Dropping out of school: North South Divide in West Bengal out of school: North South Divide in West...
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Dropping out of school: North South Divide in West Bengal
Pranab Kumar Das Centre for Studies in Social Sciences, Calcutta
Bibhas Saha Durham University Business School
Motivation Indias achievement in education has been
mixed
Adult literacy improvement: about 1% a year (74% in 2011)
Child literacy: Significant improvement in level (95% in 2007) as well as gender imbalance
Primary school completion rate is also high (85.7% in 2006)
(Census, UNICEF from GoI, some education survey data)
High school drop-outs Drop out is a persistent problem School attendance rate at the secondary stage:
2005-06 data Boys -- 58.5% (drop from 85.2% in the primary
stage) Girls 48% (drop from 84% in the primary stage)
West Bengal Overall literacy 75.9% in 2008 Primary school attendance High and
comparable to national average (drop-out rate below 10%)
2008 data: only 15.3% of males and 10.1% of females have
education of 11 or more years. The percentage of males having less than 5
years of schooling is 42.4% and the same for females is 47.5%
(UNICEF, Jalan & Pratichi)
Economic literature Poor quality of education (poor infrastructure,
fewer schools, teacher absenteeism): Chaudhury et al (2006) , Pratichi (2009),
Jalan (2010), Maitra, Pal and Sharma (2013)
Low returns to secondary education (earnings function study):Saha and Sarkar (1999) Duraisamy (2002)
Child labour Child labour: Drop out of school to work for the familyBasu and Van (1998), Gupta (2000), Ranjan (2001),
Bhalotra and Heady (2003), Basu et al (2009), Jafarey and Lahiri (2002), Pal and Saha (2013)
Basu and Van (1998): Luxury axiom Child labour or school drop out should decline with familys income/wealth (such as land)
Bhalotra and Heady (2003): Counter evidence to luxury axiom (Pakistan and Ghana) Land rich families have greater child labour
Basu et al (2009): Inverted U hypothesis Luxury axiom kicks in at a higher level of landholding
Our objective To see
if the drop-out rate demonstrate inverted U relation with landholding
if industrially developed districts of the state encourage or discourage greater (secondary or higher secondary level) schooling
if households adults education level improves childrens school continuation
Data Primary household level survey conducted in 2005 by
Centre for Studies in Social Sciences, Calcutta About 26, 000 households in rural West Bengal (of
34,000+ surveyed)
Information on : Household characteristics (land, occupation, caste,
education etc.) how many children of the age group 5 to 18 have
stopped going to school Village level information Some school level information
Descriptive statisticsMean household size 6.68Mean per capita agricultural land (acres)
Among all householdsAmong households with dropout
0.120.08
Percentage of households with at least 1 dropout 23.80Percentage of households with no agricultural land
44.32
Percentage of households which are agricultural labourers
24.85
Percentage of household below poverty line (BPL) 24.16Average Adults education in the household (years)
5.62
Among landless householdsPercentage of boys dropped out Percentage of girls dropped out
5645
District-wise dropout rate
District Dropout rate(%)Percentage of boys
not in schoolPercentage of girls
not in schoolShare of boys in total
dropoutsBankura 09 08 09 54Bardhaman 21 21 22 53Birbhum 19 16 20 47Coochbehar 13 13 13 54D Dinajpur 15 15 14 62Darjeeling 09 06 08 54Hooghly 13 14 14 52Howrah 15 18 14 60Jalpaiguri 11 11 11 54Malda 17 18 16 56Murshidabad 14 16 13 59North 24 Pgs 16 18 13 61Nadia 09 10 08 59W Midnapore 15 16 13 61E Midnapore 12 11 13 50Purulia 10 08 12 44South 24 Pgs 17 18 16 57U Dinajpur 23 22 25 50State average 15 16 14 56
Summary Statistics at District LevelDistrictCol. 1
pcland (all) Col. 2
pcland (with dropout)Col. 3
Non-agri/ Total empCol. 4
NVA to Invested KCol. 5
Invested K to EmpCol. 6
Pupil-Teacher Sec. & HS SchoolCol. 7
Bankura 0.199 0.144 0.339 0.217 4.662 48Burdawan 0.199 0.121 0.553 0.242 9.443 49Birbhum 0.192 0.121 0.399 0.362 2.226 53Cooch behar 0.148 0.132 0.330 0.167 1.390 71Darjeeling 0.183 0.100 0.743 0.161 3.011 41Dakshin Dinajpur 0.015 0.012 0.328 0.173 1.226 55Hoogly 0.121 0.133 0.607 0.346 3.157 48Howrah 0.032 0.016 0.846 0.288 3.405 50Jalpaiguri 0.082 0.073 0.616 0.066 2.771 64Maldah 0.109 0.065 0.484 0.366 3.732 55Murshidabad 0.111 0.064 0.533 0.307 2.235 68Nadia 0.102 0.064 0.569 0.190 6.193 65Nort 24 Pgs 0.082 0.064 0.763 0.432 2.544 50W. Medinipur 0.177 0.148 0.349 0.351 6.121 50E. Medinipur 0.223 0.105 0.469 0.112 166.854 57Purulia 0.235 0.150 0.327 0.248 10.140 47South 24 Pgs 0.070 0.053 0.578 0.442 4.298 63U. Dinajpur 0.069 0.066 0.308 0.226 2.266 61
Econometric Model: GLM with logit (probit) link logit & probit model
Regressorspcland pcland_sqr district FE
pcland interaction with district FE
average highest family edn
BPL Caste(Gen) Religion(Hindu) ext_money vec mdm
Logit model (Dependent variable Drop out rate)
Variables Coefficient Standard Error
District dummy (Bankura base)
Bardhaman 0.93*** 0.11
Birbhum 0.73*** 0.11
Coochbihar 0.24* 0.13
Darjeeling -1.16*** 0.43
D Dinajpur 0.34** 0.14
Hooghly 0.52*** 0.11
Howrah 0.50*** 0.11
Jalpaiguri -0.05 0.12
Malda 0.32*** 0.12
Murshidabad 0.26*** 0.11
Nadia -0.02 0.12
Logit model (Contd.)Variables Coefficient Standard Error
North 24 Pargana 0.48*** 0.10
W Midnapore 0.55*** 0.11
E Midnapore 0.50*** 0.11
Pururlia 0.18 0.15
South 24 Pargana 0.57*** 0.10
U Dinajpur 0.44*** 0.12
Per capita land -0.49*** 0.10
Per capita land squared 0.02*** 0.004
Adult members education -0.11*** 0.005
Hindu -0.35*** 0.04
Village education council -0.06*** 0.03
Mid-day meal at school -0.31*** 0.03
Differential effects of land We run the same model with interaction of per
capita land and district dummy variables
Only 9 districts exhibit sensitivity of landholding on dropout
Strongest effects are observed in D Dinajpur, Howrah, Murshidabad, Nadia
Logit model (Dependent variable Drop out rate):
Variables Coefficient Standard Error
Interaction of District dummy and per capita land
Bakunra -0.88 0.61
Bardhaman -0.93** 0.41
Birbhum -0.58 0.38
Coochbihar 0.24 0.41
Darjeeling -0.97 0.71
D Danijpur -7.59* 4.59
Hooghly 0.17 0.25
Howrah -2.35* 1.25
Jalpaiguri 0.46** 0.20
Malda -0.68** 0.28
Murshidabad -1.91*** 0.43
Logit model (Contd.)Variables Coefficient Standard Error
Nadia -1.62*** 0.53
North 24 Pargana -0.49* 0.29
W Medinipore -0.049 0.28
E Medinipore -0.705*** 0.28
Pururlia -1.21 0.84
South 24 Pargana -0.41 0.41
U Dinajpur -0.06 0.48
Marginal effect of land interaction with districtDistrict dy/dx SE Z P(z>|1|)
Bankura -0.0761 0.055 1.4 0.16Burdwan -0.1526 0.068 -2.24 0.025Birbhum -0.0878 0.058 -1.51 0.13Cooch behar 0.0243 0.042 0.58 0.56Darjeeling -0.0294 0.025 -1.2 0.23D. Dinajpur -0.4533 0.089 -5.9 0Hoogly 0.0214 0.032 0.66 0.51Howrah -0.2567 0.112 -2.28 0.02Jalpaiguri -0.0374 0.017 -2.19 0.03Maldah -0.0744 0.031 -2.41 0.02Murshidabad -0.1887 0.041 -4.6 0Nadia -0.1285 0.040 -3.19 0.001North 24 Pgs -0.0606 0.035 -1.72 0.09W Medinipur -0.0063 0.034 -0.17 0.86E. Medinipur -0.0877 0.036 -2.45 0.01Purulia -0.1239 0.090 -1.38 0.17South 24 Pgs -0.0545 0.054 -1.00 0.32U. Dinajpur -0.0083 0.059 -0.14 0.89
Note: 1=Bank, 2=Burdwan, 3=Birbhum, 4=C_Bihar, 5=Darj, 6=D. Dinaj, 7=Hooghly, 8=HWH, 9=Jalp, 10=MLD, 11=Murshi, 12=Nadia, 13=N 24 Pgs, 14=W. Med, 15=E. Med, 16=Puru, 17=S. 24 Pgs, 18=U. Dnj
-.6-.4
-.20
.2E
ffect
s on
Pre
dict
ed M
ean
Rat
e_D
rop_
Tot
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18District
Conditional Marginal Effects of pcland_new with 95% CIs
Summary of results Support for the luxury axiom (with respect to land). Though the relationship is of a U-curve, the turning
point is 12 acres per capita, which is too high, and therefore, the relationship between land and dropout is primarily a negative one.
Wide variation of the effects of land across districts.
50% of the districts do not show any effect of landholding on dropout.
The evidence of luxury axiom is not robust across the districts
Summary of results North-South divide: Southern districts generally
have stronger (positive) effects on dropout, Bankura and Purulia being exceptions
Some of the industrially advanced districts show higher dropout
Burdwan, Hooghly, Howrah & N. 24 Pgs. Adult members education discourages dropout Midday meal and village education committee
have positive effects on school continuation Gen Caste, Religion(Hindu), Pol Part, External
Money positive effect
Thank You!
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