New package -mpitb- now available from SSC

[Nicolai Suppa]

Thanks to Kit Baum, the package mpitb is now available from SSC. Type

ssc install mpitb

to install the package.

The package requires Stata 16 or newer and is also available from Gitlab.

mpitb is a toolbox to estimate and analyze multidimensional poverty indices (MPI), which supports the popular Alkire-Foster framework to multidimensional poverty measurement.

The accompanying paper and slides provide further background information and examples.

If you run into any bugs, cryptic error messages or incomprehensible parts in the documentation, please report under the issue tracker.

Any kind of feedback is always welcome, whether reporting back how mpitb is useful for your work or where you'd like to see improvements. For extensions and feature requests, please also use the issue tracker.

I will announce major updates or revisions in this topic.

[Emmanuel Kisaame]

Hi Nicolai,

Thanks for the tool box. It's super useful. I'm evaluating the effect of a cash transfer program on child deprivation using both mpi and propensity score matching. However, when I run the mpitb est command, the rest of the variables (my covariates and treatment variable) disappear leaving only the mpi related variables. As a result, my matching command returns an error because the treatment variable cannot be found. Please advise on how I can go around this. Thank you so much.

Emmanuel

[Nicolai Suppa]

Hi Emmanuel,

Happy to hear that you find the toolbox useful! From your description it's not entirely clear to me how exactly you'd like to implement the propensity score matching (i.e. with which commands and which outcomes). Moreover, the toolbox is usually not touching or even dropping other variables in the dataset. Feel free to send me a personal message with further details, if that helps.

Nicolai