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. Author manuscript; available in PMC: 2008 Sep 1.
Published in final edited form as: J Dev Econ. 2007 Sep;84(1):188–214. doi: 10.1016/j.jdeveco.2006.11.004

Table 6.

Impact of unemployment shock to male head on child’s work and school transitions

Case Predicted probability with no employment shock
Predicted probability with employment shock
Percentage increase due to employment shock
Enter labor force Drop out of school Fail to advance grade Enter labor force Drop out of school Fail to advance grade Enter labor force Drop out of school Fail to advance grade

(1) (2) (3) (4) (5) (6) (7) (8) (9)
Case 1: Baseline (see note for definition) 0.242 0.023 0.311 0.365 0.050 0.394 51% 121% 27%
Baseline, but with:
Case 2: Child male instead of female 0.379 0.022 0.375 0.517 0.047 0.427 37% 116% 14%
Case 3: Parental schooling 8 years instead of 0 0.110 0.009 0.208 0.192 0.022 0.278 74% 149% 34%
Case 4: Year 1998 instead of 1982 0.157 0.013 0.224 0.206 0.056 0.269 31% 344% 20%
Case 5: Child age 12 instead of 16 0.053 0.011 0.288 0.071 0.016 0.342 35% 39% 19%
Percentage difference from
Case 1:
Case 2: Child male instead of female 57% −3% 21% 42% −5% 8% −28% −5% −48%
Case 3: Parental schooling 8 years instead of 0 −54% −60% −33% −47% −56% −30% 46% 22% 26%
Case 4: Year 1998 instead of 1982 −35% −44% −28% −44% 12% −32% −39% 184% −26%
Case 5: Child age 12 instead of 16 −78% −50% −7% −81% −69% −13% −31% −68% −30%

Note: Baseline is 16 year-old female in São Paulo, father age 45, mother age 40, father and mother with zero schooling, father continuously employed between months 1–4 and 13. Based on probit regressions with interactions in Table 5.