Char  Hilgers

Char Hilgers

Research Associate of the

German Socio-Economic Panel study Research Infrastructure

Research Topics and Working Areas
  • Missing data
  • Statistics
  • Data science
  • Multiple imputation
Char Hilgers is a PhD student in Sociology at the Humboldt University's Berlin Graduate School of Social Science, funded by the Socio-Economic Panel at DIW Berlin. Their research focuses on statistical techniques for nonresponse in survey settings, in particular when missingness means something. They are interested in refusal, misdirection, and obfuscation in survey settings, and ethical dilemmas around these. They hold a Master's in Industrial and Applied Mathematics and a Bachelor's in Pure Mathematics, and they have worked as a data scientist in forest monitoring, epidemiology, and supply chain forecasting.

Downloads

Lectures

Vortrag

Filling in the Blanks: Augmenting Survey Data Imputation with External Data and Rubin’s SIR Algorithm

Char Hilgers
Warschau, Polen, 09.09.2024 - 14.09.2024
| 1st German-Polish Ph.D. Summer School in Economics: University of Warsaw and DIW Berlin
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