Dear Statalisters,
I am trying to examine the association between household wealth and expenditure on education of children aged 11-17 and 5-10 in a developing country using the following equation. In particular, I am trying to find out, using interactions, whether there is a gender bias in education expenditure when households become wealthier.
educexp = β0 + β1hhwealth+ β2 femalechild+ β3 hhwealth*femalechild + εij
The following results are obtained using Stata’s regress command.
Thanks in advance!
Monzur
I am trying to examine the association between household wealth and expenditure on education of children aged 11-17 and 5-10 in a developing country using the following equation. In particular, I am trying to find out, using interactions, whether there is a gender bias in education expenditure when households become wealthier.
educexp = β0 + β1hhwealth+ β2 femalechild+ β3 hhwealth*femalechild + εij
The following results are obtained using Stata’s regress command.
Code:
regress educexp hhwealth fem hhwealth_fem `xlist'
//edu=amount spent on education, hhwealth=wealth score for household (ranges from 0 to 1), hhwealth_fem =interaction, fem=1 if child is female, ‘xlist’=other controls
test hhwealth + hhwealth_fem = 0 //tests for the total coef of education expenditure for girls */
//Model 1, OLS results for children aged 11-17
Number of obs = 1389
F( 25, 7363) = 58.37
Prob > F = 0.0000
Total (centered) SS = 11017.3301 Centered R2 = 0.0860
Total (uncentered) SS = 137816.5819 Uncentered R2 = 0.9269
Residual SS = 10069.54863 Root MSE = 1.167
---------------------------------------------------------------------------------
| Robust
educexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
----------------+----------------------------------------------------------------
hhwealth | 2.610727 .6607312 3.95 0.000 -3.905736 -1.315718
hhwealth_fem | .2575813 .9501439 0.27 0.786 -1.604667 2.119829
( 1) hhwealth + hhwealth_fem = 0
chi2( 1) = 10.18
Prob > chi2 = 0.0014
//Model 2, OLS results for children aged 5-10
Number of obs = 1753
F( 28, 1724) = 14.43
Prob > F = 0.0000
Total (centered) SS = 2545.653304 Centered R2 = 0.0506
Total (uncentered) SS = 33414.29053 Uncentered R2 = 0.9277
Residual SS = 2416.963353 Root MSE = 1.174
---------------------------------------------------------------------------------
| Robust
educexp | Coef. Std. Err. z P>|z| [95% Conf. Interval]
hhwealth | 2.29354 .3376879 4.30 0.000 -4.846931 .2598504
hhwealth_fem | -.3177346 1.802572 -0.18 0.860 -3.850712 3.215242
( 1) hhwealth + hhwealth_fem = 0
chi2( 1) = 10.18
Prob > chi2 = 0.2014
How do I interpret the results above? Is it correct to say that the results in Model 1 suggest that household wealth is significantly associated with in an increase in educational expenditure for both boys and girls in the older age group? And Model 2 shows that increasing household wealth is significantly associated with an increase in educational expenditure for only boys aged 5-10, thus suggesting a possible gender bias?
Thanks in advance!
Monzur