A neural network trained on model-simulated data estimates structural parameters by matching moments, converging to the limited-information posterior mean and beating smoothed SMLE in a search-model application.
Connectionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Ar- bitrary Mappings,
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Estimating Parameters of Structural Models Using Neural Networks
A neural network trained on model-simulated data estimates structural parameters by matching moments, converging to the limited-information posterior mean and beating smoothed SMLE in a search-model application.