Calculate Alkire-Foster Multidimensional Poverty Measures

Estimate Multidimensional Poverty Indices disaggregated by population subgroups based on the Alkire and Foster method (2011) . This includes the calculation of standard errors and confidence intervals. Other partial indices such as incidence, intensity and indicator-specific measures as well as intertemporal changes analysis can also be estimated. The standard errors and confidence intervals are calculated considering the complex survey design.


mpitbR: A Toolbox for Calculating Multidimensional Poverty Indices in R

CRANversion R buildstatus Downloads

Here it is provided a package for estimating multidimensional poverty measures based on the Alkire-Foster method which mirrors the estimation procedures of the original mpitb Stata package.

Installation

You can install the development version of mpitbR from GitHub or installing it from CRAN.

# Install the package from CRAN
install.packages("mpitbR")

# Install the latest version of the package from Github
devtools::install_github("girelaignacio/mpitbR")

Usage

A short example:

# Here we use the same synthetic household survey-like dataset from the Stata package example
data <- subset(syn_cdta)
data <- na.omit(data)

# Define the survey structure
svydata <- survey::svydesign(id=~psu, weights = ~weight, strata = ~stratum, data = data)

# mpitb set command
  # First we define the indicators with their dimensions names (d1,d2,d3) as a list 
indicators <- list(d1 = c("d_nutr","d_cm"),
                   d2 = c("d_satt","d_educ"),
                   d3 = c("d_elct","d_sani","d_wtr","d_hsg","d_ckfl","d_asst"))
  # Set the multidimensional poverty measurement project
set <- mpitb.set(svydata, indicators = indicators, name = "myname", desc = "pref. desc")

# mpitb est command
  # Estimate! 
est <- mpitb.est(set, c(20, 33), over = c("area","region"), 
                 tvar = "t", cotyear = "year")

Citation

Please cite this package if used in publications:

Girela, Ignacio (2024). mpitbR: Calculate Alkire-Foster Multidimensional Poverty Measures. R package version 1.0.0, https://CRAN.R-project.org/package=mpitbR.

A BibTeX entry for LaTeX users is

@Manual{mpitbRpkg,
    title = {mpitbR: Calculate Alkire-Foster Multidimensional Poverty Measures},
    author = {Ignacio Girela},
    year = {2024},
    note = {R package version 1.0.0},
    url = {https://CRAN.R-project.org/package=mpitbR},
  }

License

This project is licensed under the GPL (>= 3)

Documentation

For more detailed information, please refer to the documentation

IMPORTANT: A more detailed vignette on the usage of the package is under construction. Meanwhile, for exploring the package’s basic functionalities, you can refer to this submitted draft document, which has not undergone peer review

Contributing

Contributions are welcome! Please open an issue or submit a pull request

Contact

Please, do not hesitate to contact me!

Ignacio Girela (📧 [email protected])

Reference manual

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install.packages("mpitbR")

1.0.1 by Ignacio Girela, 2 years ago


https://github.com/girelaignacio/mpitbR


Report a bug at https://github.com/girelaignacio/mpitbR/issues


Browse source code at https://github.com/cran/mpitbR


Authors: Ignacio Girela [aut, cre, cph] , CONICET [fnd]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports purrr, stats, survey

Suggests gridExtra, knitr, parallel, rmarkdown, scales, stringi, tidyverse


See at CRAN