UFXP and OUFXP estimators decouple utility parameters from the Bellman fixed point in infinite-horizon DDC models, enabling consistent neural-network estimation without embedded linear systems.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
econ.EM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Training Neural Networks Embedded in Dynamic Discrete Choice Models
UFXP and OUFXP estimators decouple utility parameters from the Bellman fixed point in infinite-horizon DDC models, enabling consistent neural-network estimation without embedded linear systems.