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Online AppendixThe Right to Education Act:
Trends in Enrollment, Test Scores, and School Quality
By Manisha Shah and Bryce Steinberg
1
2 PAPERS AND PROCEEDINGS MONTH YEAR
-.05
0.0
5.1
Atte
nds
Scho
ol, A
ges
6 to
16
(Rur
al)
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
135
140
145
150
Num
ber E
nrol
led
(in m
illion
s), G
rade
s 1
to 8
(Rur
al)
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (DISE data)
Figure 1. RTE and Rural Enrollment
Note: This Figure replicates Figure 1 using NSS and DISE data using only the rural sample.
Source: NSS Rounds 62, 64, 66 and 68 (2005-2012), DISE 2005-2014
VOL. VOLUME NO. ISSUE RIGHT TO EDUCATION 3
-.12
-.08
-.04
0.0
4.0
8.1
2At
tend
s Sc
hool
by
Age
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
Ages 6 to 12 Ages 13 to 16-.1
2-.0
8-.0
40
.04
.08
.12
Cur
rent
ly E
nrol
led
by A
ge
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Ages 6 to 12 Ages 13 to 16
4060
8010
012
014
0N
umbe
r Enr
olle
d (in
milli
ons)
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (DISE data)
Primary Upper Primary
Figure 2. RTE and Enrollment by Age: A Snapshot from 3 datasets
Note: This Figure shows βt from an OLS regression of Equation 1 with their respective 95% confidence intervals ontwo measures of enrollment by age group (NSS and ASER) and raw enrollment numbers by primary/upper primaryenrollment (DISE). “Attends school” is equal to one if the child lists attending school as his or her primary activity,and zero if he or she lists another primary activity. “Currently Enrolled” is equal to one if the child reports beingenrolled in school, and zero if he reports having dropped out or never enrolled. “Number enrolled” is the averageof the total number of students enrolled. NSS and ASER regressions contain district, age, and sex fixed effects andare clustered at the district level. 2008 is omitted base year. 95% confidence intervals are shown for ASER and NSSregressions.Source: ASER 2005-2014, NSS Rounds 62, 64, 66 and 68 (2005-2012), DISE 2005-2014
4 PAPERS AND PROCEEDINGS MONTH YEAR
-.1-.0
8-.0
6-.0
4-.0
20
.02
.04
.06
.08
.1C
urre
ntly
Enr
olle
d by
Typ
e
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Government Private
4060
8010
012
014
0N
umbe
r Enr
olle
d by
Typ
e (in
milli
ons)
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (DISE data)
Government Private
Figure 3. Private vs. Government School Enrollment
Note: This Figure shows βt from an OLS regression of Equation 1 on government vs. private school enrollment(ASER) and raw government vs. private school enrollment numbers (DISE). The ASER regression contains district,age, and sex fixed effects and are clustered at the district level. 2008 is omitted base year. 95% confidence intervalsare shown for the ASER regression coefficients.Source: ASER 2005-2014, DISE 2005-2014
VOL. VOLUME NO. ISSUE RIGHT TO EDUCATION 5
-.15
-.1-.0
50
.05
.1.1
51s
t qua
rtile
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
−.1
5−
.1−
.05
0.0
5.1
.15
1st quart
ile
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
-.15
-.1-.0
50
.05
.1.1
52n
d qu
artil
e
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
-.15
-.1-.0
50
.05
.1.1
52n
d qu
artil
e
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
-.15
-.1-.0
50
.05
.1.1
53r
d qu
artil
e
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
-.15
-.1-.0
50
.05
.1.1
53r
d qu
artil
e
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
−.1
5−
.1−
.05
0.0
5.1
.15
4th
quart
ile
2005 2006 2007 2008 2009 2010 2011 2012Year (NSS data)
−.1
5−
.1−
.05
0.0
5.1
.15
4th
quart
ile
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Figure 4. Enrollment by 2008 Enrollment Quartiles
Note: This Figure shows βt from an OLS regression of Equation 1 on two measures of enrollment (NSS and ASER)by enrollment quartile in 2008. The regressions contain district, age, and sex fixed effects and are clustered at thedistrict level. 2008 is omitted base year. 95% confidence intervals are shown for the regression coefficients.Source: ASER 2005-2014, NSS Rounds 62, 64, 66 and 68 (2005-2012)
6 PAPERS AND PROCEEDINGS MONTH YEAR
-.4-.3
-.2-.1
0.1
.2.3
.4M
ath
Scor
es, A
ll, A
ges
6 to
16
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
-.4-.3
-.2-.1
0.1
.2.3
.4R
eadi
ng S
core
s, A
ll, A
ges
6 to
16
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Figure 5. RTE and Test Scores for All Children
Note: This Figure replicates Figure 2 using all children including those who are currently enrolled, dropped out andnever enrolled.Source: ASER 2005-2014
-.4-.3
-.2-.1
0.1
.2.3
.4M
ath
Scor
es b
y Sc
hool
Typ
e
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Government Private
-.4-.3
-.2-.1
0.1
.2.3
.4R
eadi
ng S
core
s by
Sch
ool T
ype
2005 2006 2007 2008 2009 2010 2011 2012 2013 2014Year (ASER data)
Government Private
Figure 6. RTE and Test Scores, by School Type
Note: This Figure shows βt from an OLS regression of Equation 1 on test scores for students in public (government)and private schools. Students in other types of schools (such as madrasas) are omitted. The regressions containdistrict, age, and sex fixed effects and are clustered at the district level. 2008 is omitted base year. 95% confidenceintervals are shown for the regression coefficients.Source: ASER 2005-2014
VOL. VOLUME NO. ISSUE RIGHT TO EDUCATION 7
-.1-.0
50
.05
.1Te
ache
r Abs
ence
Rat
e
2007 2009 2010 2011 2012 2013 2014Year (ASER School data)
Figure 7. RTE and Teacher Absenteeism
Note: This Figure shows βt from an OLS regression of Equation 1 on teacher absenteeism from the ASER schoolsurveys. 95% confidence intervals, clustered at the district level, are shown as bars. The survey was not conductedin 2006 or 2008. 2007 is omitted base year as there is no ASER 2008 school data. Regression contains district fixedeffects.Source: ASER School Data 2007, 2009-2014
8 PAPERS AND PROCEEDINGS MONTH YEAR
Table 1—Enrollment and Test Scores Pre- and Post-RTE
Panel A: Enrollment All Children 6-16
Dep. Var : Attends School Enrolled Ln(Enrollment)Source: NSS ASER DISE
Post-2008 .0645∗∗∗ .0145∗∗∗ .0914∗∗∗
(.0021) (.0013) (.0193)
Observations 437,854 5,117,613 340
Mean DV .877 .932 14.1
Panel B: Enrollment by Gender
Dep. Var : Attends School Enrolled Ln(Fem. Enrollment)
Source: NSS ASER DISE
Post-2008 .0547∗∗∗ .0105∗∗∗ .0965∗∗∗
(.0022) (.0012) (.0190)
Post-2008 X Girl .0209∗∗∗ .0087∗∗∗
(.0023) (.0008)
Observations 437,854 5,117,613 340Mean DV .877 .932 13.4
Panel C: Test Scores
Dep. Var : Math Score Read ScoreSource: ASER ASER
Post-2008 -.217∗∗∗ -.070∗∗∗
(.010) (.009)
Observations 4,669,247 4,690,067
Mean DV 2.60 2.77Note: This table shows coefficients from an OLS regression of schooling outcomes on a dummy for post-2008. PanelA shows measures of enrollment or school attendance from three seperate data sources. “Attends school” is equalto one if the child lists attending school as his or her primary activity, and zero if he or she lists another primaryactivity. “Enrolled” is equal to one if the child reports being enrolled in school, and zero if he reports having droppedout or never enrolled. “Log Enrollment” is the natural logarithm of the total state enrollment of children in primaryand upper primary school. Columns 1 and 2 contain district, age, and sex fixed effects, and are limited to childrenaged 6-16. Column 3 contains state fixed effects. Panel B shows enrollment by gender. Columns 1 and 3 are identicalto Panel A, but add an interaction of post-2008 with female. Column 3 reports the log of total female enrollmentby state. The dependent variables in Panel C are test scores, where math and read score range from 0-4. The Rightto Education Act was passed in 2009, though not fully implemented until 2010. Standard errors, clustered at thedistrict level for all regressions except Panel A column C and Panel B column C, clustered at the state level, areshown in parentheses. ∗ 10% significance ∗∗ 5% significance ∗∗∗ 1% significance.Source: ASER 2005-2014, NSS Rounds 62, 64, 66 and 68 (2005-2012), DISE 2005-2014