Measuring indoor air pollution in India : an application of quantile regression technique /
The case study discusses our methodology in detail and throws light on the use of the quantile regression technique. We clearly explain under what circumstances a researcher would use the quantile regression technique rather than relying upon classical linear regression models.We initiated this proj...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
London :
SAGE Publications Ltd,
2023.
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| Series: | SAGE Research methods cases.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | The case study discusses our methodology in detail and throws light on the use of the quantile regression technique. We clearly explain under what circumstances a researcher would use the quantile regression technique rather than relying upon classical linear regression models.We initiated this project to understand the impact of housing conditions on indoor air pollution caused by cooking with biomass fuel (BMF) in rural areas. Samples were chosen using a multi-stage sampling process that involves complete enumeration for creating a sampling frame. We measured the Carbon Monoxide concentration parts per million(CO ppm) from sampled households that voluntarily joined the survey process. Next, we conducted a primary survey of households for which the measurement survey was undertaken to measure level indoor air pollution and a questionnaire based face-to face interviews were undertaken to collect information on their socio-economic and demographic conditions. In addition, focus group discussions were conducted to gauge the awareness level about adverse effect of using biomass fuel on health condition of the subject and to inform them regarding the same. |
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| Physical Description: | 1 online resource : illustrations. |
| ISBN: | 9781529630886 1529630886 |