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20<br />

middle income countries suggests that the vast majority<br />

collect information on household education expenditure.<br />

However, it is rarely used: either policy-makers are<br />

unaware of its existence <strong>and</strong> importance or their<br />

capacity to analyse it <strong>and</strong> draw relevant conclusions is<br />

often limited.<br />

Household surveys could be improved. It is possible for<br />

information to be recorded for individual children <strong>and</strong><br />

easily linked to their education level <strong>and</strong>, in some cases,<br />

the grade, school (with an EMIS number) or sector (i.e.<br />

public or private). However, two-thirds of the countries<br />

only collected aggregate information for educationrelated<br />

expenditure incurred by the household. While<br />

there are statistical methods to use this information<br />

to estimate education expenditure per child <strong>and</strong> level<br />

of education (Tiyab <strong>and</strong> Ndabananiye, 2013), it would<br />

be preferable if household expenditure surveys were<br />

designed to collect information separately for each child.<br />

At least 99 of the 142 countries included questions<br />

in a national expenditure survey between 2008 <strong>and</strong><br />

2014 on items related to education; deeper analysis<br />

was possible for data from 82 countries. Of these 82<br />

countries’ questionnaires, all but 15 included questions<br />

on individual expenditure items. While the most common<br />

question concerned school fees, 59 countries collected<br />

information on textbooks, 49 countries on stationery<br />

<strong>and</strong> 33 countries on private tuition. At least 29 countries<br />

make survey data publicly available to the broader<br />

research community.<br />

In coming years, coordinated national action is needed<br />

on two fronts. First, education ministries need to work<br />

with national statistical agencies to build capacity,<br />

analyse existing data <strong>and</strong> use them as part of an effort<br />

to develop <strong>and</strong> improve NEAs. Second, survey questions<br />

must be formulated in a way that would make them<br />

more relevant for education policy. The establishment<br />

of the Task Force on St<strong>and</strong>ards for Education Spending<br />

Estimates based on Household Survey Data under the<br />

auspices of the UN Statistical Commission’s Inter-<br />

Secretariat Working Group on Household Surveys is a<br />

step in that direction.<br />

ENDNOTES<br />

1. The Democratic Republic of the Congo, Georgia, Indonesia, Jamaica,<br />

Morocco, the Netherl<strong>and</strong>s, Peru, Pol<strong>and</strong>, Samoa <strong>and</strong> Sri Lanka.<br />

b. Share of education in total humanitarian aid<br />

c. Share of humanitarian aid requests funded<br />

5<br />

[value]<br />

100<br />

4<br />

Target<br />

80<br />

3<br />

Food<br />

3<br />

60<br />

%<br />

2<br />

2<br />

1<br />

1<br />

1<br />

0<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008<br />

2009<br />

2010<br />

2011<br />

2012<br />

2013<br />

2014<br />

2015<br />

%<br />

Total<br />

40<br />

20<br />

Education<br />

0<br />

2000<br />

2001<br />

2002<br />

2003<br />

2004<br />

2005<br />

2006<br />

2007<br />

2008<br />

2009<br />

2010<br />

2011<br />

2012<br />

2013<br />

2014<br />

2015<br />

2016 • GLOBAL EDUCATION MONITORING REPORT 357

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