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. Author manuscript; available in PMC: 2019 Jul 30.
Published in final edited form as: World Dev. 2017 Mar 7;95:55–72. doi: 10.1016/j.worlddev.2017.02.017

Table 17.

Lee bounds ANCOVA estimates on the average impact of the CGP on women’s sole or joint decision making (unadjusted models)

Children’s health Children’s schooling Own income Partner’s income Major purchases Daily purchases Children’s clothes or shoes Family visits Own health Count of DM
Full Impact 0.012 0.033 0.033 0.056 0.003 0.006 0.016 0.029 0.009 0.338
(0.015) (0.019)* (0.013)** (0.021)** (0.020) (0.012) (0.011) (0.021) (0.016) (0.115)***
lower −0.005 0.018 −0.002 0.052 −0.012 −0.012 −0.001 0.015 −0.009 0.311
(0.014) (0.014) (0.015) (0.015)*** (0.014) (0.013) (0.013) (0.014) (0.014) (0.086)***
upper 0.016 0.038 0.034 0.059 0.007 0.007 0.018 0.033 0.011 0.312
(0.010) (0.012)*** (0.010)*** (0.019)*** (0.012) (0.008) (0.009)** (0.012)*** (0.010) (0.156)**
N 7,555 7,555 7,555 7,555 7,555 7,555 7,555 7,555 7,555 7,555

Notes: Estimations use OLS ANCOVA models and the stata ‘leebound’ command to replicate unadjusted models from Table 4. The Lee (2009) bounds are estimated without covariates because the estimation procedure requires the explanatory variables to be discrete, which prevent the use of value of the dependent variable at baseline as a regressor in order to gain precision in program estimates. Robust standard errors at the CWAC level are in parentheses. Asterisks indicate significance level:

*

p < 0.1,

**

p < 0.05,

***

p < 0.01.