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mpitbR: A Toolbox for Calculating Multidimensional Poverty Indices in R

CRAN version R build status 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 (📧 ignacio.girela@unc.edu.ar)

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.