Cambodia’s CESSP Scholarship Program (CSP), analysis of
, 261–263
characteristics of CSP recipients and non-recipient applicants
, 271–273
comparison of program effects for recipients and their siblings
, 262
enrollment and work outcomes for children
, 274–275
identification strategy
, 276–277
Intent-to-Treat (ITT) estimates of program impact
, 277
model
, 263–269
offsetting effects
, 262
program and data
, 269–276
proof that both children are enrolled
, 296–297
recipient household and school enrollment
, 262
results
, 277–287
CSP program effects on the siblings of applicants
, 280–281, 284–286
effects on school enrollment
, 277–278, 286–287
non-pecuniary educational spillovers
, 287, 290, 290n2, 291n11, 293n28
program effects on parents
, 297–298
recipient effects by gender
, 278–279
richer and poorer households, school enrollment
, 286–288
robustness checks
, 281–287
school-specific quartic trends and intercepts
, 282–284
selection of CSP recipients within eligible schools
, 270
censored headcount ratio (CHR)
, 167, 174–175
child-specific conditional transfer program, Cambodia, 260–261. see also Cambodia’s CESSP Scholarship Program (CSP)
China, estimations of MPI (2010–2014)
adjusted headcount ratio
, 164–167
advantages and limitations of dataset
, 172
age of the household head and MPI levels
, 188–191
Amartya Sen’s capability approach, motivation for
, 162–163
asset ownership
, 171
basic results
, 172–174
China Family Panel Studies’ (CFPS) data set
, 164, 167–168, 170–173, 177, 179, 200, 205, 211n11
Chinese traditional concept of poverty
, 163
cooking fuel
, 171
cross-dimensional poverty cutoff
, 166
deprivation cutoffs
, 166
drinking water facility
, 171
education level of household heads and MPI levels
, 182–183, 185–188
electricity connection
, 170
female-headed households and MPI levels
, 179, 182–183
flooring information
, 171
gender difference and MPI levels
, 179, 182–183, 223–227
household size and MPI levels
, 196–197, 199–200
Hukou system and MPI levels
, 189, 192–195, 199, 213n34, 213n37
indicator analysis
, 168–172, 174–175
indicators of destitution poverty and deprivation thresholds
, 222
large provinces (Liaoning, Shanghai, Guangdong, Henan, and Gansu)
, 177–181
literature review
, 163–164
living standard
, 170–171
major regions (East, Central, and West)
, 177–178, 212n27
methodology
, 164–167
mortality and nutrition
, 170
nutrition (BMI) distribution among ages for adults
, 222
national poverty comparisons
, 228
overlap of monetary poverty and MPI
, 200
raw headcount ratio (RHR) and censored headcount ratio (CHR)
, 174–175
rural and urban areas
, 175–177, 212n25
rural official poverty line and rural poverty
, 1980–2014, 221
sampling procedure and weights
, 168
sanitation
, 170–171, 211n19
schooling and child school attendance
, 169–170
by social groups
, 179–200
chronic and intertemporal poverty measures
, 107–111
application of
, 129–131
dynamic models of evolution of wellbeing
, 115–129
autoregression with household fixed effect
, 121–125
autoregression with PA trend
, 125–126
comparison and evaluation of
, 126–129
household-specific time trends
, 119–121, 129
linear interpolation
, 118–119
log consumption ratio predictions
, 118–120, 122–125, 127–128
statistical and econometric methods to
, 117
Foster and Santos’s measure of chronic poverty
, 110, 133n6
normative and positive aspects, analysis of
descriptive statistics
, 113–115
ERHS sample
, 111–115
unit of analysis
, 112–113
unit-period wellbeing indicator
, 112
orderings of wellbeing trajectories
, 107–109
duration sensitivity or contiguity
, 108–109
non-decreasing compensation measures
, 109–110, 130
Porter and Quinn’s measure of intertemporal poverty
, 110, 133n7
‘true’ degree of
, 131
clustering-increasing transfer (CI)
, 43, 46, 55
composite income-net worth poverty index
, 239