Thursday, June 24, 2021, 18:30- 20:00 hours IST (time clock)
The NCAER Data Innovation Centre Methodology Seminars is organizing this online webinar in the series on Data Collection Methodology.
This talk will be delivered by Frauke Kreuter, Professor of Statistics and Data Science for the Social Sciences and Humanities at the Ludwig-Maximilians-University of Munich (Germany) and Professor at the Joint Program in Survey Methodology at the University of Maryland.
K.S. James from the International Institute for Population Sciences. and Soumya Bhaduri from the Reserve Bank of India (RBI) will be the discussants.
Link to register is here
Abstract:
Combining data from different sources has become essential for social scientists and policy makers to take full advantage of the data deluge in an increasingly digitalised society. While we see many attempts at using a single approach (big data sources) with mixed results, the most exciting projects rely on a combination of different data, some of which are still collected through traditional modes. In this talk, Professor Kreuter will highlight a few approaches and provide a framework enabling researchers to think about creating new data products.
Professor Kreuter will use several examples from economic research, with a specific focus on the IAB-SMART research project to discuss privacy issues and approaches deployed to create high-quality combined data sources (read more here). The IAB-SMART study uses innovative data sources, such as administrative records, surveys, and digital traces from smart phones, to measure the effects of long-term unemployment on social integration and social activity. Using the case study from different countries, the talk will demonstrate how to handle potential coverage bias and biases due to non-response and measurement errors, while being cognisant of privacy norms.
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