Do non-choice data reveal economic preferences? Evidence from biometric data and compensation-scheme choice
Halko, Marja Liisa; Lappalainen, Olli; Sääksvuori, Lauri (2021-08)
Halko, Marja Liisa
Lappalainen, Olli
Sääksvuori, Lauri
08 / 2021
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:tuni-202109066953
https://urn.fi/URN:NBN:fi:tuni-202109066953
Kuvaus
Peer reviewed
Tiivistelmä
We investigate the feasibility of inferring economic choices from simple biometric non-choice data. We employ a machine learning approach to assess whether biometric data acquired during sleep, naturally occurring daily chores and participation in an experiment can reveal preferences for competitive and team-based compensation schemes. We find that biometric data acquired using wearable devices enable equally accurate out-of-sample prediction for compensation-scheme choice as gender and performance. Our results demonstrate the feasibility of inferring economic choices from simple biometric data without observing past decisions. However, we find that biometric data recorded in naturally occurring environments during daily chores and sleep add little value to out-of-sample predictions.
Kokoelmat
- TUNICRIS-julkaisut [16740]