Abstract
Both developed and developing countries are facing youth unemployed problems. The main objective of the study is to identify the determinants of youth unemployment in Nepal, using secondary data. For empirical analysis, the study uses multivariate Logit regression model to identify the determinants of youth unemployment. The logistic model shows that the sample variables like time spend in farm, ever-married, communication, completed school year, training have positive relationship with probability of being youth unemployed whereas urban, house ownership, male, household size, Koshi Pradesh, Bagmati Pradesh, Gandaki Pradesh, Lumbini Pradesh, Karnali Pradesh and Sudurpaschim Pradesh have negative relationship with proability of being youth unemployed. The sample variables like as time spend in farm, completed school year, Koshi Pradesh, Bagmati Pradesh, Gandaki Pradesh, Lumbini Pradesh, Karnali Pradesh and Sudurpaschim Pradesh are significant at 1 percent level and other explanatory variable like urban, ever-married, house ownership, communication, male, training, household size are not significant but they are important determinants of youth unemployment. This study suggests that more investment on education, improve agriculture sector, emphasis on regional balance and consider the determinant factors.
Published Version
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
