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Learning control variables and instruments for causal analysis in observational data

This study introduces a data-driven, machine learning-based method to detect suitable control variables and instruments for assessing the causal effect of a treatment on an outcome in observational data, if they exist. Our approach tests the joint existence of instruments, which are associated with the treatment but not directly with...

Presented by: Nicolas Apfel (University of Innsbruck)

Venue: Online

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Football and Anti-migration Sentiment: Evidence from the FIFA World Cup

Natives are often misinformed about immigrants’ characteristics, underestimating the positive potential labor market impacts of their presence and overestimating the cultural differences between both. We investigate if the over-performance of high-migrant football national teams is able to affect migrant perception. Comparing respondents interviewed shortly before with others interviewed shortly after...

Presented by: Giuseppe Ippedico (University of Nottingham)

Venue: Online