Forecasting Pipeline Construction Costs Using Time Series Methods
Author:
Affiliation:
1. Graduate Student, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.
2. Assistant Professor, Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.
Publisher
American Society of Civil Engineers
Link
http://ascelibrary.org/doi/pdf/10.1061/9780784483206.023
Reference26 articles.
1. Empirical Investigation of Temporal Association between Architecture Billings Index and Construction Spending Using Time-Series Methods
2. Abediniangerabi B. Ahmadi N. & Shahandashti M. (2018). “Is Architectural Billing Index Helpful to Explain Fluctuations in Non-residential Construction Spending in the United States?.” In Construction Research Congress 2018 (pp. 19–28).
3. Comparative empirical analysis of temporal relationships between construction investment and economic growth in the United States.;Ahmadi N.;Construction Economics and Building,2017
4. Empirical tests for identifying leading indicators of ENR Construction Cost Index
5. Ashuri B. Shahandashti S. and Lu J. (2012b). “Is the information available from historical time series data on economic energy and construction market variables useful to explain variations in ENR construction cost index?” Construction Research Congress 2012 ASCE Reston VA 457–464.
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