A two-stage language-model method estimates private valuations and bidder counts from car auction descriptions and outperforms OLS and one-stage baselines out of sample.
Machine learning as a tool for hypothesis generation.Quarterly Journal of Economics, 139(2):751–827, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
econ.EM 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Decoding Consumer Preferences Using Attention-Based Language Models
A two-stage language-model method estimates private valuations and bidder counts from car auction descriptions and outperforms OLS and one-stage baselines out of sample.