MPI::examplePovertydf
is a simulation poverty data frame
contains 16 indicators column which 1 means deprived and 0 means not
deprived, and simulated forth-level administrative division of
France.
Access to health care | Child Mortality | Access to clean source of water | Access to an improve sanatation | Electricity | Asset ownership | Cooking Fuel | Housing Materials | School lag | School attendance | Years of education | Region |
---|---|---|---|---|---|---|---|---|---|---|---|
1 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | Olmeto |
0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | Olmeto |
1 | 0 | 1 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | Olmeto |
For calculating MPI using AF_Seq
for sequential run or
AF_Par
for parallel run.
Input will be
df
A poverty data frameg
A column name that will be used to divide data into
groups. When the value is NULL, the entire data is not separated into
groups.w
An indicator weight vectorsk
A poverty cut-off. If an aggregate value of
indicators of a specific person is above or equal the value of k, then
this person is considered to be a poor.(default as 1)Output will be list of lists separated into group, and each list contains
groupname
A Grouped value from column input
g
## [1] "Bastia"
total
Number of population in each group## [1] 2
poors
Number of deprived people in each group## [1] 2
H
Head count ratio, the proportion of the population
that is multidimensionally deprived calculated by divide the number of
poor people with the total number of people.## [1] 1
A
Average deprivation share among poor people, by
aggregating the proportion of total deprivations each person and
dividing by the total number of poor people.## [1] 0.4090909
M0
Multidimensional Poverty Index, calculated by H
times A.## [1] 0.4090909
DimentionalContribution
indnames
The poverty indicatorsdiCont
Dimensional contributions denotes the magnitude
of each indicator impacts on MPI.UncensoredHCount
Uncensored head count of indicator
denotes the population that are deprived in that indicator.UncensoredHRatio
Uncensored head count ratio of
indicator denotes the proportion of the population deprived in that
indicator.CensoredHCount
Censored head count of indicator denotes
the population that are multidimensionally poor and deprived in that
indicator at the same time.CensoredHRatio
Censored head count ratio of indicator
denotes the proportion that is multidimensionally poor and deprived in
that indicator at the same time.
indnames | diCont | UncensoredHCounts | UncensoredHRatio | CensoredHCounts | CensoredHRatio |
---|---|---|---|---|---|
Access.to.health.care | 0.1111111 | 1 | 0.5 | 1 | 0.5 |
Child.Mortality | 0.1111111 | 1 | 0.5 | 1 | 0.5 |
Access.to.clean.source.of.water | 0.1111111 | 1 | 0.5 | 1 | 0.5 |
Access.to.an.improve.sanatation | 0.2222222 | 2 | 1.0 | 2 | 1.0 |
Electricity | 0.0000000 | 0 | 0.0 | 0 | 0.0 |
Asset.ownership | 0.2222222 | 2 | 1.0 | 2 | 1.0 |
Cooking.Fuel | 0.0000000 | 0 | 0.0 | 0 | 0.0 |
Housing.Materials | 0.1111111 | 1 | 0.5 | 1 | 0.5 |
School.lag | 0.0000000 | 0 | 0.0 | 0 | 0.0 |
School.attendance | 0.1111111 | 1 | 0.5 | 1 | 0.5 |
Years.of.education | 0.0000000 | 0 | 0.0 | 0 | 0.0 |
pov_df
poverty data frame
Cvector
is a vector of total values of deprived
indicators adjusted by weight of indicators. Each element in
Cvector
represents a total value of each individual.IsPoverty
is a binary variable with only 1 and 0, with
1 indicating that person does not meet the threshold(poor person) and 0
indicating the opposite.Intensity
The intensity of a deprived indication among
impoverished people is computed by dividing the number of deprived
indicators by the total number of indicators.
Access to health care | Child Mortality | Access to clean source of water | Access to an improve sanatation | Electricity | Asset ownership | Cooking Fuel | Housing Materials | School lag | School attendance | Years of education | Cvector | IsPoverty | Intensity |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 1 | 0.4545455 |
0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 0.3636364 |