Heteroskedastic Ordered Probit Models with an Artificial Neural Network for Predicting Potential Consumer Ratings on Amazon Software Reviews

Jikhan Jeong

doi:10.1007/s10614-025-11107-8

Heteroskedastic Ordered Probit Models with an Artificial Neural Network for Predicting Potential Consumer Ratings on Amazon Software Reviews

Jikhan Jeong

Economics

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2393-2419
Number of pages	27
Journal	Computational Economics
Volume	68
Issue number	3
DOIs	https://doi.org/10.1007/s10614-025-11107-8
State	Accepted/In press - 2025

ASJC Scopus Subject Areas

Economics, Econometrics and Finance (miscellaneous)
Computer Science Applications

Keywords

Artificial neural networks
Digital platforms
Heteroskedastic ordered probit model
Online product reviews
Ordered probit model

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10.1007/s10614-025-11107-8

Cite this

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title = "Heteroskedastic Ordered Probit Models with an Artificial Neural Network for Predicting Potential Consumer Ratings on Amazon Software Reviews",

keywords = "Artificial neural networks, Digital platforms, Heteroskedastic ordered probit model, Online product reviews, Ordered probit model",

author = "Jikhan Jeong",

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year = "2025",

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journal = "Computational Economics",

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KW - Artificial neural networks

KW - Digital platforms

KW - Heteroskedastic ordered probit model

KW - Online product reviews

KW - Ordered probit model

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DO - 10.1007/s10614-025-11107-8

M3 - Article

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ER -

Heteroskedastic Ordered Probit Models with an Artificial Neural Network for Predicting Potential Consumer Ratings on Amazon Software Reviews

ASJC Scopus Subject Areas

Keywords

Access to Document

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