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Household and Individual Determinants on off-spring’s Educational Expenditure : Evidence from Arab countries
1. Riham Rizk
The British University in Egypt(BUE)
Hala Abou-Ali
FEPS, Cairo University
Household and Individual Determinants on off-spring’s Educational
Expenditure : Evidence from Arab countries
ERF Workshop on education in The ERF Region
3. Motivation
Education is at the top of the reform agenda for many policymakers in
the Arab countries especially in Egypt.
Education is considered an antidote for reducing poverty levels and
promoting economic growth, both at the national and household levels.
Education is seen as a solution against authoritarian governments and
a condition for achieving democracy.
4. Where is the problem, then ? (1/2)
The average level of education among MENA population is still very low
compared to East Asia and Latin America.
The average gross enrollment in the secondary school was: about 75% in MENA, 78% in East
Asia and 90% in Latin America.
The average gross enrollment in higher education reached about 26% in 2003 in MENA which
represent two-thirds of the other two regions average.
Spending on education as a percentage of GDP reaches 5% compared to 3.6% and 3.9% in East
Asia and Latin America, respectively.
This could be attributed to the free education applied to secondary and
higher education compiled. Altogether, lead to low level of Arab countries
human capital.
*Reference :World Bank ( 2008)
5. Where is the problem, then ? (2/2)
There is a huge concern to public expenditure on education while
continuing ignoring the household expenditure quantum proves to lead
to incorrect long run government educational policies.
The relation between public and private spending could be either
complementary or substitute.
6. Objectives
To what extent the amount of household income affects the demand on
education in Arab countries?
What are the patterns of household education expenditures in Arab
countries? And, to what extent it differs with household and individual
characteristics ?
What are the various factors that determine household and individual
expenditure on education in Arab countries? Do they differ from one
country to another in the region? And why?
8. Methodology (1/2)
To estimate individual and household determinants of
education expenditure , we use Robust OLS model to reduce
Heteroscedasity problem. Thus , logged annual household expenditure
was regressed on various family characteristics such as
Household income, Father’s education , Mother’s education, Father’s occupation, Mother’s
occupation, number of children at each different age categories and geographic residence.
The conceptual model follows Mincer’s schooling model :Mincer’s schooling model :
Log HHEX=Log HHEX=αα ++ββggww++γγXXii++ЄЄ
9. Methodology (2/2)
FirstFirst, Pooled sample model including all individualistic characteristics for the
family is estimated.
SecondSecond, the full sample was divided into income quintiles and the same model
was estimated separately for each subsample, in order to examine at each
income level the effects of family characteristics on household’s expenditure
pattern on education following Quang (2012).
ThirdThird , we grouped the sample by children’s age to study the link between the
economic circumstances and patterns of educational allocation among the
school-aged children following Hannum (2005) and Qian & Smyth (2010). The
model was estimated separately for each subsample with pre- and primary
school aged children, secondary-aged and college-aged children focusing
on income effect and geographic location.
10. FinallyFinally, the Mincerian model is regressed again on the various
household characteristics was namely, household income, head’s
education, head’s occupation, household’s number of children and
household's geographic location.
11. Results highlight(1/4)
The main findings that emerge from this study are three folds:
Household income has significant effects on the magnitude of
educational expenditure
Education and occupation of household “head” “Mother’s and father’s”
matter.
Households place of residence has a significant impact.
12. Results highlight(2/4)
Individual Determinants..
A)Using log Total Household educational expenditure
Log (HH Educational expenditure) Egypt Tunisia Jordon Palestine Sudan
Father's education level
Primary 0.175*** 0.055 0.113 0.290*** -0.026
Secondary 0.302*** 0.171*** 0.283** 0.416*** 0.209***
Tertiary 0.397*** 0.214*** 0.704*** 0.751*** 0.599***
Mather's education level
Primary 0.278*** 0.162** 0.039 0.074 0.279***
Secondary 0.390*** 0.140*** 0.099 0.454*** 0.538***
Tertiary 0.485*** 0.201*** 0.512*** 0.403*** 0.623***
Household decomposition
No. Pre-primary school age children -0.194*** 0.015** -0.445*** -0.227*** -0.200***
No. of Secondary-age children 0.103** -0.125** -0.536** -0.157** 0.081**
No. of college -age children 0.715*** 0.669*** 0.488*** 0.234*** 0.529***
Household income
Income quintile 2 0.290*** 0.234*** 0.024 0.036 0.072
Income quintile 3 0.423*** 0.490*** 0.190* 0.229*** 0.275***
Income quintile 4 0.499*** 0.721*** 0.170* 0.294*** 0.365***
Income quintile 5 1.002*** 1.094*** 0.394*** 0.418*** 0.899***
13. Egypt Jordon Palestine Sudan
Father’s occupation
Cadres 0.327*** -0.712 0.439*** #
Middle professional 0.137** 0.377*** 0.218***
Lower professional -0.038 0.283*** 0.180***
Blue collar and service -0.014 -0.015 0.082
Unemployment 0.015 -0.649*** -0.032
Mother’s occupation
Cadres 0.028 -0.441 0.541**
Middle professional 0.029 0.219* 0.551***
Lower professional 0.035 -0.49 0.185***
Blue collar and service 0.128*** -0.653 -0.079
Unemployment -1.106 -0.054 -0.194
Household Place of residence
Lower Egypt North West Bank Western
-0.371*** -0.397*** 0.105*** 0.155***
Upper Egypt South Eastern
-1.215*** -0.598*** 0.123**
Northern
0.032
N 10276 3046 11394 6144
R-square 0.441 0.459 0.324 0.377
14. Results highlight(3/4)
Table (2): Using Log Share of Educational Expenditure
Log (Education share ) Egypt Jordon Palestine Sudan
Father's education level
Primary 0.169*** 0.09 0.276*** 0.007
Secondary 0.298*** 0.219** 0.430*** 0.220***
Tertiary 0.442*** 0.638*** 0.762*** 0.689***
Mather's education level
Primary 0.301*** 0.094 0.039 0.201***
Secondary 0.403*** 0.175 0.402*** 0.410***
Tertiary 0.590*** 0.572*** 0.360*** 0.538***
Household decomposition
No. Preschool age children -0.198*** -0.443*** -0.228*** 0.017
No. of secondary age children 0.706*** 0.497*** 0.232*** 0.276***
No. of college -age children -0.032** 0.504*** 0.515*** 0.425***
Household income
Income quintile 2 -0.03 -0.388*** -0.722*** -0.800***
Income quintile 3 -0.121*** -0.495*** -0.936*** -1.127***
Income quintile 4 -0.286*** -0.869*** -1.235*** -1.504***
Income quintile 5 -0.269*** -1.235*** -1.735*** -1.837***
15. Egypt Jordon Palestine Sudan
Household Place of
residence
Lower Egypt North West Bank Western
-0.346*** -0.367*** 0.105*** 0.288***
Upper Egypt South Eastern
-1.162*** -0.543*** 0.014
Northern
-0.003
N 10276 3046 11394 6144
R-square 0.441 0.382 0.314 0.267
16. Results highlight(4/4)
Household Determinants of Education Expenditure
Egypt Tunisia Jordon Palestine Sudan
Dependent variable : Log educational Expenditure
Household Income
Second quintile 0.367*** 0.259*** 0.401*** 0.142 0.217***
Third quintile 0.542*** 0.502*** 0.755*** 0.243** 0.341***
Fourth quintile 0.711*** 0.776*** 0.862*** 0.573*** 0.465***
Fifth quintile 1.190*** 1.117*** 1.694*** 0.768*** 0.985***
Household's head
education
Primary 0.230*** 0.042 0.560*** 0.297*** 0.237***
Secondary 0.490*** 0.186*** 1.275*** 0.570*** 0.519***
College 0.812*** 0.303*** 1.521*** 0.800*** 0.986***
Number of school -aged
children
No. of pre-Prim school-
aged children 0.126*** 0.213*** -0.166*** -0.133*** 0.003
No. of secondary school
aged children 0.438*** 0.304*** 0.09 0.055 0.316***
No. of college-aged
children 0.090*** 0.223*** 0.305*** 0.527*** 0.378***
N 4233 6406 1881 2659 2624
R-square 0.391 0.229 0.257 0.229 0.255
In fact, the average gross enrollment in the secondary school was about 75% in MENA, 78% in East Asia and 90% in Latin America. While average gross enrollment in higher education reached about 26% in 2003 in MENA which represent two-thirds of the other two regions average. However, spending on education as a percentage of GDP reaches 5% compared to 3.6% and 3.9% in East Asia and Latin America, respectively
As such information is crucial for planning of public resource allocation to education.
It could be complementary , if gov. spending on education increases , based on household encouraged and contribute more to education and that lead to consume less today and invest in education and obtain more future earnings.
It could be substitute , if gov. spend less in terms of physical and human infrastructure in schools , so household have to finance their education.
The study investigates the determinants of household expenditure on children’s education and it makes use of group of explanatory variables to capture household characteristics as income, number of children, education of household head as well as his occupations and others.
Our research objectives is summarized in three questions.
household’s number of children and other characteristics that might affect household education expenditure decision.
This study empirically estimates several equations:
Quang (2012) in estimating separate regressions for different income quintiles to examine various household characteristics at different income levels.
First, education expenditure in Jordon and Egypt responds highly to household income while Palestine, Sudan and Tunisia an inelastic relationship.
Second, education and occupation of household head matter. Heads with post-secondary or university degree, and works in professional occupations are likely to spend more on children’s education especially in Sudan, Tunisia and Palestine.
Third, households residing in center provinces of countries are likely to spend more than their counterparts living in the southern and northern provinces.
More focus should be given more to household with offspring at the secondary level is likely to spend more on education compared to their counterparts and this attributed to spending on the private tutoring which consume about two-thirds of household's income to enable their children to pass thanawyia amma and join the college.
Egypt allocates around 50% of total expenditure on education for the secondary- aged childen
Jordon allocates 64% of the total household expenditure on education to Tertiary aged children . This is attributed to low public spending on tertiary education in Jordon as well as Palestine, on the contrary the case of Egypt , as free tution fees are also covered the college-age students