Sander Wagner
Sander Wagner’s research is focussed on the interplay of demographics and socio-economic outcomes, with a particular focus on labour-market consequences of motherhood, how demographics and the distribution of wealth interact and the use of large registry datasets for comparative research.
He is currently the PI of the LMCM (Labour Market Consequences of Motherhood) project concerned with making German and French registry data comparable and using it to measure labour market consequences of childbirth. He is also working on Danish registry data to look at how demographic lifecourse events such as partnering and childbirth affect individuals position in the wealth distribution. In addition to this he has ongoing projects in the field of digital demography, using new datasources to measure discrimination and in historical demography about the consequences of the 1918 Spanish Flu. Sander Wagner is also a Good Judgment Project superforecaster and interested in how to apply different forecasting techniques to demographic research.
He joined University of Oxford and the Leverhulme Centre for Demographic Science in the Summer of 2021. Previously he was a researcher at the CREST- Centre for Research in Economics and Statistics and a lecturer at the ENSAE- Ecole Nationale de la Statistique et de l’Administration Economique (2014-2020) as well as a researcher at the INED - Institut National d’Etudes Demographiques (2013-2014), Paris France. He completed his PhD in Sociology at Universitat Pompeu Fabra (2013) and has a master in Economics from Universitat Pompeu Fabra, Barcelona, Spain a Diploma in Statistics from ENSAE, Paris, France and a Diploma in Economics from Humboldt University, Berlin, Germany.
Sander Wagner
Sander Wagner’s research is focussed on the interplay of demographics and socio-economic outcomes, with a particular focus on labour-market consequences of motherhood, how demographics and the distribution of wealth interact and the use of large registry datasets for comparative research.
He is currently the PI of the LMCM (Labour Market Consequences of Motherhood) project concerned with making German and French registry data comparable and using it to measure labour market consequences of childbirth. He is also working on Danish registry data to look at how demographic lifecourse events such as partnering and childbirth affect individuals position in the wealth distribution. In addition to this he has ongoing projects in the field of digital demography, using new datasources to measure discrimination and in historical demography about the consequences of the 1918 Spanish Flu. Sander Wagner is also a Good Judgment Project superforecaster and interested in how to apply different forecasting techniques to demographic research.
He joined University of Oxford and the Leverhulme Centre for Demographic Science in the Summer of 2021. Previously he was a researcher at the CREST- Centre for Research in Economics and Statistics and a lecturer at the ENSAE- Ecole Nationale de la Statistique et de l’Administration Economique (2014-2020) as well as a researcher at the INED - Institut National d’Etudes Demographiques (2013-2014), Paris France. He completed his PhD in Sociology at Universitat Pompeu Fabra (2013) and has a master in Economics from Universitat Pompeu Fabra, Barcelona, Spain a Diploma in Statistics from ENSAE, Paris, France and a Diploma in Economics from Humboldt University, Berlin, Germany.