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Shaowei Ke

Biographic Data

ID1633121
NAMEShaowei Ke
GIVEN NAMESShaowei
FAMILY NAMEKe
SIGNATUREKE S
AFFILIATIONSKing University
ORCID0000-0002-2215-4049
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Logit neural-network utility

    Open Access•Sung-Lin Hsieh, Shaowei Ke et al.•ARTICLE•Journal of Economic Behavior &…•2025•References: 5

    We introduce stochastic choice models that feature neural networks, one of which is called the logit neural-network utility (NU) model. We show how to use simple neurons, referred to as behavioral neurons, to capture behavioral effects, such as the certainty effect and reference dependence. We find that simple logit NU models with natural interpretation provide better out-of-sample predictions than expected utility theory and cumulative prospect …

  • Can Investment Incentives Crowd Out Innovation? Evidence from China

    Shaowei Ke, Yao Lu et al.•ARTICLE•Economic Development and Cultural…•2025•References: 78

    We analyze the indirect effect of a fixed asset investment incentive on firm innovation by estimating the influence of China's value-added tax reform in 2004 using a difference-in-difference-in-differences approach. We find that the fixed asset investment incentive significantly reduces firm innovation. In a simple model, we show that the reduction could arise because some firms choose to upgrade their technology as a result of the investment inc…

No prominent works on this page.

  • Logit neural-network utility

    Open Access•Sung-Lin Hsieh, Shaowei Ke et al.•ARTICLE•Journal of Economic Behavior &…•2025•References: 5

    We introduce stochastic choice models that feature neural networks, one of which is called the logit neural-network utility (NU) model. We show how to use simple neurons, referred to as behavioral neurons, to capture behavioral effects, such as the certainty effect and reference dependence. We find that simple logit NU models with natural interpretation provide better out-of-sample predictions than expected utility theory and cumulative prospect …

  • Can Investment Incentives Crowd Out Innovation? Evidence from China

    Shaowei Ke, Yao Lu et al.•ARTICLE•Economic Development and Cultural…•2025•References: 78

    We analyze the indirect effect of a fixed asset investment incentive on firm innovation by estimating the influence of China's value-added tax reform in 2004 using a difference-in-difference-in-differences approach. We find that the fixed asset investment incentive significantly reduces firm innovation. In a simple model, we show that the reduction could arise because some firms choose to upgrade their technology as a result of the investment inc…

Artificial Intelligence (1 works) · Artificial neural network (1 works) · Bayesian Modeling and Causal Inference (1 works) · Business (1 works) · China (1 works) · Computer Science (1 works) · Corporate Finance and Governance (1 works) · Crowding out (1 works) · Econometrics (1 works) · Economics (1 works)

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