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Erika Antal

  Senior Researcher
Office 5640
+41 (0)21 692 37 13
Languages: French, English, Hungarian


Erika Antal received her PhD in statistics from the University of Neuchâtel in 2012. The title of her thesis was “Variance estimation via resampling methods for complex sampling designs”. She started working at FORS in 2013 as a senior researcher. She is responsible for the weighting system of the Swiss Household Panel survey.


Erika Antal’s research interests are in the field of Survey Sampling Methods. Being responsible for the weighting system of the SHP, she builds up the different weights applying and adapting novice methods. She also contributes to the development of sampling strategies for other related surveys (Lives-Cohort and the additional sample of the canton Vaud).



Florence Lebert, Erika Antal: Reducing Employement Insecurity: Further Training and the Role of the Family Context (SAGE Open, volume: October-December, pages: 1-16)

Robin Tillmann, Marieke Voorpostel, Ursina Kuhn, Florence Lebert, Valérie-Anne Ryser, Oliver Lipps, Boris Wernli, Erika Antal: The Swiss Household Panel Study: Observing social change since 1999 (Longitudinal and Life Course Studies, volume:7(1), pages: 64 – 78)

Michael Ochsner, Erika Antal, Ivett Szalma: Preferences for redistribution and policy outcomes (Conference paper at the 3rd International ESS Conference, 13-15th July 2016, Lausanne Switzerland)


Erika Antal, Yves Tillé: A new resampling method for sampling designs without replacement: The doubled half bootstrap (Computational Statistics, volume: 29(5), pages: 1345 – 1363)


Erika Antal, Yves Tillé: Simple random sampling with overreplacement (Journal of Statistical Planning and Inference, volume: 141, pages: 597 – 601)

Erika Antal, Yves Tillé:  A Direct Bootstrap Method for Complex Sampling Designs from a Finite Population (Journal of the American Statistical Association, 106(494), pages: 534 – 543)


Erika Antal, Rita Farkas, Erzsébet Kovács: Mosaic of the European Insurance (Biztosítási Szemle XLXI. Évf.2003/10 3-12p).