首页> 外文期刊>Journal of Management in Engineering >Stochastic Forecast of Construction Cost Index Using a Cointegrated Vector Autoregression Model
【24h】

Stochastic Forecast of Construction Cost Index Using a Cointegrated Vector Autoregression Model

机译:基于协整矢量自回归模型的工程造价指标随机预测

获取原文
获取原文并翻译 | 示例
           

摘要

The construction cost index (CCI) has been widely used to measure the cost trend in the construction industry. The index is used as an important input when estimating construction budgets and assessing risks in resource planning and cost management. To ensure accurate measurement, the properties of cost indexes should be investigated in their long- and short-run interactions with other variables, such as the consumer price index. This paper presents a cointegrated vector autoregression (VAR) model for forecasting the construction cost trend. This model has several advantages in terms of flexibility and dynamic interaction, and a comparison with existing methods demonstrates that the cointegrated VAR model can provide more accurate forecasts of the CCI. Practitioners can implement the cointegrated VAR forecasting technique using their own historical data. The index forecasts can not only provide more accurate estimation of construction budgets, but also evaluate the risk and uncertainty of cost escalation.
机译:建筑成本指数(CCI)已被广泛用于衡量建筑行业的成本趋势。在估算建筑预算和评估资源规划和成本管理中的风险时,该索引用作重要输入。为了确保准确的测量,应该在与其他变量(例如,消费者价格指数)的长期和短期交互关系中研究成本指数的属性。本文提出了一种用于预测建筑成本趋势的协整矢量自回归(VAR)模型。该模型在灵活性和动态交互方面具有多个优点,并且与现有方法的比较表明,协整VAR模型可以提供对CCI的更准确的预测。从业者可以使用自己的历史数据来实施协整的VAR预测技术。指数预测不仅可以提供更准确的建筑预算估计,还可以评估成本上涨的风险和不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号