Water Price Prediction for Increasing Market Efficiency Using Random Forest Regression: A Case Study in the Western United States

The existence of water markets establishes water prices, promoting trading of water from low- to high-valued uses. However, market participants can face uncertainty when asking and offering prices because water rights are heterogeneous, resulting in inefficiency of the market. This paper proposes th...

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Bibliographic Details
Main Authors: Ziyao Xu, Jijian Lian, Lingling Bin, Kaixun Hua, Kui Xu, Hoi Yi Chan
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/11/2/228