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Data structures in Stata

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  • Daniel C. Schneider

    (Max Planck Institute for Demographic Research, Rostock)

Abstract

This presentation starts out by enumerating and describing the main data structures in Stata (for example, datasets, frames, and matrices) and Mata (for example, string and numeric matrices, objects like associative arrays). It analyzes ways in which data can be represented and coerced from one data container into another. After assessing the strengths and limitations of existing data containers, it muses on potential additions of new data structures and on enriching the functionality of existing data structures and their interplay. Moreover, data structures from other languages, such as Python lists, are described and examined for their potential introduction into Stata and Mata. The goal of the presentation is to stimulate a discussion among Stata users and developers about ways in which the capabilities of Stata’s data structures could be enhanced in order to ease and open up new possibilities for data management and analysis.

Suggested Citation

  • Daniel C. Schneider, 2024. "Data structures in Stata," German Stata Conference 2024 09, Stata Users Group.
    • Handle: RePEc:boc:dsug24:09
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    File URL: http://repec.org/dsug2024/germany23_Tauchmann.pdf
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