Timo Schmid

PROFESSOR OF STATISTICS AND ECONOMETRICS

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Office: Feldkirchenstrasse 21, Room: F21/00.76b, 96045 Bamberg, Germany
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E-Mail: timo.schmid(at)uni-bamberg.de
Phone: +49 (0)951/863-2530
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Pillar 2: Education and Social Inequality Across the Entire Life Course
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// CURRENT POSITIONS

Professor of Statistics and Econometrics
Faculty Member of the Bamberg Graduate School of Social Sciences
Head of the Bamberg center for empirical studies (BACES)

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// SUPERVISION

Professor Dr. Timo Schmid is particularly interested in supervising doctoral students with an interest in applied statistics, for instance in the areas of statistical modelling, machine learning, survey statistics and poverty mapping.

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// RESEARCH

His research focuses on computational statistics, poverty mapping, small area estimation, machine learning, survey statistics as well as statistical modelling, for instance the analysis of cross-sectional and longitudinal data based on regression models.

RESEARCH PROJECTS

TESAP: Time-consistent Estimates for the Household Finance and Consumption Survey - Small Area Estimation in the Panel Context
Construction of socio-demographic indicators with digital breadcrumbs (Mobile data)
Multidimensional poverty estimation using small area estimation - Two perspectives

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// SELECTED PUBLICATIONS

Krennmair, P., Würz, N., & Schmid, T. (2025). Analysing opportunity cost of care work using mixed effects random forests under aggregated census data. To appear in Journal of the Royal Statistical Society Series C, https://doi.org/10.1093/jrsssc/qlaf031

Frink, N. & Schmid, T. (2025). Small area prediction of counts under machine learning-type mixed models. To appear in Computational Statistics & Data Analysis, https://doi.org/10.1016/j.csda.2025.108218

Edochie, I., Newhouse, D., Tzavidis, N., Schmid, T., Foster, E. Luna, A., Ouedraogo, A., Sanoh, A. & Savadogo, A. (2024). Small area estimation of poverty in four West African countries by integrating survey and geospatial data.Journal of Official Statistics, https://doi.org/10.1177/0282423X241284890

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Professor Schmid's website at the Chair of Statistics and Econometrics

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