Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12306/6060
Title: Determinants of schooling returns:
Other Titles: a case study of employees of Atutur hospital in Kumi district
Authors: Ilakut, Geofrey
Keywords: Schooling returns
Employees
Atutur hospital
Kumi district
Issue Date: Apr-2019
Publisher: Kampala International University, College of Economics and Management
Abstract: This study mainly focused on investigating the relationship between schooling and the earnings (wages) of the health workers. A case study was carried on employees of Atutur referral hospital in Kumi district in Eastern Uganda. The study specific objectives were to fin~1 out the level of earnings of health workers, determine the relationship between years of schooling, age, and experience and education level on employee earnings. And finally to investigate the effect of years of schooling, age, experience and education level on earnings of employees. The researcher investigated the relationship between years of schooling, age and experience by carrying out correlations on earnings and testing hypothesis using the t sampling statistics. However since education was a categorical variable the researcher used the one way ANOVA and test hypothesis for statistical difference in means earnings of each education level. To investigate the effect of years of schooling, age, and experience and education level on earnings, the researcher used the Mincerian OLS regression model that regresses the natural logarithm of earnings of employees and this effect tested using the F statistic. The Pearson correlation coefficients sig. (2tailed) yielded correlation coefficients of 0.54 for years of schooling, -0.208 for age and -0.267. One way ANOVAF ((2, 79) =54.664, p=O.003) showed at least there was significant differences in mean earnings of each education levels, at 0.05 level and a Tukey post hoc test for multiple comparison of mean earnings of each education level showed that this mean differences were statistically significantly higher on tertiary levels (13.19 }0.713, p=O.000) compared to primary level (11.12 }0.522, p0.508) and secondary (11.47 }0.818, p=O.508). This showed a no statistical significant difference in mean earnings of primary and secondary education level. The results also showed earnings rise with education level. A secondary education added a 0.35 mean earnings on primary level and a tertiary level added a 1.72 mean earnings to secondary schooling. Regression at 95% confidence level yielded regression coefficients of 0.019 for years of schooling, 0.028 for age, -0.015 for experience and -1.6348 for primary education and -0.9432 on secondary education (regression coefficients for education taken for dummies of ‘0’ and ‘1’ tertiary education was used as a reference group. The researcher observed that earnings were significantly dependent on years of schooling, age and experience and education level. It was also observed that earnings were significantly lower for primary
Description: Dissertation Submitted to the College of Economics and Management Department of Economics and Applied Statistics in Partial Fulfillment for the Award of the Degree of Bachelor of Economics and Applied Statistics of Kampala International University
URI: http://hdl.handle.net/20.500.12306/6060
Appears in Collections:Bachelors Degree in Economics

Files in This Item:
File Description SizeFormat 
1226837753-img04623.pdfFull text3.58 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.