SlideShare a Scribd company logo
1 of 21
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
Overview
Motivation
Data and methodology
Empirical results
Stylized facts
Conclusion and recommendations
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.
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)
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.
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?
Data
ERF-OAMDI Harmonized Household Income and
Expenditure Surveys 2010/2011 for
Egypt,
 Jordan,
 Palestine,
 Tunisia,
 and Sudan 2009.
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
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.
 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.
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.
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***
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
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***
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
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
Stylized Facts (1/3)
Stylized Facts (2/3)
Stylized Facts (3/3)
Recommendations
Conditional cash transfers
Subsidies
Thank you
REHAM RIZK
ASSISTANT PROFESSOR
BRITISH UNIVERSITY IN EGYPT
REHAM.RIZK@BUE.EDU.EG

More Related Content

Similar to Household and Individual Determinants on off-spring’s Educational Expenditure : Evidence from Arab countries

Returns to education: An updated comparison from Arab countries
Returns to education: An updated comparison from Arab countriesReturns to education: An updated comparison from Arab countries
Returns to education: An updated comparison from Arab countriesEconomic Research Forum
 
Expenditure ed
Expenditure edExpenditure ed
Expenditure edrichardz07
 
Making egyptian education spending more effective july 2005
Making egyptian education spending more effective   july 2005Making egyptian education spending more effective   july 2005
Making egyptian education spending more effective july 2005Ziad Moses
 
Anthony Orji_2023 AGRODEP Annual Conference
Anthony Orji_2023 AGRODEP Annual ConferenceAnthony Orji_2023 AGRODEP Annual Conference
Anthony Orji_2023 AGRODEP Annual ConferenceAKADEMIYA2063
 
Educational Outcomes and Poverty
Educational Outcomes and PovertyEducational Outcomes and Poverty
Educational Outcomes and PovertyRECOUP
 
An Investigation into Poverty and Educational Outcomes in Ghana
An Investigation into Poverty and Educational Outcomes in GhanaAn Investigation into Poverty and Educational Outcomes in Ghana
An Investigation into Poverty and Educational Outcomes in GhanaRECOUP
 
The Costs of Missing the Millennium Development Goals on Gender Equity
The Costs of Missing the Millennium Development Goals on Gender EquityThe Costs of Missing the Millennium Development Goals on Gender Equity
The Costs of Missing the Millennium Development Goals on Gender EquityAndy Dabydeen
 
Economy of Education in Iran
Economy of Education in IranEconomy of Education in Iran
Economy of Education in IranSepehr rf
 
Monitoring the implications of the global financial crisis on primary schools...
Monitoring the implications of the global financial crisis on primary schools...Monitoring the implications of the global financial crisis on primary schools...
Monitoring the implications of the global financial crisis on primary schools...UN Global Pulse
 
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...The Impact Initiative
 

Similar to Household and Individual Determinants on off-spring’s Educational Expenditure : Evidence from Arab countries (20)

Returns to education: An updated comparison from Arab countries
Returns to education: An updated comparison from Arab countriesReturns to education: An updated comparison from Arab countries
Returns to education: An updated comparison from Arab countries
 
Expenditure ed
Expenditure edExpenditure ed
Expenditure ed
 
Expenditure ed
Expenditure edExpenditure ed
Expenditure ed
 
Making egyptian education spending more effective july 2005
Making egyptian education spending more effective   july 2005Making egyptian education spending more effective   july 2005
Making egyptian education spending more effective july 2005
 
Anthony Orji_2023 AGRODEP Annual Conference
Anthony Orji_2023 AGRODEP Annual ConferenceAnthony Orji_2023 AGRODEP Annual Conference
Anthony Orji_2023 AGRODEP Annual Conference
 
Educational Outcomes and Poverty
Educational Outcomes and PovertyEducational Outcomes and Poverty
Educational Outcomes and Poverty
 
654216398.pdf
654216398.pdf654216398.pdf
654216398.pdf
 
An Investigation into Poverty and Educational Outcomes in Ghana
An Investigation into Poverty and Educational Outcomes in GhanaAn Investigation into Poverty and Educational Outcomes in Ghana
An Investigation into Poverty and Educational Outcomes in Ghana
 
The Costs of Missing the Millennium Development Goals on Gender Equity
The Costs of Missing the Millennium Development Goals on Gender EquityThe Costs of Missing the Millennium Development Goals on Gender Equity
The Costs of Missing the Millennium Development Goals on Gender Equity
 
Economy of Education in Iran
Economy of Education in IranEconomy of Education in Iran
Economy of Education in Iran
 
Open schooling programme
Open schooling programmeOpen schooling programme
Open schooling programme
 
lasers
laserslasers
lasers
 
Educar en el s XXI. UIMP 2013. Does School Autonomy Make Sense Everywhere? 
Educar en el s XXI. UIMP 2013. Does School Autonomy Make Sense Everywhere?  Educar en el s XXI. UIMP 2013. Does School Autonomy Make Sense Everywhere? 
Educar en el s XXI. UIMP 2013. Does School Autonomy Make Sense Everywhere? 
 
A Re-Examination of the Determinants of Child Labour in Côte d’Ivoire
A Re-Examination of the Determinants of Child Labour in Côte d’IvoireA Re-Examination of the Determinants of Child Labour in Côte d’Ivoire
A Re-Examination of the Determinants of Child Labour in Côte d’Ivoire
 
Monitoring the implications of the global financial crisis on primary schools...
Monitoring the implications of the global financial crisis on primary schools...Monitoring the implications of the global financial crisis on primary schools...
Monitoring the implications of the global financial crisis on primary schools...
 
Education Situation
Education SituationEducation Situation
Education Situation
 
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...
Putting Children First: Session 2.1.A Adrian Gauci & Kalkidan Assefa - Nutrit...
 
ECCE Policy Brief_UNESCO_2016
ECCE Policy Brief_UNESCO_2016ECCE Policy Brief_UNESCO_2016
ECCE Policy Brief_UNESCO_2016
 
MPRA_paper_28426.pdf
MPRA_paper_28426.pdfMPRA_paper_28426.pdf
MPRA_paper_28426.pdf
 
Education at a Glance 2009: OECD Indicators
Education at a Glance 2009: OECD IndicatorsEducation at a Glance 2009: OECD Indicators
Education at a Glance 2009: OECD Indicators
 

More from Economic Research Forum

Session 4 farhad mehran, single most data gaps
Session 4 farhad mehran, single most data gapsSession 4 farhad mehran, single most data gaps
Session 4 farhad mehran, single most data gapsEconomic Research Forum
 
Session 3 mahdi ben jelloul, microsimulation for policy evaluation
Session 3 mahdi ben jelloul, microsimulation for policy evaluationSession 3 mahdi ben jelloul, microsimulation for policy evaluation
Session 3 mahdi ben jelloul, microsimulation for policy evaluationEconomic Research Forum
 
Session 3 m.a. marouani, structual change, skills demand and job quality
Session 3 m.a. marouani, structual change, skills demand and job qualitySession 3 m.a. marouani, structual change, skills demand and job quality
Session 3 m.a. marouani, structual change, skills demand and job qualityEconomic Research Forum
 
Session 3 ishac diwn, bridging mirco and macro appraoches
Session 3 ishac diwn, bridging mirco and macro appraochesSession 3 ishac diwn, bridging mirco and macro appraoches
Session 3 ishac diwn, bridging mirco and macro appraochesEconomic Research Forum
 
Session 3 asif islam, jobs flagship report
Session 3 asif islam, jobs flagship reportSession 3 asif islam, jobs flagship report
Session 3 asif islam, jobs flagship reportEconomic Research Forum
 
Session 2 yemen hlel, insights from tunisia
Session 2 yemen hlel, insights from tunisiaSession 2 yemen hlel, insights from tunisia
Session 2 yemen hlel, insights from tunisiaEconomic Research Forum
 
Session 2 samia satti, insights from sudan
Session 2 samia satti, insights from sudanSession 2 samia satti, insights from sudan
Session 2 samia satti, insights from sudanEconomic Research Forum
 
Session 2 mona amer, insights from egypt
Session 2 mona amer, insights from egyptSession 2 mona amer, insights from egypt
Session 2 mona amer, insights from egyptEconomic Research Forum
 
Session 2 ali souag, insights from algeria
Session 2 ali souag, insights from algeriaSession 2 ali souag, insights from algeria
Session 2 ali souag, insights from algeriaEconomic Research Forum
 
Session 2 abdel rahmen el lahga, insights from tunisia
Session 2 abdel rahmen el lahga, insights from tunisiaSession 2 abdel rahmen el lahga, insights from tunisia
Session 2 abdel rahmen el lahga, insights from tunisiaEconomic Research Forum
 
Session 1 ragui assaad, moving beyond the unemployment rate
Session 1 ragui assaad, moving beyond the unemployment rateSession 1 ragui assaad, moving beyond the unemployment rate
Session 1 ragui assaad, moving beyond the unemployment rateEconomic Research Forum
 
Session 1 luca fedi, towards a research agenda
Session 1 luca fedi, towards a research agendaSession 1 luca fedi, towards a research agenda
Session 1 luca fedi, towards a research agendaEconomic Research Forum
 
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقة
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقةمن البيانات الى السياسات : مبادرة إتاحة البيانات المنسقة
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقةEconomic Research Forum
 
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...Economic Research Forum
 
Job- Creating Growth in the Emerging Global Economy
Job- Creating Growth in the Emerging Global EconomyJob- Creating Growth in the Emerging Global Economy
Job- Creating Growth in the Emerging Global EconomyEconomic Research Forum
 
The Role of Knowledge in the Process of Innovation in the New Global Economy:...
The Role of Knowledge in the Process of Innovation in the New Global Economy:...The Role of Knowledge in the Process of Innovation in the New Global Economy:...
The Role of Knowledge in the Process of Innovation in the New Global Economy:...Economic Research Forum
 
Rediscovering Industrial Policy for the 21st Century: Where to Start?
Rediscovering Industrial Policy for the 21st Century: Where to Start?Rediscovering Industrial Policy for the 21st Century: Where to Start?
Rediscovering Industrial Policy for the 21st Century: Where to Start?Economic Research Forum
 
How the Rise of the Intangibles Economy is Disrupting Work in Africa
How the Rise of the Intangibles Economy is Disrupting Work in AfricaHow the Rise of the Intangibles Economy is Disrupting Work in Africa
How the Rise of the Intangibles Economy is Disrupting Work in AfricaEconomic Research Forum
 
On Ideas and Economic Policy: A Survey of MENA Economists
On Ideas and Economic Policy: A Survey of MENA EconomistsOn Ideas and Economic Policy: A Survey of MENA Economists
On Ideas and Economic Policy: A Survey of MENA EconomistsEconomic Research Forum
 

More from Economic Research Forum (20)

Session 4 farhad mehran, single most data gaps
Session 4 farhad mehran, single most data gapsSession 4 farhad mehran, single most data gaps
Session 4 farhad mehran, single most data gaps
 
Session 3 mahdi ben jelloul, microsimulation for policy evaluation
Session 3 mahdi ben jelloul, microsimulation for policy evaluationSession 3 mahdi ben jelloul, microsimulation for policy evaluation
Session 3 mahdi ben jelloul, microsimulation for policy evaluation
 
Session 3 m.a. marouani, structual change, skills demand and job quality
Session 3 m.a. marouani, structual change, skills demand and job qualitySession 3 m.a. marouani, structual change, skills demand and job quality
Session 3 m.a. marouani, structual change, skills demand and job quality
 
Session 3 ishac diwn, bridging mirco and macro appraoches
Session 3 ishac diwn, bridging mirco and macro appraochesSession 3 ishac diwn, bridging mirco and macro appraoches
Session 3 ishac diwn, bridging mirco and macro appraoches
 
Session 3 asif islam, jobs flagship report
Session 3 asif islam, jobs flagship reportSession 3 asif islam, jobs flagship report
Session 3 asif islam, jobs flagship report
 
Session 2 yemen hlel, insights from tunisia
Session 2 yemen hlel, insights from tunisiaSession 2 yemen hlel, insights from tunisia
Session 2 yemen hlel, insights from tunisia
 
Session 2 samia satti, insights from sudan
Session 2 samia satti, insights from sudanSession 2 samia satti, insights from sudan
Session 2 samia satti, insights from sudan
 
Session 2 mona amer, insights from egypt
Session 2 mona amer, insights from egyptSession 2 mona amer, insights from egypt
Session 2 mona amer, insights from egypt
 
Session 2 ali souag, insights from algeria
Session 2 ali souag, insights from algeriaSession 2 ali souag, insights from algeria
Session 2 ali souag, insights from algeria
 
Session 2 abdel rahmen el lahga, insights from tunisia
Session 2 abdel rahmen el lahga, insights from tunisiaSession 2 abdel rahmen el lahga, insights from tunisia
Session 2 abdel rahmen el lahga, insights from tunisia
 
Session 1 ragui assaad, moving beyond the unemployment rate
Session 1 ragui assaad, moving beyond the unemployment rateSession 1 ragui assaad, moving beyond the unemployment rate
Session 1 ragui assaad, moving beyond the unemployment rate
 
Session 1 luca fedi, towards a research agenda
Session 1 luca fedi, towards a research agendaSession 1 luca fedi, towards a research agenda
Session 1 luca fedi, towards a research agenda
 
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقة
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقةمن البيانات الى السياسات : مبادرة إتاحة البيانات المنسقة
من البيانات الى السياسات : مبادرة إتاحة البيانات المنسقة
 
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...
The Future of Jobs is Facing the Biggest Policy Induced Price Distortion in H...
 
Job- Creating Growth in the Emerging Global Economy
Job- Creating Growth in the Emerging Global EconomyJob- Creating Growth in the Emerging Global Economy
Job- Creating Growth in the Emerging Global Economy
 
The Role of Knowledge in the Process of Innovation in the New Global Economy:...
The Role of Knowledge in the Process of Innovation in the New Global Economy:...The Role of Knowledge in the Process of Innovation in the New Global Economy:...
The Role of Knowledge in the Process of Innovation in the New Global Economy:...
 
Rediscovering Industrial Policy for the 21st Century: Where to Start?
Rediscovering Industrial Policy for the 21st Century: Where to Start?Rediscovering Industrial Policy for the 21st Century: Where to Start?
Rediscovering Industrial Policy for the 21st Century: Where to Start?
 
How the Rise of the Intangibles Economy is Disrupting Work in Africa
How the Rise of the Intangibles Economy is Disrupting Work in AfricaHow the Rise of the Intangibles Economy is Disrupting Work in Africa
How the Rise of the Intangibles Economy is Disrupting Work in Africa
 
On Ideas and Economic Policy: A Survey of MENA Economists
On Ideas and Economic Policy: A Survey of MENA EconomistsOn Ideas and Economic Policy: A Survey of MENA Economists
On Ideas and Economic Policy: A Survey of MENA Economists
 
Future Research Directions for ERF
Future Research Directions for ERFFuture Research Directions for ERF
Future Research Directions for ERF
 

Recently uploaded

VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...Suhani Kapoor
 
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...ranjana rawat
 
Zechariah Boodey Farmstead Collaborative presentation - Humble Beginnings
Zechariah Boodey Farmstead Collaborative presentation -  Humble BeginningsZechariah Boodey Farmstead Collaborative presentation -  Humble Beginnings
Zechariah Boodey Farmstead Collaborative presentation - Humble Beginningsinfo695895
 
Expressive clarity oral presentation.pptx
Expressive clarity oral presentation.pptxExpressive clarity oral presentation.pptx
Expressive clarity oral presentation.pptxtsionhagos36
 
The Economic and Organised Crime Office (EOCO) has been advised by the Office...
The Economic and Organised Crime Office (EOCO) has been advised by the Office...The Economic and Organised Crime Office (EOCO) has been advised by the Office...
The Economic and Organised Crime Office (EOCO) has been advised by the Office...nservice241
 
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jatin Das Park 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130 Available With Roomishabajaj13
 
PPT Item # 4 - 231 Encino Ave (Significance Only)
PPT Item # 4 - 231 Encino Ave (Significance Only)PPT Item # 4 - 231 Encino Ave (Significance Only)
PPT Item # 4 - 231 Encino Ave (Significance Only)ahcitycouncil
 
The U.S. Budget and Economic Outlook (Presentation)
The U.S. Budget and Economic Outlook (Presentation)The U.S. Budget and Economic Outlook (Presentation)
The U.S. Budget and Economic Outlook (Presentation)Congressional Budget Office
 
EDUROOT SME_ Performance upto March-2024.pptx
EDUROOT SME_ Performance upto March-2024.pptxEDUROOT SME_ Performance upto March-2024.pptx
EDUROOT SME_ Performance upto March-2024.pptxaaryamanorathofficia
 
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceCunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceHigh Profile Call Girls
 
Night 7k to 12k Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...
Night 7k to 12k  Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...Night 7k to 12k  Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...
Night 7k to 12k Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...aartirawatdelhi
 
Climate change and safety and health at work
Climate change and safety and health at workClimate change and safety and health at work
Climate change and safety and health at workChristina Parmionova
 
Top Rated Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...
Top Rated  Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...Top Rated  Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...
Top Rated Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...Call Girls in Nagpur High Profile
 
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Junnar ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
Junnar ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...Junnar ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...
Junnar ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...tanu pandey
 
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Bookingroncy bisnoi
 

Recently uploaded (20)

VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
VIP High Class Call Girls Amravati Anushka 8250192130 Independent Escort Serv...
 
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...
The Most Attractive Pune Call Girls Handewadi Road 8250192130 Will You Miss T...
 
Zechariah Boodey Farmstead Collaborative presentation - Humble Beginnings
Zechariah Boodey Farmstead Collaborative presentation -  Humble BeginningsZechariah Boodey Farmstead Collaborative presentation -  Humble Beginnings
Zechariah Boodey Farmstead Collaborative presentation - Humble Beginnings
 
Expressive clarity oral presentation.pptx
Expressive clarity oral presentation.pptxExpressive clarity oral presentation.pptx
Expressive clarity oral presentation.pptx
 
The Economic and Organised Crime Office (EOCO) has been advised by the Office...
The Economic and Organised Crime Office (EOCO) has been advised by the Office...The Economic and Organised Crime Office (EOCO) has been advised by the Office...
The Economic and Organised Crime Office (EOCO) has been advised by the Office...
 
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
(TARA) Call Girls Chakan ( 7001035870 ) HI-Fi Pune Escorts Service
 
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jatin Das Park 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jatin Das Park 👉 8250192130 Available With Room
 
PPT Item # 4 - 231 Encino Ave (Significance Only)
PPT Item # 4 - 231 Encino Ave (Significance Only)PPT Item # 4 - 231 Encino Ave (Significance Only)
PPT Item # 4 - 231 Encino Ave (Significance Only)
 
The U.S. Budget and Economic Outlook (Presentation)
The U.S. Budget and Economic Outlook (Presentation)The U.S. Budget and Economic Outlook (Presentation)
The U.S. Budget and Economic Outlook (Presentation)
 
EDUROOT SME_ Performance upto March-2024.pptx
EDUROOT SME_ Performance upto March-2024.pptxEDUROOT SME_ Performance upto March-2024.pptx
EDUROOT SME_ Performance upto March-2024.pptx
 
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile ServiceCunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
Cunningham Road Call Girls Bangalore WhatsApp 8250192130 High Profile Service
 
Night 7k to 12k Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...
Night 7k to 12k  Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...Night 7k to 12k  Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...
Night 7k to 12k Call Girls Service In Navi Mumbai 👉 BOOK NOW 9833363713 👈 ♀️...
 
Climate change and safety and health at work
Climate change and safety and health at workClimate change and safety and health at work
Climate change and safety and health at work
 
Top Rated Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...
Top Rated  Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...Top Rated  Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...
Top Rated Pune Call Girls Bhosari ⟟ 6297143586 ⟟ Call Me For Genuine Sex Ser...
 
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service
(PRIYA) Call Girls Rajgurunagar ( 7001035870 ) HI-Fi Pune Escorts Service
 
Call Girls In Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In  Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCeCall Girls In  Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
Call Girls In Rohini ꧁❤ 🔝 9953056974🔝❤꧂ Escort ServiCe
 
Junnar ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
Junnar ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...Junnar ( Call Girls ) Pune  6297143586  Hot Model With Sexy Bhabi Ready For S...
Junnar ( Call Girls ) Pune 6297143586 Hot Model With Sexy Bhabi Ready For S...
 
How to Save a Place: 12 Tips To Research & Know the Threat
How to Save a Place: 12 Tips To Research & Know the ThreatHow to Save a Place: 12 Tips To Research & Know the Threat
How to Save a Place: 12 Tips To Research & Know the Threat
 
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service
(SUHANI) Call Girls Pimple Saudagar ( 7001035870 ) HI-Fi Pune Escorts Service
 
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Nanded City Call Me 7737669865 Budget Friendly No Advance Booking
 

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
  • 2. Overview Motivation Data and methodology Empirical results Stylized facts Conclusion and recommendations
  • 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?
  • 7. Data ERF-OAMDI Harmonized Household Income and Expenditure Surveys 2010/2011 for Egypt,  Jordan,  Palestine,  Tunisia,  and Sudan 2009.
  • 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
  • 21. Thank you REHAM RIZK ASSISTANT PROFESSOR BRITISH UNIVERSITY IN EGYPT REHAM.RIZK@BUE.EDU.EG

Editor's Notes

  1. 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
  2. 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.
  3. 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.
  4. household’s number of children and other characteristics that might affect household education expenditure decision.
  5. 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.
  6. 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.
  7. 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.
  8. Egypt allocates around 50% of total expenditure on education for the secondary- aged childen
  9. 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