Forecasting Liquidated Damages via Machine Learning-Based Modified Regression Models for Highway Construction Projects
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References listed on IDEAS
- Michael J. Seiler, 2017.
"Do Liquidated Damages Clauses Affect Strategic Mortgage Default Morality? A Test of the Disjunctive Thesis,"
Real Estate Economics, American Real Estate and Urban Economics Association, vol. 45(1), pages 204-230, February.
- Michael J. Seiler, 2017. "Do Liquidated Damages Clauses Affect Strategic Mortgage Default Morality? A Test of the Disjunctive Thesis," Framed Field Experiments 00627, The Field Experiments Website.
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Cited by:
- Odey Alshboul & Ali Shehadeh & Rabia Emhamed Al Mamlook & Ghassan Almasabha & Ali Saeed Almuflih & Saleh Y. Alghamdi, 2022. "Prediction Liquidated Damages via Ensemble Machine Learning Model: Towards Sustainable Highway Construction Projects," Sustainability, MDPI, vol. 14(15), pages 1-23, July.
- Odey Alshboul & Ali Shehadeh & Ghassan Almasabha & Ali Saeed Almuflih, 2022. "Extreme Gradient Boosting-Based Machine Learning Approach for Green Building Cost Prediction," Sustainability, MDPI, vol. 14(11), pages 1-20, May.
- Świtała Maciej, 2024. "Predicting the Amount of Compensation for Harm Awarded by Courts Using Machine-Learning Algorithms," Central European Economic Journal, Sciendo, vol. 11(58), pages 214-232.
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Keywords
sustainability; liquidity damages; construction project; multiple linear regression;All these keywords.
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