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|
For calculating MPI using
AF_Seq for sequential run or
AF_Par for parallel run.
Input will be
dfA poverty data frame
gA column name that will be used to divide data into groups. When the value is NULL, the entire data is not separated into groups.
wAn indicator weight vectors
kA 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)
out_seq <- AF_Seq(examplePovertydf, g = "Region", k = 3)
Output will be list of lists separated into group, and each list contains
groupnameA Grouped value from column input
##  "Bastia"
totalNumber of population in each group
##  2
poorsNumber of deprived people in each group
##  2
HHead 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
AAverage deprivation share among poor people, by aggregating the proportion of total deprivations each person and dividing by the total number of poor people.
##  0.4090909
M0Multidimensional Poverty Index, calculated by H times A.
##  0.4090909
indnamesThe poverty indicators
diContDimensional contributions denotes the magnitude of each indicator impacts on MPI.
UncensoredHCountUncensored head count of indicator denotes the population that are deprived in that indicator.
UncensoredHRatioUncensored head count ratio of indicator denotes the proportion of the population deprived in that indicator.
CensoredHCountCensored head count of indicator denotes the population that are multidimensionally poor and deprived in that indicator at the same time.
CensoredHRatioCensored head count ratio of indicator denotes the proportion that is multidimensionally poor and deprived in that indicator at the same time.
pov_dfpoverty data frame
Cvectoris a vector of total values of deprived indicators adjusted by weight of indicators. Each element in
Cvectorrepresents a total value of each individual.
IsPovertyis 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.
IntensityThe 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|