Three essays on the informal sector
| dc.contributor.author | Khalid, Musah | |
| dc.contributor.examiningcommittee | Godwin, Ryan (Economics) Torabi, Mahmoud (Community Health Sciences) Casale, Daniela (University of Witwatersand) | en_US |
| dc.contributor.supervisor | Serieux, John (Economics) | en_US |
| dc.date.accessioned | 2017-09-07T16:05:45Z | |
| dc.date.available | 2017-09-07T16:05:45Z | |
| dc.date.issued | 2017 | |
| dc.degree.discipline | Economics | en_US |
| dc.degree.level | Doctor of Philosophy (Ph.D.) | en_US |
| dc.description.abstract | This thesis consists of three essays that examine: heterogeneity in informal wage employment; access and use of health insurance by individuals in the informal sector; and the gender wage gap in the sector. The first essay uses data from the sixth round of the Ghana Living Standards Survey (GLSS) and employs a finite mixture model to analyze the structure of informal wage employment, and evidence of segmentation in the Ghanaian labour market. The findings show that Ghanaian informal wage employment comprises two divisions --higher-paid and lower-paid-- each with a distinct wage function. Assuming workers are earnings-maximizers, we find that 72% to 79% of all informal wage employees are involuntary employed in the sector, and would be better off in other divisions of the labour market. In addition, using propensity score matching we estimate that the average informal wage employee, who could maximize their potential earnings in the formal sector, is potentially losing on the average $108.6--$148.7 monthly due to entry barriers in the formal sector. The second essay uses data from the World Bank's Living Standards Measurement Survey (LSMS) and propensity score matching to analyze how voluntary health insurance uptake impacts health care use in Ghana. We find robust evidence that older, wealthier and more educated individuals are more likely to buy health insurance, and that the average individual who voluntarily enrolls in the program uses more health care (about 35%) compared to an identical formal sector worker who is involuntary enrolled. The third essay investigates the gender wage gap across the conditional wage distributions of formal and informal sector wage earners in Ghana using a quantile regression technique with a correction for potential self-selection. In the informal sector, we find a 44% wage gap at the 25th quantile which increases to 52% at the 75th quantile. This contrasts with 5% -10% between same quantiles in the formal sector. This general pattern suggest significantly higher levels of discrimination in the informal sector, implying that the informal sector may be a cause of poverty for some female wage workers employed in the sector. | en_US |
| dc.description.note | October 2017 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1993/32493 | |
| dc.language.iso | eng | en_US |
| dc.rights | open access | en_US |
| dc.subject | Informal sector | en_US |
| dc.subject | Segmentation | en_US |
| dc.subject | Wage gap | en_US |
| dc.subject | Health insurance | en_US |
| dc.title | Three essays on the informal sector | en_US |
| dc.type | doctoral thesis | en_US |
| local.subject.manitoba | yes | en_US |