Identifying Wage Disparities in Construction Labor Market by Job Types, Experiences, and Locations across the United States

Heung Jin Oh; Baabak Ashuri

doi:10.29007/zw38

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Identifying Wage Disparities in Construction Labor Market by Job Types, Experiences, and Locations across the United States

9 pages•Published: May 26, 2024

Heung Jin Oh and Baabak Ashuri

Abstract

This study focuses on the critical examination of wage disparities within the expansive landscape of the United States’ construction labor market. While wage differentials are not surprising considering different conditions of job requirements, comprehending and delineating these disparities on a national scale presents considerable challenges. To address this issue, this study employs web scraping techniques to collect data from construction job openings across the country. This study then applies natural language processing techniques to extract information related to wages, job types, work experience requirements, and geographical locations of the job postings. This approach involves web scraping, text mining, ANOVA analyses, and spatial visualization techniques to detect and represent wage disparities within the construction labor market. This research not only contributes to creating a structured repository of wage disparity data but also provides a visual understanding of the intricate landscape of wage differentials, revealing interactions between various key variables. This research will serve as a valuable resource not only to researchers but also to policymakers and employers, contributing to a deeper understanding of wage disparities within the construction labor domain.

Keyphrases: ANOVA, Construction workforce, text mining, wage disparities, web scraping

In: Tom Leathem, Wesley Collins and Anthony J. Perrenoud (editors). Proceedings of 60th Annual Associated Schools of Construction International Conference, vol 5, pages 750--758

Links:	https://easychair.org/publications/paper/r7Fq3
	https://doi.org/10.29007/zw38

BibTeX entry

@inproceedings{ASC2024:Identifying_Wage_Disparities_in,
  author    = {Heung Jin Oh and Baabak Ashuri},
  title     = {Identifying Wage Disparities in Construction Labor Market by Job Types, Experiences, and Locations across the United States},
  booktitle = {Proceedings of 60th Annual Associated Schools of Construction International Conference},
  editor    = {Tom Leathem and Wes Collins and Anthony Perrenoud},
  series    = {EPiC Series in Built Environment},
  volume    = {5},
  pages     = {750--758},
  year      = {2024},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2632-881X},
  url       = {https://easychair.org/publications/paper/r7Fq3},
  doi       = {10.29007/zw38}}

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