110 CHAPTER 5


Table 5.6 Impact of prime-age adult mortality on adolescent transition from school to labor market


Explanatory variable


Prime-age deaths (20–64 years)


× Male


Prime-age working deaths (20–64 years)


× Male


Prime-age deaths (20–44 years)


× Male


Male prime-age deaths (20–64 years)


× Male


Female prime-age deaths (20–64 years)


× Male Maternal death Paternal death


Number of observations Pseudo R2


16.201 16.717 (21.14) (21.89) 16.263 17.245 (30.25) (30.58)


754 754 0.3358 0.3381


16.712 15.542 15.674 15.212 (13.15) (21.77) (20.47) (20.47) 16.663 16.422 16.797 14.843 (26.15) (24.56) (17.81) (24.45)


754 754 754 754 0.3458 0.3489 0.3536 0.3384


Sources: University of KwaZulu-Natal / International Food Policy Research Institute / University of Wisconsin–Madison (1998, 2004).


Notes: The dependent variable equals one if the individual was in the labor force in 2004 and zero if in school. Fixed-effect logit estimation used. The numbers in parentheses are absolute z-values. Robust standard errors are used with household-level clusters. Sample consists of those aged 14–19 years in 1998.


Columns 4 and 5 add the number of prime-age deaths using the age definition 20–44 years. The results show that while the death of prime-age members using ages 20–64 is insignificant, deaths among members aged 20–44 significantly increases the transition of adolescents from school to labor mar- kets. Interestingly, male adolescents are more likely than females to stop attending school when more economically active household members die (that is, those aged 20–44 and/or working and of prime age).


(1) (2) (3) (4) (5)


2.8709 3.2951 3.4267 1.2103 0.4379 (4.01) (3.29)


(3.38) (1.34) (0.36) –0.2792 (1.04)


–1.1591 –2.3317 (0.76)


(1.48)


16.712 (13.15)


2.8765 3.0571 (2.87)


(3.04)


11.493 (11.41)


3.6413 2.7531 (3.54)


(2.58)


13.840 (12.89)


2.3824 2.3214 (3.16)


(3.15)


0.1798 (0.22) 15.517 (21.06) 15.147 (25.20)


754 0.3418


1.5080 (1.25)


(6) (7)


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