Estimating Parameters of Structural Models Using Neural Networks

We use neural networks for structural model estimation, achieving both accuracy and computational efficiency, particularly for models with high simulation costs.

Authors

Yanhao Wei (ORCID: https://orcid.org/0000-0001-6613-5993)
Zhenling Jiang (ORCID: https://orcid.org/0000-0002-4581-0125)

Institutions

University of Southern California (US)
University of Pennsylvania (US)

Publication Details

Journal: Marketing Science
Published: 2024-08-16
DOI: https://doi.org/10.1287/mksc.2022.0360
Citations: 6
Primary Topic: Model Reduction and Neural Networks
Type: article
Field-Weighted Citation Impact: 1.69

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article

Estimating Parameters of Structural Models Using Neural Networks

Yanhao Wei, Zhenling Jiang

Aug 16, 2024

6 citations

Marketing Science

Model Reduction and Neural Networks

1.69

article

Estimating Parameters of Structural Models Using Neural Networks

Yanhao Wei, Zhenling Jiang

August 16, 2024article en

6 citations

Abstract

We use neural networks for structural model estimation, achieving both accuracy and computational efficiency, particularly for models with high simulation costs.

Marketing ScienceVol. 44(1)

University of Southern California (US), University of Pennsylvania (US)

Openalex Percentile: Top 16%

Model Reduction and Neural Networks

1.69

DOI Open Access PDF OpenAlex

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