OxTalks is Changing
OxTalks will soon move to the new Halo platform and will become 'Oxford Events.' There will be a need for an OxTalks freeze. This was previously planned for Friday 14th November – a new date will be shared as soon as it is available (full details will be available on the Staff Gateway).
In the meantime, the OxTalks site will remain active and events will continue to be published.
If staff have any questions about the Oxford Events launch, please contact halo@digital.ox.ac.uk
New Results on Minimax Regret Treatment Rules in Finite Samples
We study minimax regret treatment rules in finite samples under matched treatment assignment in a setup where a policymaker, informed by a sample, needs to decide between different treatments for a T≥2. Randomized rules are allowed for. We show that the generalization of the minimax regret rule derived in Stoye (2009) for the case T = 2 is minimax regret for general finite T > 2. We also show by example, that in the case of random assignment the generalization of the minimax rule in Stoye (2009) to the case T > 2 is not necessarily minimax regret and derive minimax regret rules for a few small sample cases, e.g. for N = 2 when T = 3. We also discuss numerical approaches to approximate minimax regret rules for unbalanced samples. We then study minimax regret treatment rules in finite samples when a specific quantile (rather than expected outcome) is the object of interest. We establish that all treatment rules are minimax regret under ““matched”“ and ““random sampling”“ schemes while under ““testing an innovation”“ no-data rules are shown to be minimax regret.
Date:
15 November 2024, 14:15
Venue:
Manor Road Building, Manor Road OX1 3UQ
Venue Details:
Seminar Room C
Speaker:
Patrik Guggenberger (Penn State University)
Organising department:
Department of Economics
Part of:
Nuffield Econometrics Seminar
Booking required?:
Not required
Audience:
Members of the University only
Editor:
Edward Valenzano
