Quantile Regression Approach for Quality of Life of Construction Labourers in Varanasi City, India

Authors

  • Dharma Raj Division of Biostatistics & Bioinformatics, ICMR- National Institute for Research in Environmental Health, Bhopal, India
  • Prafulla Kumar Swain Department of Statistics, Utkal University, Bhubaneswar, India
  • Bailochan Behera Department of Geography, SKCG (Auto.) College, Odisha, India
  • Bhanu Pratap Singh Department of Statistics, Institute of Science, Banaras Hindu University, Varanasi, India

Keywords:

WHOQOL-BREF, environmental, psychological, physical, social, well-being

Abstract

The aim of this paper is to investigate the quality of life of construction labourers in the city of Varanasi, Uttar Pradesh, India. A cross-sectional study has been conducted and the factors associated with the quality of life are determined by using a quantile regression approach. 508 construction labourers were included in the study, of which 51.3 % below 34 years age. The investigation shows that the major factors that influence and decide the quality of work life of construction labours are viz., job status, duration of work as a labourer, distance from working place and income. The quantile regression approach may be considered an alternative approach for analysing quality of life related data.

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Published

2020-12-28

How to Cite

Raj, D., Kumar Swain, P., Behera, B., & Pratap Singh, B. (2020). Quantile Regression Approach for Quality of Life of Construction Labourers in Varanasi City, India. Thailand Statistician, 19(1), 58–68. Retrieved from https://ph02.tci-thaijo.org/index.php/thaistat/article/view/242811

Issue

Vol. 19 No. 1 (2021): January

Section

Articles