Publications

Sebastian O. Schneider, Matthias Sutter (2021). Higher Order Risk Preferences: Novel Method, New Measures, Determinants and Field Behavior. Discussion Papers of the Max Planck Institute for Research on Collective Goods, 2020/22. Revision requested by the American Economic Review.

PDF Supplementary Material Summary Thread on Twitter (10-minutes) Presentation Video

Gerhard Riener, Sebastian O. Schneider, Valentin Wagner (2021). Addressing Validity and Generalizability Concerns in Field Experiments. Discussion Papers of the Max Planck Institute for Research on Collective Goods, 2020/16.

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Sebastian O. Schneider, Marcela Ibanez, Gerhard Riener (2021). Measuring Utility – An Application to Higher Order Risk.

Kai Barron, Heike Harmgart, Steffen Huck, Sebastian O. Schneider, Matthias Sutter (2021). Discrimination, narratives and family history: An experiment with Jordanian host and Syrian refugee children. Review of Economics and Statistics (forthcoming).

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Sebastian O. Schneider (2021). Stata Implementation of the minMSE treatment assignment method for one or multiple treatment groups. Stata ado-package, Statistical Software Components, Boston College Department of Economics.

Cite Package 'minmse' on SSC

Sebastian O. Schneider, Martin Schlather (2021). Rerandomization to Improve Covariate Balance by Minimizing the MSE of a Treatment Effect Estimator. Older version (A New Approach to Treatment Assignment for One and Multiple Treatment Groups), was published in 2017 as: Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 228, http://hdl.handle.net/10419/161931.

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Marcela Ibanez, Sebastian O. Schneider (2021). Income Risk, Precautionary Saving, and Loss Aversion – An Empirical Test. Discussion Papers of the Max Planck Institute for Research on Collective Goods, 2021/6. Reject and resubmit at Management Science.

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Sebastian O. Schneider, Giulia Baldini (2020). R Implementation of the minMSE treatment assignment method for one or multiple treatment groups. CRAN R package.

PDF Cite Package 'MinMSE' on CRAN