Typhoon Aid and Development: The Effects of
Typhoon-Resistant Schools and Instructional
Resources on Educational Attainment
in den Philippinen
AVA GAIL CAS
∗
This paper examines the effects on educational attainment of assistance programs
that provided typhoon-resistant secondary schools and instructional resources
in den Philippinen. Using the variation in the availability of assistance programs
and differences in exposure across age cohorts induced by the timing of the
allocation of program packages, I find positive and statistically significant
impacts on education outcomes for both boys and girls. For boys, the presence of
typhoon-resistant schools equipped with instructional resources led to an average
increase of 0.26–0.31 years of education, while the presence of instructional
resources alone led to an average increase of 0.23–0.26 years of education.
For girls, the availability of both components led to an average increase of
0.23–0.32 years of education, while the availability of either component alone
did not seem to have an effect.
Schlüsselwörter: aid, instructional resources, school building, schooling, typhoons
JEL-Codes: I25, O15
ICH. Einführung
The question of whether access to schools and instructional resources
enhances human capital outcomes is of interest to economists. A number of
economists have examined the effects of an expansion in the number of schools and
classrooms on educational attainment, wages, Fruchtbarkeit, and child health (Breierova
and Duflo 2004, Chou et al. 2010, Duflo 2001, Osili and Long 2008). Im
Vereinigte Staaten (US), economists have looked at the effect of a comprehensive school
construction program on test scores, Einschreibung, and housing prices (Neilson and
Zimmerman 2014). In der Zwischenzeit, a growing number of studies have investigated
∗Ava Gail Cas: Assistant Professor of Economics, School of Business and Economics, The Catholic University of
Amerika. Email: cas@cua.edu. This is a revised version of the third chapter of my doctoral dissertation (Cas 2012).
I would like to thank the managing editor and two anonymous referees for helpful comments and suggestions. Ich bin
also grateful to Amar Hamoudi, Elizabeth Frankenberg, Alessandro Tarozzi, and Duncan Thomas; and to seminar
participants at the Catholic University of America. I am greatly indebted to the staff of the Department of Education of
the Philippines and the Philippine Atmospheric, Geophysical and Astronomical Services Administration (PAGASA)
for providing me the data used for this study.
Asiatischer Entwicklungsbericht, Bd. 33, NEIN. 1, S. 183–201
C(cid:3) 2016 Asiatische Entwicklungsbank
und Institut der Asiatischen Entwicklungsbank
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184 ASIAN DEVELOPMENT REVIEW
the impact on student learning of technology-related instructional resources. Für
Beispiel, Angrist and Lavy (2002) and Barrow, Markman, and Rouse (2009)
investigate whether providing computers for pedagogical use in the classroom
improves reading, Mathematik, and algebra test scores in Israel and the US, while
Beuermann et al. (2015) examine the impact of the One Laptop per Child program
on children’s cognitive test scores in Peru.
Jedoch, given the scarcity of resources in many developing economies, sogar
access to basic instructional resources to assist student learning in the subjects of
math and science is limited. In terms of school infrastructure, often the issue is not
access to schools, but rather access to good quality schools (that are, Zum Beispiel,
typhoon resistant), particularly in economies that are prone to natural disasters.
Earlier research suggests that the destruction of school infrastructure can lead to a
loss of human capital, especially with regard to permanent and unrepaired damages
(Baez and Santos 2009).
In diesem Papier, I evaluate the long-term impact of a bilateral program
that constructed typhoon-resistant secondary schools and provided instructional
materials for major high school subjects (z.B., biology, Chemie, home economics,
Mathematik, Physik, and technology) in typhoon-affected parts of the Philippines.
The importance of typhoon-resistant schools cannot be understated in disaster-prone
economies such as the Philippines. Lying astride the “typhoon belt” in the Pacific
Ocean, the Philippines is the most typhoon-affected country in the world with an
Durchschnitt von 20 typhoons each year, of which an average of six are classified as extreme
or destructive with maximum sustained winds of at least 150 kilometers per hour.1
Municipalities that sustain direct hits from typhoons tend to sustain severe damage
to their infrastructure. The loss of school infrastructure can disrupt schooling for
an extended period of time, especially if buildings and facilities are permanently
damaged or left unrepaired. In cases where regular classes are disrupted for several
weeks during the reconstruction period, a loss of human capital is inevitable. Wann
instruction time is lost, the quality of learning may also decline. Some students
may find it difficult to catch up and eventually drop out of school. Gleichzeitig
Zeit, the loss of instructional resources may also affect the quality of student
learning.
I examine the impacts on educational attainment of typhoon-resistant school
construction and instructional materials assistance program in the Philippines
10 years after their initial implementation. The results of my analysis suggest
that for boys, the presence of typhoon-resistant secondary schools equipped with
instructional resources led to an average increase of 0.26–0.30 years of education,
while the presence of instructional resources alone led to an average increase of
1This is based on data from PAGASA. Tropical cyclones in the western Pacific Ocean are called typhoons,
while tropical cyclones in the Atlantic Ocean and eastern Pacific Ocean are called hurricanes. Typhoons are generally
very strong, because of the western Pacific’s warm water, and occur more frequently than hurricanes.
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 185
0.23–0.26 years of education. For girls, the availability of both components led to
an average increase of 0.23–0.32 years of education, while the availability of either
component alone did not seem to have an effect. Estimates are robust for the inclusion
of individual-level characteristics and when accounting for concurrent national
government programs, restricting to municipalities in the Philippines typhoon-
affected regions, and accounting for municipality-specific trends.
The paper contributes to the literature in a number of ways. Erste, to the
best of my knowledge, it is the first study to assess the effects of disaster-resistant
secondary schools and instructional resources for math and science at the population
Ebene. The paper qualifies the separate effects of typhoon-resistant schools and
instructional resources in addition to examining the cumulative impacts when both
components are present. Zweite, it adds to the growing literature that independently
evaluates the longer-term impacts of grant assistance and loan programs using
microlevel data, given that development assistance efforts are generally evaluated at
the project level during implementation by the same aid agencies and institutions that
are providing funding. One exception is the evaluation of a World Bank-financed
rural development program 10 years after its implementation by Chen, Mu, Und
Ravallion (2009), who found only small and statistically insignificant gains on
mean consumption in the long-term. Dritte, this paper evaluates an innovative policy
solution for mitigating the risks of natural disasters. As global warming proceeds,
many economies will continue to experience extreme weather conditions that can
affect human capital accumulation. The destruction of secondary schools due to
natural disasters is of particular importance since children at this age are more
likely than affected primary school children to transition from schooling to work
and family formation, especially if they have also lost one or both parents due to
natural disaster (Cas et al. 2014). Daher, it is important to continually develop and
evaluate innovative solutions to protect secondary school children from disruptions
to their education.
Der Rest der Arbeit ist wie folgt gegliedert. Section II provides background
on the secondary education reform program, which was launched in 1988 mit
Japanese grant assistance and comprised a typhoon-resistant school building
program and an instructional materials distribution program. Section III presents
the data and results for the determinants of program placement. Section IV provides
an identification strategy. Section V presents the results and section VI concludes and
discusses policy implications.
II. Secondary Education Reform and the Typhoon-Resistant School Building
and Instructional Equipment Programs
In 1988, the Philippines implemented a free public secondary education policy
to complement its historically free and compulsory public elementary education
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186 ASIAN DEVELOPMENT REVIEW
policy.2 Under the new policy, tuition and matriculation fees, laboratory and library
fees, medical and dental fees, and athletic fees were all waived for secondary
Ausbildung. Daher, the policy led to a rapid increase in secondary school enrollment
and a shortfall in classrooms and school buildings. Part of the reason for the
shortage of classrooms was that school infrastructure in some provinces had been
severely damaged by two super-typhoons in 1987. Given these capacity constraints,
Department of Education officials prioritized the enrollment in secondary schools of
graduates of public elementary schools in the same municipality, as well as returning
students in the second, dritte, and fourth years of secondary school.3
In that same year, the government explored the possibility of tapping Japanese
bilateral grant assistance to supplement its initiatives to address the shortage
of classrooms and other school facilities. This resulted in the launching of a
school building project in 1989—the Typhoon-Resistant School Building Program
(TRSBP)—that used Japanese technology for constructing typhoon-resistant,
prefabricated structures. The idea behind TRSBP was to not just build more schools
to increase classroom capacity, but to build better infrastructure so that schooling
would not be interrupted by damage caused by the typhoons that regularly affect the
Philippinen. TRSBP was an unusual assistance program as the Government of Japan
provided an in-kind grant for its implementation. Daher, Japanese firms constructed
all of the school infrastructure using prefabricated materials that were transported
to the Philippines from Japan. A total of 252 public secondary schools, einschließlich
902 classrooms and 153 science rooms and workshops, were constructed under
TRSBP, mainly in those regions most affected by typhoons.4 On average, jede
school construction project represented an investment worth P7.4 million–P11.1
million.5
The major consideration for the selection of provinces participating in TRSBP
was that a province must have been heavily affected by past typhoons, insbesondere
one of the two super-typhoons in 1987. The guidelines used for selecting the recipient
municipalities and schools were as follows: (ich) the school should have sufficient space
to build on; (ii) the school should be located in or near large population centers;
(iii) the municipality should not be a recipient or prospective recipient of financial
aid for disaster relief or disaster mitigation from any other foreign aid agency, or from
the Philippine government’s existing school-building program or calamity fund; Und
(iv) the school should not have received more than P300,000 from the government
2The Philippines has a long history of free and compulsory elementary education that dates back to 1898
when a new constitution was established after the expulsion of the Spanish regime from the Philippines.
3The Philippines has a 6–4–4 education system, with six years of elementary education, 4 years of secondary
Ausbildung, Und 4 years of tertiary education.
4The program also constructed schools at the elementary level, although the secondary level was prioritized.
Gesamt, insgesamt 360 elementary and secondary schools were constructed, einschließlich 1,289 classrooms and 219
science rooms.
5In 1990, one US dollar was equivalent to P47.08. Daher, the average investment per school under TRSBP was
equivalent to about $157,000–$236,000. About 5.4% of the total project cost was appropriated to consultancy fees.
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 187
in addition to its regular budget. The design criteria for building the schools include
an emphasis on typhoon resistance, flood resistance, flexibility for multiple uses,
adaptation to tropical climate conditions, meeting the requirements of handicapped
students, ease of maintenance, and a systematized construction process in order to
complete each project in 1 year and with uniform quality. TRSBP also considered the
availability of water, power, and sewerage to ensure properly functioning classrooms,
laboratories, and sanitation facilities within the schools. If basic facilities such as
power and electrical lines, and water and sewerage systems were insufficient, neu
basic facilities could be installed in some cases.
In addition to TRSBP, the Philippine government also requested from the
Japanese government grant assistance for the provision of instructional materials
und Ausrüstung, which became known as the Secondary Education Instructional
Equipment Program (SEIEP).6 With the goal of increasing access to quality
education and developing students’ curiosity in natural science and technology,
the Department of Education aimed to address the shortage of experimental and
training equipment to improve the teaching of science and technology, sowie
home economics. One of the basic criteria used in the SEIEP selection process
was that a recipient school should also be enrolled in TRSBP, although not all
TRSBP recipient schools would benefit from SEIEP. Außerdem, SEIEP would
end up providing instructional equipment to some non-TRSBP recipient schools.7
The other criteria used in the SEIEP selection process were as follows: (ich) the school
should not receive any facilities or equipment assistance from any other local or
foreign sources, Und (ii) the school should have an enrollment of more than 200
students.
daher, the bilateral grant assistance from the Government of Japan led
to three types of program packages for recipient schools, each of which will be
evaluated in this paper: (ich) TRSBP only, (ii) SEIEP only, Und (iii) TRSBP and
SEIEP.
A.
Concurrent Programs
Besides tapping Japanese grant assistance, the Philippine government also
obtained loans from the Asian Development Bank (ADB) and assistance from
the United States Agency for International Development (USAID) to construct
etwa 2,145 classrooms at 675 schools in other parts of the country. Diese
schools also received instructional equipment packages to meet the Philippine
government’s goal of raising the quality of education and developing student interest
6To ensure the proper use and maintenance of the equipment, A 3- to 5-day teacher training was conducted at
each recipient school by a project team comprising representatives from the Philippine and Japanese governments.
7Similar to TRSBP, the program considered the availability of electrical and water utilities. In cases where
these basic facilities were insufficient, the Government of the Philippines could provide the necessary electrical
system and water supply assistance packages.
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188 ASIAN DEVELOPMENT REVIEW
in the natural sciences and technology. Jedoch, unlike the TRSBP schools, diese
schools were constructed using materials that were similar to that used by the
government under its regular school-building program. The rest of the municipalities
that did not receive assistance under either TRSBP or ADB- or USAID-funded
programs were covered under the government’s regular school-building program.8
A separate program, the National Secondary Education Curriculum, War
implemented beginning in 1993 and was phased in across various municipalities. Als
part of the government’s secondary education reform policy, it may have potentially
been correlated in some municipalities with the allocation of typhoon-resistant
schools and/or instructional equipment packages. Bedauerlicherweise, I do not have
data on the recipient municipalities of National Secondary Education Curriculum
assistance. Daher, to estimate the impact of the Japanese grant assistance programs,
I will restrict my analysis to program packages allocated before 1992.
At around the same time, the government launched a water supply, sanitation,
and sewerage master plan for the period 1988–2000. The goal of this plan was
to provide basic water supply facilities (z.B., wells) In 37 of the Philippines’ 83
provinces and sanitation facilities (z.B., household latrines, public toilets, sullage
removal units, disinfections) In 75 provinces. The specifications of this paper will
also account for the presence of assistance programs under the water supply,
sanitation, and basic water supply facilities master plan since they operated
concurrently with TRSBP and SEIEP.
III. Data and Determinants of Typhoon-Resistant School Building Program
Recipient Municipalities
The main data source for this paper is the 10% Integrated Public Use
Microdata Series (IPUMS) of the Philippines decennial censuses. Der 2000 IPUMS
is the main data used in regression estimates, während die 1990 IPUMS is used to
construct variables predicting the determinants of program availability. Data on the
recipients of TRSBP and SEIEP assistance were obtained from project completion
reports made available by the Educational Development Projects Implementing Task
Force of the Philippines’ Department of Education. These reports provide a complete
list of schools receiving assistance under the two programs and their corresponding
allocations by municipality. The Manual on Secondary Education Development,
published by the Department of Education, also provides a list of recipient schools
and municipalities under ADB- and USAID-funded school-building projects. Data
on the water and sanitation programs are at the provincial level and were obtained
8Since these schools could potentially be damaged or destroyed by a typhoon, part of the funding under the
regular school-building program was used to repair school buildings and classrooms that had been severely damaged
by typhoons.
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 189
Tisch 1. Summary Statistics at the Municipality Level
Type of Assistance
P-values
Variables
% impacted by super-typhoon
In 1987
Nonenrollment rate in 1989
(13–16-year olds)
Average years of education
(25–40-year olds)
Average % of individuals who
work in agriculture sector
% with electricity
% with piped water
% land owners
% own dwelling
% with television
% with radio
% with toilet
% roof made of metal
% walls made of wood
Beobachtungen
TRSBP SEIEP
(1)
0.52
(0.50)
0.40
(0.10)
7.97
(1.26)
0.26
(0.13)
0.55
(0.26)
0.33
(0.24)
0.55
(0.17)
0.88
(0.08)
0.31
(0.25)
0.69
(0.11)
0.57
(0.22)
0.56
(0.27)
0.62
(0.20)
60
(2)
0.77
(0.43)
0.46
(0.11)
7.16
(1.13)
0.34
(0.12)
0.30
(0.20)
0.38
(0.21)
0.48
(0.13)
0.88
(0.05)
0.09
(0.11)
0.59
(0.11)
0.42
(0.19)
0.25
(0.11)
0.76
(0.11)
46
Beide
(3)
0.68
(0.47)
0.44
(0.09)
7.45
(0.88)
0.33
(0.10)
0.40
(0.13)
0.35
(0.19)
0.47
(0.12)
0.89
(0.05)
0.12
(0.09)
0.62
(0.07)
0.51
(0.17)
0.26
(0.09)
0.73
(0.10)
50
None
(4)
0.19
(0.39)
0.40
(0.11)
7.62
(1.55)
0.29
(0.15)
0.46
(0.27)
0.29
(0.22)
0.54
(0.16)
0.88
(0.09)
0.25
(0.23)
0.68
(0.10)
0.51
(0.25)
0.48
(0.26)
0.68
(0.22)
916
Diff.
(1)–(4)
0.00
Diff.
(2)–(4)
0.00
Diff.
(3)–(4)
0.00
0.80
0.09
0.19
0.02
0.27
0.61
0.99
0.09
0.68
0.07
0.02
0.02
0.00
0.05
0.00
0.00
0.00
0.00
0.49
0.00
0.00
0.15
0.00
0.01
0.01
0.44
0.05
0.13
0.10
0.00
0.41
0.00
0.00
0.85
0.00
0.15
Notes: Variable mean displayed to the right of variable name. Standard deviations displayed in parentheses below the
mean.
Sources: Minnesota Population Center. 2015. 1990 Integrated Public Use Microdata Series, International: Version
6.4. Minneapolis: University of Minnesota; Government of the Philippines, Department of Education. 1995. Project
Completion Report: Typhoon-Resistant School Building Program. Manila; Government of the Philippines, Department
of Education. 1995. Project Completion Report: Secondary Education Instructional Equipment Program. Manila.
from project completion reports under the Rural Water and Sanitation Services
Program funded by ADB and the World Bank. I also obtained data on typhoons
and tropical storms affecting the Philippines in 1980–2000 from the Philippine
Atmospheric, Geophysical and Astronomical Services Administration (PAGASA).
The data include areas affected as well as the corresponding strength of each typhoon
and tropical storm affecting the Philippines during this period.
Wie erwartet, the municipalities that received assistance under TRSBP, SEIEP,
or both programs were heavily impacted by one or both of the super-typhoons in 1987
(Tisch 1). Of the municipalities that received TRSBP assistance, 52% were typhoon
affected; of those that received SEIEP assistance, 77% were typhoon affected; Und
of those that received assistance under both programs, 68% were typhoon affected.
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190 ASIAN DEVELOPMENT REVIEW
This is consistent with the primary requirement of the Japanese grant assistance
program which was to channel aid to the most typhoon-affected areas.
Allgemein, the municipalities that received SEIEP assistance packages
tended to have the highest nonenrollment rates among 13–16-year olds, the lowest
percentage of educated adults among 25–40-year olds, and the highest share of the
population engaged in agriculture. They also tended to be the poorest municipalities
based on various indicators such as percentages with electricity, Fernsehen, radio,
toilet, roof made of metal, or walls made of wood. This pattern was also observed
among municipalities that received both SEIEP and TRSBP assistance packages,
with these municipalities ranking second to SEIEP-only municipalities in terms of
nonenrollment rates, education level of adults, share of the population engaged in
agriculture, and socioeconomic status. In der Zwischenzeit, the municipalities that received
only TRSBP assistance had the lowest nonenrollment rates among 13–16-year
olds, which were similar to municipalities receiving no assistance; highest share
of educated adults; lowest share of the population engaged in agriculture; und das
highest socioeconomic status.
IV. Identification Strategy
To investigate the impact of these unique grant assistance programs on
Ausbildung, I use a difference-in-difference framework comparing the evolution of
schooling outcomes by age cohorts. Konkret, the two age cohorts comprise
students that were fully exposed to these program packages in 1989 (9–12-year
olds) versus those that had little or no exposure to the program in 1989 (17–20-year
olds) in municipalities with and without access to the three types of program
packages: (ich) TRSBP only, (ii) SEIEP only, Und (iii) both programs.9
This suggests estimating an equation of the following general form:
Yimpt = α1TRSBPm T + α2SEIEPm T + α3Bothm T + α4 Ximpt + α4 Zm T
+ δm + γt + (cid:5)imt
(1)
where Yimpt is the years of schooling of person i residing in municipality m in 1990
and age t in 1989; TRSBPm is a dummy variable indicating whether the municipality
received TRSBP assistance only and 0 ansonsten; SEIEPm is a dummy variable
indicating whether the municipality received SEIEP assistance only and 0 ansonsten;
Bothm is a dummy variable indicating whether the municipality received both
packages and 0 ansonsten; T is a dummy variable indicating whether the individual
was 9–12 years old or 17–20 years old in 1989; Ximt refers to individual-level
characteristics such as religion and ethnicity; Zm is the vector of variables such as
9In 2000, educational attainment was assessed for 20–23-year olds and 28–31-year olds.
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 191
the availability of ADB and USAID school assistance packages and water supplies
and sanitation facilities; δm refers to the 1990 municipality of residence fixed effect;
and γ t refers to the age-cohort dummies. In this specification, the parameters of
interest are α1, α2, and α3, which correspond to the interaction between the age-
group dummy T and each of the three possible program packages being reviewed.
This paper also provides separate analysis for boys and girls.
In den Philippinen, children typically enter secondary school at age 13 Und
finish by age 16. Based on administrative data from the Department of Education,
less than 5% of the population of 17–24-year olds were enrolled in secondary school
during the 1988/89 school year. Somit, the effects of the aid programs should be
relatively close to 0 for these individuals. Andererseits, children who were
12 years old or younger in 1988/89 would soon be entering secondary school and
therefore had the potential to be fully exposed to the programs.
Could it be that a student’s advanced learning abilities or determined parents
led in some cases to a student being enrolled in a secondary school other than one
in his or her own municipality? Could the families of some students have simply
migrated to those municipalities that were receiving aid? As mentioned in section
II, the government mandates that secondary schools prioritize the enrollment of
graduates of public elementary schools in the same municipality as well as returning
students in the second, dritte, and fourth years of the same secondary school. Daher,
it would have been difficult at that time for a student to be enrolled in a secondary
school in another municipality, particularly for the first few years of the program,
which are the subject of analysis of this paper.
To deal with the migration issue, I use the municipality of residence of the
individual in 1990, which is available in the 2000 IPUMS. To further examine the
migration patterns of individuals in the sample prior to 1990 (aged 9–12 years and
17–20 years in 1989), I use the 1990 IPUMS question asking for the number of
years a person has resided in their current municipality. Allgemein, less than 3%
of individuals in the sample had been living in a municipality for less than 1 Jahr
In 1990, which may have represented people who migrated to another municipality
In 1989 when the program started, while less than 5% had been living in their
municipality for less than 3 years in 1990, which may have represented people who
migrated to another municipality in the aftermath of the super-typhoons in 1987.
These statistics suggest that migration is not likely to have driven the results.
V. Results and Discussion
A. Main Results
Tisch 2 presents the average educational attainment in years by program
package, age group, and gender. Following the pattern observed in Table 1, regardless
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192 ASIAN DEVELOPMENT REVIEW
Tisch 2. Average Educational Attainment in Years by Program and Age Cohort
Boys
Age in 1989 TRSBP
9–12 years
17–20 years
Difference
Obs.
9.38
[0.03]
9.06
[0.03]
0.32
[0.04]
22,188
SEIEP
8.62
[0.04]
7.97
[0.05]
0.65
[0.07]
11,597
Beide
8.7
[0.04]
7.99
[0.04]
0.71
[0.06]
14,333
Difference
None TRSBP–None SEIEP–None Both–None
9.24
[0.01]
8.91
[0.01]
0.33
[0.01]
333,167
−0.61
[0.04]
−0.93
[0.05]
0.32∗∗∗
[0.07]
−0.53
[0.04]
−0.91
[0.05]
0.38∗∗∗
[0.06]
0.14
[0.03]
0.15
[0.04]
−0.01
[0.05]
Difference
Girls
Age in 1989 TRSBP
Difference
9–12 years
17–20 years
10.15
[0.03]
9.45
[0.03]
0.70
[0.04]
20,971
Beide
9.69
[0.04]
8.66
[0.04]
1.03
[0.06]
12,877
SEIEP
9.34
[0.04]
8.61
[0.05]
0.73
[0.07]
10,508
None TRSBP–None SEIEP–None Both–None
9.96
[0.01]
9.29
[0.01]
0.67
[0.01]
Obs.
316,920
SEIEP = Secondary Education Instructional Equipment Program, TRSBP = Typhoon-Resistant School Building
Programm.
Notes: The sample includes individuals aged 9–12 years and 17–20 years in 1989. Standard errors in brackets.
∗∗∗ = 10% level of statistical significance, ∗∗ = 5% level of statistical significance, ∗ = 1% level of statistical
significance.
Quelle: Minnesota Population Center. 2015. 2000 Integrated Public Use Microdata Series, International: Version
6.4. Minneapolis: University of Minnesota.
−0.26
[0.04]
−0.63
[0.05]
0.36∗∗∗
[0.060]
−0.61
[0.04]
−0.68
[0.05]
0.06
[0.07]
0.19
[0.03]
0.16
[0.04]
0.03
[0.05]
of the age cohort in 1989 (9–12 years or 17–20 years), boys and girls from
municipalities that received only the SEIEP assistance package had the lowest
average level of educational attainment. This was followed in ascending order by
those from municipalities that received both assistance packages, neither assistance
package, and the TRSBP package only. The results may reflect differences in
economic status of the municipalities. Andererseits, im Laufe der Zeit, the average
educational attainment seems to have increased more in municipalities that received
either the SEIEP package only or both packages when compared to municipalities
that received either the TRSBP package or none at all. Examining the differences
among age cohorts for each of the municipalities that received assistance from
TRSBP only, SEIEP only, or both programs relative to those receiving no
assistance provides the simple difference-in-differences estimates. For boys living
in municipalities that received either instructional resources only (SEIEP) oder beides
typhoon-resistant schools and instructional resources (Beide), educational attainment
increased by 0.32 years and 0.38 Jahre, jeweils. For girls living in municipalities
that received both packages (Beide), educational attainment increased by 0.36 Jahre.
The availability of either program alone did not have an impact on the educational
attainment of girls.
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 193
Tisch 3. Impacts of TRSBP and SEIEP on Educational Attainment
TRSBP × Age (9–12 years) In 1989
SEIEP × Age (9–12 years) In 1989
Both × Age (9–12 years) In 1989
Water and sanitation × Age (9–12 years) In 1989
ADB–USAID × Age (9–12 years) In 1989
Individual-level characteristics
Age dummies and municipality fixed effect
Constant
TRSBP × Age (9–12 years) In 1989
SEIEP × Age (9–12 years) In 1989
Both × Age (9–12 years) In 1989
Water and sanitation × Age (9–12 years) In 1989
ADB–USAID × Age (9–12 years) In 1989
Individual-level characteristics
Age dummies and municipality fixed effect
Constant
(1)
−0.02
[0.044]
0.23∗∗∗
[0.060]
0.29∗∗∗
[0.054]
Males
(2)
−0.02
[0.044]
0.26∗∗∗
[0.060]
0.31∗∗∗
[0.054]
NEIN
Ja
9.06∗∗∗
[0.017]
(1)
0.01
[0.044]
0.03
[0.061]
0.30∗∗∗
[0.056]
Ja
Ja
8.45∗∗∗
[0.048]
Females
(2)
0.01
[0.044]
0.03
[0.061]
0.32∗∗∗
[0.056]
NEIN
Ja
9.20∗∗∗
[0.016]
Ja
Ja
7.52∗∗∗
[0.033]
(3)
−0.03
[0.044]
0.25∗∗∗
[0.060]
0.26∗∗∗
[0.055]
0.05∗∗
[0.021]
−0.17∗∗∗
[0.023]
Ja
Ja
8.45∗∗∗
[0.048]
(3)
−0.02
[0.044]
0
[0.062]
0.23∗∗∗
[0.056]
0.14∗∗∗
[0.021]
−0.20∗∗∗
[0.022]
Ja
Ja
7.52∗∗∗
[0.033]
ADB = Asian Development Bank, SEIEP = Secondary Education Instructional Equipment Program,
TRSBP = Typhoon-Resistant School Building Program, USAID = United States Agency for
International Development.
Notes: Standard errors (in brackets) account for clustering in the municipality of residence in 1990. Der
base sample consists of children aged either 9–12 years or 17–20 years in 1989. These children were
assessed again in 2000 when aged 20–23 years or 28–31 years. Each column estimates the interaction
of TRSBP availability and the age dummy (9–12 years), the interaction of SEIEP availability and the
age dummy (9–12 years), and the interaction of the indicator of both programs’ availability and the
age dummy (9–12 years). All specifications include single age dummies and the 1990 municipality
of residence fixed effect. Individual-level characteristics include religion and ethnicity indicators. Der
sample includes individuals aged 9–12 years and 17–20 years in 1989. ∗∗∗ = 10% level of statistical
significance, ∗∗ = 5% level of statistical significance, ∗ = 1% level of statistical significance.
Quelle: Minnesota Population Center. 2015. 2000 Integrated Public Use Microdata Series,
International: Version 6.4. Minneapolis: University of Minnesota.
Tisch 3 formally reports the estimates of
the effects of access to
typhoon-resistant schools, instructional equipment, or both components on the
years of schooling of boys and girls (columns 1–3). Column (1) shows the most
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194 ASIAN DEVELOPMENT REVIEW
parsimonious specification, including only age-cohort fixed effects and municipality
fixed effects. Among boys, the availability of the instructional equipment program
package in a municipality led to an average increase of 0.23 years of schooling,
while the availability of both typhoon-resistant schools and instructional resources
led to an average increase of 0.29 years of schooling. Among girls, the availability
of both packages increased their educational attainment by an average of 0.30 Jahre.
Relative to the average educational attainment of boys and girls in the Philippines,
which are relatively high compared with other Asian economies, these effects are
equivalent to about a 3% increase in years of education for both boys and girls.
Column (2) suggests that these estimates are also generally robust to the
inclusion of individual-level characteristics such as ethnicity and religion, as the
estimates only slightly increased for both boys and girls. Column (3) accounts for
the presence of other programs being implemented concurrently that also could
have potentially impacted educational attainment. For boys, accounting for these
concurrent programs led to an average increase of about 0.25 years and 0.26 Jahre
of education for those exposed to SEIEP only and to both programs, jeweils.
For girls, the availability of both programs leads to an average increase of 0.23 Jahre
of education, while the availability of either program alone does not seem to have
had an effect.
Taken jointly, these results suggest that the presence of typhoon-resistant
secondary schools alone is not enough to increase one’s educational attainment. Der
availability of secure and adequate school facilities needs to be accompanied by
appropriate instructional resources in order to significantly increase the educational
attainment of both boys and girls. Although recent papers have focused on examining
the effects of technology-related instructional resources (Angrist and Lavy 2002;
Barrow, Markman, and Rouse 2009; and Beuermann et al. 2015), in general, Die
results of this study corroborate the importance of equipping classrooms with
instructional resources to improve student outcomes. While there have been a limited
number of studies that examine the importance of nontechnological instructional
resources, Chingos and Whitehurst (2012) note that such instructional materials
have a direct influence on both teacher effectiveness and student learning.
Jetzt, what might explain the difference in patterns observed for boys and
girls? The pattern of results for boys reflects the importance of instructional resources
(or the quality of instruction), regardless of the presence of typhoon-resistant school
Infrastruktur, in keeping teenage boys in secondary schools. Andererseits,
the pattern observed for girls suggests the importance of school infrastructure,
in addition to the instructional resources, in keeping teenage girls in secondary
Schulen. The latter finding is consistent with studies that suggest the importance
of the availability of an adequate water supply, sanitation facilities, and hygienic
conditions on girls’ education outcomes (Birdthistle et al. 2011, Burton 2013, Gius
and Subramanian 2015, and Adams et al. 2009). Secondary school-aged girls and
boys may be affected in different ways by inadequate schooling infrastructure,
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 195
Tisch 4. Robustness Checks
TRSBP × Age (9–12 years) In 1989
SEIEP × Age (9–12 years) In 1989
Both × Age (9–12 years) In 1989
With controls
Constant
Restrict to Localities
in Typhoon Belt
Mit
Municipality-Specific
Linear Trend
Male (1)
Female (2) Male (3)
0
[0.04]
0.29∗∗∗
[0.06]
0.30∗∗∗
[0.05]
Ja
4.88∗∗∗
[0.30]
0.01
[0.04]
0.04
[0.06]
0.28∗∗∗
[0.05]
Ja
5.02∗∗∗
[0.30]
−0.05
[0.04]
0.23∗∗∗
[0.06]
0.24∗∗∗
[0.05]
Ja
3.61∗∗∗
[0.26]
Female (4)
−0.05
[0.04]
−0.03
[0.06]
0.20∗∗∗
[0.06]
Ja
3.44∗∗∗
[0.27]
ADB = Asian Development Bank, SEIEP = Secondary Education Instructional Equipment Program,
TRSBP = Typhoon-Resistant School Building Program, USAID = United States Agency for International
Development.
Notiz: Standard errors (in brackets) account for clustering in the municipality of residence in 1990. Der
dependent variable (Ausbildung) is measured in years. Each column estimates the interaction of TRSBP
availability and the age dummy (9–12 years), the interaction of SEIEP availability and the age dummy
(9–12 years), and the interaction of the indicator of both programs’ availability and the age dummy
(9–12 years). All specifications include single age dummies, 1990 municipality of residence, religion,
and ethnicity indicators, water and sanitation availability × Age (9–12 years), ADB–USAID × Age
(9–12 years), and enrollment rate × Age. ∗∗∗ = 10% level of statistical significance, ∗∗ = 5% level of
statistical significance, ∗ = 1% level of statistical significance.
Quelle: Minnesota Population Center. 2015. 2000 Integrated Public Use Microdata Series, International:
Version 6.4. Minneapolis: University of Minnesota.
particularly by an inadequate water supply or a lack of toilets or sanitation facilities.
According to Adams et al. (2009), girls are disproportionately more affected than
boys by the lack of physical infrastructure. This may be because parents are less likely
to send their daughters to school when there is a lack of adequate, private, and secure
sanitation facilities. Außerdem, the lack of appropriate facilities for menstrual
hygiene can lead teenage girls to miss school during their menstruation period
and possibly to drop out altogether. Daher, while instructional resources are crucial
for teenage girls’ learning and motivation, having secure and adequate physical
infrastructure is also essential in keeping them in school.
B.
Robustness and Specification Checks
Tisch 4 includes robustness checks for the results obtained in Table 3. Der Erste
two columns restrict the analysis to regions within the Philippines’ typhoon belt. Von
restricting the analysis to these regions, municipalities have more or less a similar
probability of being affected by a destructive typhoon and are more homogeneous in
terms of socioeconomic status. As shown in columns (1) Und (2), this leads to slightly
higher coefficients. For boys, the availability of SEIEP leads to an average increase of
0.29 years of education, while the availability of both programs leads to an average
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196 ASIAN DEVELOPMENT REVIEW
increase of 0.30 years of education. For girls, the availability of both programs
leads to an average increase of 0.28 years of education. Columns (3) Und (4) add a
municipality-specific linear time trend to capture evolving, unobserved municipality
characteristics that may have changed the level of schooling independent of the
Programme. Allgemein, adding this only slightly decreases the coefficients while the
patterns remain the same.
In Table 5, as a falsification test, I run the same specifications used in Table 3
with a sample of all postsecondary school-aged individuals (17–24-year olds) WHO
would have had little or no exposure to the program packages. This table serves as a
specification check as it aims to examine whether there are any preexisting trends in
schooling outcomes in the same municipalities that later received the Japanese grant
assistance. If educational attainment increased faster in municipalities that would
later receive these program packages, even among young adults who would not have
been exposed to these programs, then the estimates may be capturing the effects of
other municipality trends that are correlated with the programs.
Allgemein, for both boys and girls, the coefficients under TRSBP only and
under both program packages are relatively small and not significant. Auf dem anderen
Hand, the coefficients under SEIEP are relatively large and are particularly significant
for girls. It may be that the estimate for SEIEP × Age (17–20 years) could be
capturing some preexisting trends correlated with the allocation of the instructional
resources program. Jedoch, since the effect of SEIEP for girls is small and not
statistically significant when using the original sample, but becomes sizable and
statistically significant when using the sample for the falsification test, it could be that
there is also a timing issue. Das ist, teenage girls in relatively poorer municipalities
may be more likely to fall behind in their schooling relative to peers in more affluent
municipalities. It is also possible that these girls may have entered school at a later
Alter.
To further examine the differing impacts on young boys and girls, Tisch 6
shows the interaction between the availability of each program package with age
dummies ranging from 9–18 years. Those aged 19–20 years in 1989 are included in
the control group. Allgemein, the interactions of the availability of typhoon-resistant
Schulen (TRSBP) with age dummies yield relatively small and insignificant
coefficients, although some coefficients are larger than the others. These results
are consistent with the patterns observed in Tables 3–5. The coefficients of the
interaction of having both programs (Beide) with each of the age dummies are
also consistent with the results found earlier. For both boys and girls, coefficients
are relatively large and statistically significant (ranging from 0.16 Zu 0.42) until
about age 13–14 and then they fluctuate around 0 afterward. The interactions of the
availability of instructional resources (SEIEP) with each of the age dummies also
provide a clearer picture of the patterns observed earlier. For boys, coefficients are
relatively large and statistically significant until about age 12 and then they become
smaller and are not statistically significant. For girls, the coefficients are relatively
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 197
Tisch 5. Impact of TRSBP and SEIEP on Educational Attainment: Falsification
Test Sample
TRSBP × Age (17–20 years) In 1989
SEIEP × Age (17–20 years) In 1989
Both × Age (17–20 years) In 1989
Water and sanitation × Age (17–20 years) In 1989
ADB–USAID × Age (17–20 years) In 1989
Individual-level characteristics
Constant
TRSBP × Age (17–20 years) In 1989
SEIEP × Age (17–20 years) In 1989
Both × Age (17–20 years) In 1989
Water and sanitation × Age (17–20 years) In 1989
ADB–USAID × Age (17–20 years) In 1989
Individual-level characteristics
Constant
(1)
−0.03
[0.05]
0.11∗
[0.07]
−0.03
[0.06]
NEIN
8.66∗∗∗
[0.02]
(1)
0.01
[0.05]
0.18∗∗∗
[0.07]
−0.03
[0.06]
Males
(2)
−0.03
[0.05]
0.1
[0.07]
−0.03
[0.06]
Ja
7.17∗∗∗
[0.04]
Females
(2)
0
[0.05]
0.19∗∗∗
[0.07]
−0.03
[0.06]
NEIN
8.93∗∗∗
[0.02]
Ja
7.15∗∗∗
[0.04]
(3)
−0.04
[0.05]
0.09
[0.07]
−0.05
[0.06]
0.04∗
[0.02]
−0.03
[0.02]
Ja
7.18∗∗∗
[0.04]
(3)
−0.01
[0.05]
0.18∗∗∗
[0.07]
−0.05
[0.06]
0.06∗∗
[0.02]
−0.04
[0.02]
Ja
7.15∗∗∗
[0.04]
ADB = Asian Development Bank, SEIEP = Secondary Education Instructional Equipment Program,
TRSBP = Typhoon-Resistant School Building Program, USAID = United States Agency for International
Development.
Notes: Standard errors (in brackets) account for clustering in the municipality of residence in 1990. The base
sample consists of children aged either 17–20 years or 21–24 years in 1989. These children were assessed
again in 2000 when aged 28–31 years or 22–35 years. The dependent variable (Ausbildung) is measured in
Jahre. Each column estimates the interaction of TRSBP availability and the age dummy (17–20 years), Die
interaction of SEIEP availability and the age dummy (17–20 years), and the interaction of the indicator of
both programs’ availability and the age dummy (17–20 years). All specifications include single age dummy
und das 1990 municipality of residence dummy. ∗∗∗ = 10% level of statistical significance, ∗∗ = 5% Ebene
of statistical significance, ∗ = 1% level of statistical significance.
Quelle: Minnesota Population Center. 2015. 2000 Integrated Public Use Microdata Series, International:
Version 6.4. Minneapolis: University of Minnesota.
small and not significant except for some large and statistically significant effects at
Alter 14 Und 17.
The large coefficient (0.34) for the interaction between the availability of
instructional equipment (SEIEP) and age 17 may suggest three things. Erste, es ist
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198 ASIAN DEVELOPMENT REVIEW
Tisch 6. Coefficients of the Interaction of Each Program Package with Age in 1989
[0.08]
TRSBP_11
[0.08]
0.01
[0.08]
Male
TRSBP_9 −0.02
[0.07]
Female
0.03
[0.07]
TRSBP_10 −0.11 −0.03
[0.07]
0.08
[0.08]
TRSBP_12 −0.01 −0.05
[0.08]
TRSBP_13 −0.09 −0.09
[0.08]
0.02
[0.08]
0.09
[0.08]
0.01
[0.08]
0.01
[0.08]
0.09
[0.08]
[0.08]
TRSBP_14 −0.12
[0.08]
TRSBP_15 −0.02
[0.08]
TRSBP_16 −0.01
[0.08]
0.01
[0.08]
TRSBP_18 −0.01
[0.08]
TRSBP_17
SEIEP_9
BOTH_9
SEIEP_13
SEIEP_10
SEIEP_11
SEIEP_12
BOTH_10
BOTH_11
BOTH_12
Female
Male
0.26∗∗∗
0.15
[0.10]
[0.10]
0.27∗∗∗
0.03
[0.10]
[0.10]
0.30∗∗∗ −0.07
[0.11]
[0.10]
0.27∗∗
0.00
[0.11]
[0.11]
0.01
0.10
[0.11]
[0.10]
0.26∗∗
SEIEP_14 −0.03
[0.11]
[0.11]
0.02
0.03
[0.11]
[0.11]
0.03
SEIEP_16 −0.03
[0.11]
[0.11]
0.34∗∗∗ BOTH_17
0.00
[0.11]
[0.11]
−0.17
0.11
[0.11]
[0.11]
Male
0.22∗∗
[0.09]
0.35∗∗∗
[0.09]
0.19∗∗
[0.09]
0.18∗
[0.10]
0.27∗∗∗
[0.10]
0.18∗
[0.10]
BOTH_15 −0.03
[0.10]
0.18∗
[0.10]
0.04
[0.10]
BOTH_18 −0.17∗
[0.10]
7.30∗∗∗
[0.03]
BOTH_14
BOTH_16
BOTH_13
SEIEP_15
SEIEP_17
SEIEP_18
Constant
Female
0.42∗∗∗
[0.09]
0.28∗∗∗
[0.09]
0.28∗∗∗
[0.10]
0.16∗
[0.10]
0.21∗∗
[0.10]
0.00
[0.10]
0.07
[0.10]
0.00
[0.10]
0.13
[0.10]
0.08
[0.10]
7.47∗∗∗
[0.03]
SEIEP = Secondary Education Instructional Equipment Program, TRSBP = Typhoon-Resistant School Building
Programm.
Notes: The sample includes individuals aged 9–20 years. Standard errors (in brackets) account for clustering in the
municipality of residence in 1990. The dependent variable (Ausbildung) is measured in years. Each column estimates
the interaction of TRSBP availability with each of the age dummies 9–18 years (age 19–20 as base group), Die
interaction of SEIEP availability with each of the age dummies 9–18 years (age 19–20 as base group), und das
interaction of the indicator of both programs’ availability with each of the age dummies 9–18 years (age 19–20 as
base group). All specifications include single age dummies and 1990 municipality of residence. ∗∗∗ = 10% level of
statistical significance, ∗∗ = 5% level of statistical significance, ∗ = 1% level of statistical significance.
Quelle: Minnesota Population Center. 2015. 2000 Integrated Public Use Microdata Series, International: Version
6.4. Minneapolis: University of Minnesota.
possible that even children of this age in 1989 may be benefiting from the program
because in poorer municipalities, these children might still be in secondary school
due to a delayed entrance into school. Zweite, school officials in these municipalities
may have also prioritized the enrollment of these students considered to be at the
margin of eligibility. Bedauerlicherweise, I have insufficient data to support either of
these possible explanations. But to the extent that some of the girls in the control
cohorts (aged 17–20 years in 1989) have benefited from SEIEP, then the results
shown earlier may be an underestimation of the true effects of the program. A
third possible explanation is that there could be other municipality trends that are
correlated with the SEIEP program but not captured by the specification. Jedoch,
such trends do not really correspond to the null results observed in the interaction
of SEIEP with younger age dummies (aged 9–12 years in 1989) as shown in Table
3. To the extent that girls in the control cohorts (aged 17–20 years in 1989) have
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 199
benefited from other programs that might be correlated with the allocation of SEIEP
assistance packages, then this could also lead to the underestimation of the true
effects of the program.
VI. Conclusion and Policy Implications
This study evaluates the effects on educational attainment of typhoon-resistant
schools and instructional equipment at the municipal level in the Philippines.
For boys, the presence of typhoon-resistant schools equipped with instructional
equipment led to an average increase of about 0.26–0.31 years of education,
while the presence of instructional resources alone led to an average increase of
0.23–0.26 years of education. For girls, the availability of both components led to
an average increase of 0.23–0.32 years of education, while the availability of either
component alone does not seem to have had an effect. The estimates are generally
robust when including individual-level characteristics, accounting for other central
government programs being implemented concurrently, restricting to municipalities
in the Philippines’ typhoon belt, and accounting for municipality-specific trends.
The findings suggest
the importance of not only expanding access to
secondary schooling through increased availability of schools and classrooms, Aber
also of improving the quality of learning through the availability of school resources
that aid in secondary school students’ learning in developing economies. Für
disaster-prone countries such as the Philippines, innovative solutions such as
typhoon-resistant schools may not suffice. It may also be necessary to equip
these schools with the needed instructional materials for critical subjects such as
mathematics and science to reduce the likelihood of dropping out among secondary
Schulkinder. This suggests that for governments to increase human capital, Sie
need to pay equal, if not more, attention to increasing the quality of educational
tools as is paid to improving the quantity and quality of educational infrastructure.
Außerdem, the findings of this study suggest there is a need to account for
the fact that teenage boys and girls may be affected differently by the challenges of
inadequate physical infrastructure and instructional resources. In order to improve
the educational attainment of boys, the findings point to the importance of improving
access to quality instructional resources. Andererseits, in order to improve the
educational attainment of girls, the results indicate the need to invest not only in basic
instructional materials for teaching high school subjects, but also in secure, disaster-
resistant physical infrastructure with adequate access to water, power, sanitation, Und
sewerage facilities.
This study has focused on investigating the impact of typhoon-resistant
schools and instructional resources on educational attainment. It remains an open
question whether the observed increases in educational attainment had a broader
impact on other measures of human capital development and labor market outcomes.
Investigating these effects will be the subject of future study.
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200 ASIAN DEVELOPMENT REVIEW
Verweise
Adams, J., J. Bartram, Y. Chartier, and J. Sims. 2009. Water, Sanitation and Hygiene Standards
for Schools in Low-Cost Settings. Genf: World Health Organization.
Angrist, J., and V. Lavy. 2002. New Evidence on Classroom Computers and Pupil Learning. Der
Economic Journal 112 (482): 735–65.
Baez, J., and I. Santos. 2009. Do Natural Disasters Affect Human Capital? An Assessment Based
on Existing Empirical Evidence. IZA Discussion Paper No. 5164. Bonn: Institute for the
Study of Labor.
Barrow, L., L. Markman, and C. E. Rouse. 2009. Technology’s Edge: The Educational Benefits
of Computer-Aided Instruction. The American Economic Journal: Economic Policy 1 (1):
52–74.
Beuermann, D. W., J. Cristia, S. Cueto, Ö. Malamud, and Y. Cruz-Aguayo. 2015. One Laptop
per Child at Home: Short-Term Impacts from a Randomized Experiment in Peru. amerikanisch
Economic Journal: Applied Economics 7 (2): 53–80.
Birdthistle, ICH., K. Dickson, M. Freeman, and L. Javidi. 2011. What Impact Does the Provision
of Separate Toilets for Girls at Schools Have on Their Primary and Secondary School
Enrollment, Attendance and Completion? A Systematic Review of Evidence. London:
EPPI-Centre.
Breierova, L., and E. Duflo. 2004. The Impact of Education on Fertility and Child Mortality:
Do Fathers Really Matter Less Than Mothers? NBER Working Paper 10513. Cambridge:
National Bureau of Economic Research.
Burton, S. 2013. Toilets Unblocked: A Literature Review of School Toilets. Edinburgh: Scotland’s
Commissioner for Children and Young People.
Cas, A. 2012. Essays in Health, Education and Development (PhD Dissertation). Durham: Sanford
School of Public Policy, Duke University.
Cas, A., E. Frankenberg, W. Suriastini, and D. Thomas. 2014. The Impact of Parental Death on
Child Well-Being: Evidence from the Indian Ocean Tsunami. Demographie 51 (2): 437–57.
Chen, S., R. Mu, and M. Ravallion. 2009. Are There Lasting Impacts of Aid to the Poor Areas?
Journal of Public Economics 93 (3): 512–28.
Chingos, M. M., and G. J. Whitehurst. 2012. Choosing Blindly: Instructional Materials, Teacher
Effectiveness and the Common Core. Washington, Gleichstrom: Brookings Institution.
Chou, S., J. Liu, M. Grossman, and T. Joyce. 2010. Parental Education and Child Health. amerikanisch
Economic Journal: Applied Economics 2 (1): 33–61.
Duflo, E. 2001. Schooling and Labor Market Consequences of School Construction in Indonesia:
Evidence from an Unusual Policy Experiment. The American Economic Review 91 (4):
795–813.
Government of the Philippines, Department of Education. 1995. Manual on Secondary Education
Development Program. Manila.
——. 1995. Project Completion Report: Typhoon-Resistant School Building Program. Manila.
——. 1995. Project Completion Report: Secondary Education Instructional Equipment Program.
Manila.
Gius, M., and R. Subramanisch. 2015. The Relationship between Inadequate Sanitation Facilities
and the Economic Well-Being of Women in India. Journal of Economics and Development
Studien 3 (1): 11–21.
Minnesota Population Center. 2015. 1990 Integrated Public Use Microdata Series, International:
Version 6.4. Minneapolis: University of Minnesota.
l
D
Ö
w
N
Ö
A
D
e
D
F
R
Ö
M
H
T
T
P
:
/
/
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C
T
.
M
ich
T
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A
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5
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5
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2
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TYPHOON AID AND DEVELOPMENT IN THE PHILIPPINES 201
——. 2015. 2000 Integrated Public Use Microdata Series, International: Version 6.4. Minneapolis:
University of Minnesota.
Neilson, C., and S. Zimmerman. 2014. The Effect of School Construction on Test Scores, School
Enrollment and Home Prices. Journal of Public Economics 120 (4): 18–31.
Osili, U. O., and B. T. Long. 2008. Does Female Schooling Reduce Fertility? Evidence from
Nigeria. Journal of Development Economics 87 (1): 57–75.
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