Abstracts – Browse Results
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Al-Shabbani, Z (2019) Improving safety performance of highway maintenance crews through pre-task safety toolbox talks, Unpublished PhD Thesis, , University of Kentucky.
Catalina, A J (2016) Development of a statistical theory-based capital cost estimating methodology for light rail transit corridor evaluation under varying alignment characteristics, Unpublished PhD Thesis, , University of Kentucky.
Dadi, G B (2013) Applying cognitive principles to the delivery of engineering information by different mediums, Unpublished PhD Thesis, , University of Kentucky.
Dai, J (2006) A latent analysis and prototype system to manage jobsite factors impacting construction labor productivity, Unpublished PhD Thesis, , University of Kentucky.
Dyer, B D (2010) Construction industry productivity: Examining the effects of omitted variable bias in the census construction price index models, Unpublished PhD Thesis, , University of Kentucky.
- Type: Thesis
- Keywords: coordination; workforce; construction equipment; construction labor; construction site; equipment; productivity; training; focus group
- ISBN/ISSN:
- URL: https://www.proquest.com/docview/863829870
- Abstract:
A fundamental challenge to the US construction industry is an establishment of an accurate measure of the industry's productivity. Macroeconomic studies have shown a decline in construction productivity (Stokes 1981, BRT 1983, Allen 1985, and Teicholtz 2000), while micro studies have shown an increase (Allmon et al. 2000 and Goodrum et al. 2002). One theory to explain these opposing results might be that current measurements of construction inflation do not adequately consider the change in quality and amenities provided in today's structures as compared to when the measurements were first established. An index that is considered to be one of the industry's major measurements of construction inflation is the U.S. Census Bureau New One-Family Houses under Construction Price Index. This dissertation examines the current hedonic regression model used by the Census Bureau to estimate this price index, which is used to help measure a significant proportion of the industry's real output. This study compares the current hedonic model with a proposed model, which will include quality variables which are not part of Census' current hedonic model. Previous research suggests that omitted quality variables in the Census' price index leads to an omitted variable bias which overestimates construction inflation, leading to both an underestimate of construction industry output and productivity. However, previous research has not formalized necessary changes to the Census index to avoid this bias, nor has the bias been actually measured in order to quantify its direction or magnitude. This study helps to determine the magnitude of the bias, as well as provide a direction for change if needed. KEYWORDS: Real Construction Output, Construction Inflation Indexes, Census Indexes, Construction Quality Measurement, Construction Productivity
Jazayeri, E (2019) Hazard recognition and risk perception among union electricians, Unpublished PhD Thesis, , University of Kentucky.
Karimi, H (2017) Quantitative analysis of the impact of craft labor availability on construction project performance, Unpublished PhD Thesis, , University of Kentucky.
Liu, H (2017) The impact of owner practices and procedures on construction project safety performance, Unpublished PhD Thesis, , University of Kentucky.
Uddin, M M (2011) Robust statistical methods for non-normal quality assurance data analysis in transportation projects, Unpublished PhD Thesis, , University of Kentucky.
Yasin, M F (2005) A taxonomy and analysis of the relationship between changes in material technology and construction productivity, Unpublished PhD Thesis, , University of Kentucky.
Zhai, D (2010) The relationship between information technology and construction productivity, Unpublished PhD Thesis, , University of Kentucky.