. Author manuscript; available in PMC: 2018 Aug 4.

Published in final edited form as: Am Sociol Rev. 2017 Aug 4;82(5):945–976. doi: 10.1177/0003122417720466

Table A5.

Fixed Effects Time Series Logistic Regression Models Predicting School Absence, Waves 2–6

Variable^a	School absence during week preceding interview
Variable^a	Female OR/(se) (1)	Male OR/(se) (2)
Respondent was in a sexual relationship	1.03 (0.20)	1.59 (0.32)^*
Socio-economic Status	1.02 (0.06)	1.16 (0.10)^†
Current Year in School	1.03 (0.08)	1.03 (0.10)
Trouble paying school fees over past 4 months	1.21 (0.21)	1.49 (0.31)^†
Decline in health over past 4 months	1.01 (0.32)	1.77 (0.86)
Probabilistic estimate of being in school in 1 year	0.98 (0.02)	1.03 (0.04)
Employed	2.17 (1.19)	1.12 (0.79)

Observations (Respondents)	1752 (381)	1161 (238)

Notes:

^†

0.10,

0.05,

^**

0.01,

^***

0.001.

All independent variables are measured at the same time as the school absence variable.