CEM for SPSS

    Authors:  Matthew Blackwell, Stefano Iacus, Gary King, and Giuseppe Porro

    This program is designed to improve the estimation of causal effects via an extremely powerful method of matching that is widely applicable and exceptionally easy to understand and use (if you understand how to draw a histogram, you will understand this method). The program implements the Coarsened Exact Matching (CEM) algorithm described in:

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    Remote sensing, image-processing and geospatial information management suite

    How To Apply


    Undergraduates interested in participating in the Research Scholars Program should check Current Opportunities to find out more about projects currently in need of researchers.  To apply, send a resume and cover letter detailing relevant qualifications and experience to the contact person listed under the project description. 


    "rpublish" is a software package designed to facilitate:

    • Collaboration, by interfacing with git and cvs repositories,
    • Construction, by assisting in the building of R-package and the resolution of errors/warnings in R code, and
    • Publishing, by creating and updating R repositories.


    Use of the rpublish script requires any of:


    ZeligChoice adds several choice regressions - ordinal, multinomial and bivariate - to Zelig.


    ZeligGAM adds general additive models to Zelig.


    This package adds multilevel (a.k.a. hierarchical or mixed-effect) models to Zelig.


    ZeligNetwork adds social-network regressions to Zelig.


    Zelig is a single, easy-to-use program that can estimate, help interpret, and present the results of a large range of statistical methods. It literally is "everyone's statistical software" because Zelig uses (R) code from many researchers. We also hope it will become "everyone's statistical software" for applications, and we have designed it so that anyone can use it or add their methods to it.