Parents’ Education and Child Schooling Outcome: Evidence from Uganda

Abstract

This paper presents an analysis of the determinants of school enrolment and attainment rates in Uganda from a gender perspective. We used the DHS 2006 data set and employed maximum likelihood binary and ordered probit models in our estimation. Whereas improvements in parents' education promote the schooling outcome of both boys and girls, it is not without inclination. Fathers' education significantly favors boys' schooling and mothers' education significantly favors girls' schooling. This suggests that there are differences in parents' preferences for schooling of children. We also find that the higher the parents' education (secondary and postsecondary levels) the more favorable are the child's schooling outcomes. For more favorable child schooling outcomes for future generations, government should strengthen policies aimed at educating boys and girls beyond secondary level. The government universal secondary education program is a good start and needs to be strengthened.

More than Measurement Error: Discrepant Reporting of Contraceptive Use and the Role of Wives’ and Husbands’ Educational Attainment

“…Educational attainment is an important predictor of contraceptive use in low-income countries (Saleem and Bobak 2005;Heaton and Forste 1998;Ainsworth, Beegle, and Nyamete 1996;Barbosa et al 2021). More educated women are more likely to use modern methods (Bbaale and Mpuga 2011;Al Riyami, Afifi, and Mabry 2004;Saleem and Pasha 2008;Uchudi 2001). This association is attributed to a variety of factors.…”

“…2021). More educated women are more likely to use modern methods (Bbaale and Mpuga 2011; Al Riyami, Afifi, and Mabry 2004; Saleem and Pasha 2008; Uchudi 2001). This association is attributed to a variety of factors.…”

Prevalence and dynamics of contraceptive use by type during the COVID-19 pandemic: Evidence from Western Iran

“…Existing research has consistently highlighted various factors associated with contraceptive use, including educational attainment [15][16][17][18][19], age [18,19], fertility preferences [18][19][20][21], monthly income [20], sex preferences [22,23], mean age at marriage [24], employment status [24,25], place of residence [26,27], and access to family planning services [28]. These socioeconomic characteristics [29] collectively play a significant role in explaining the variations in contraceptive use.…”