Survey data on incomes remain a key data source for measuring living standards and inequality but are known to suffer from reporting errors. Linked administrative data have been used to assess measurement error, but even when available such data often cover only specific components of income (for example, earnings) and/or...
Presented by: Dr. Paul Fisher, ISER, University of Essex
Venue: 2N2.4.16
Selection biases can distort causal estimates and undermine policy evaluations, yet detecting and quantifying selection remains empirically challenging. This paper introduces a novel method for detecting and quantifying selective survival using genetic data. Specifically, Polygenic Indices (PGIs) are predetermined at birth and should be equally distributed between treatment and control...
Presented by: Dr Nicolau Joaquim Martin Bassols (University of Bologna)
Venue: 2N2.4.16
Venue: Chandler House (UCL)
Over the few short decades since the birth of the internet, our lives have become increasingly digitised. Estimates now suggest that adults in the UK may spend an average of 76% of their waking lives connected to the net in some fashion. Given this context, it is no surprise that many of...
Presented by: Dr David Zendle, University of York
Venue: 2N2.4.16
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