipline of Economics.
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CEDA’s user-driven and interactive data portal allows you to generate and download visualisations (heatmaps, bar charts, graphs) and tables of a large range of socio-economic and demographic indicators (e.g. employment, education, health, fertility, sex ratios and much more) based on large national level datasets for India. You can connect variables across time, across geographies (national, state and district) and across social groups (e.g. gender, caste, tribe and religious categories). You can also plot two variables from the same dataset or from different datasets against one another to see how they correlate.
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Generate Heat Maps
- Extensive coverage of variables across datasets such as NSS, Census, NFHS and SRS.
- Filter across time, geographies, religion, gender, sector-rural/urban, industrial categories, among others.
- Render and download high resolution heat maps, line charts and bar chart for combinations of search filters.
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Easy Comparison Of Variables
Compare variables across and within datasets.
Analyse, contrast and compare variables across time and same set of states and districts.
Generate easy to interpret scatterplots to study correlations between any two variables.
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Navigate across broad themes
Choose desired variables from broad themes of interest, such as health, education, demographics etc.
Select your variable from hierarchy of themes and sub-themes.
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In this data narrative, Sonalde Desai, Neerad Deshmukh, Santanu Pramanik, and Dinesh Tiwari argue that decline in female labour force participation has a lot to do with how it is measured
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