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Applying symbolic mathematics in Stata using Python

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  • Kye Lippold

    (UC San Diego)

Abstract

I present an applied example of blending theory and data using Stata 16's new Python integration. The SymPy library in Python makes a wide range of symbolic mathematical tools available to Stata programmers. For a recent project, I used theory and SymPy to derive a relationship between two labor supply elasticities in a structural model and separately used Stata to generate reduced-form estimates of these elasticities. I then used the Stata Function Interface to directly plug the empirical Stata estimates into my SymPy model, allowing easy and reproducible estimation of the theoretical relationship of interest. I discuss these methods and provide code for use by other researchers.

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  • Kye Lippold, 2020. "Applying symbolic mathematics in Stata using Python," 2020 Stata Conference 22, Stata Users Group.
    • Handle: RePEc:boc:scon20:22
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    File URL: http://fmwww.bc.edu/repec/scon2020/us20_Lippold.pdf
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