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statacons: An SCons-based build tool for Stata

Author

Listed:
  • Raymond P. Guiteras

    (North Carolina State University)

  • Ahnjeong Kim

    (North Carolina State University)

  • Brian Quistorff

    (Bureau of Economic Analysis)

  • Clayson Shumway

    (North Carolina State University)

Abstract

In this article, we present statacons, an SCons-based build tool for Stata. Because of the integration of Stata and Python in recent versions of Stata, we are able to adapt SCons for Stata workflows without the use of an external shell or extensive configuration. We discuss the usefulness of build tools generally, provide examples of the use of statacons in Stata workflows, present key elements of the syntax of statacons, and discuss extensions, alternatives, and limitations. We provide recommendations for collaborative workflows and, at the end of the article, installation instructions.

Suggested Citation

  • Raymond P. Guiteras & Ahnjeong Kim & Brian Quistorff & Clayson Shumway, 2023. "statacons: An SCons-based build tool for Stata," Stata Journal, StataCorp LP, vol. 23(1), pages 148-196, March.
    • Handle: RePEc:tsj:stataj:v:23:y:2023:i:1:p:148-196
    DOI: 10.1177/1536867X231162032
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj23-1/st0704/
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    References listed on IDEAS

    as
    1. Ben Jann, 2007. "Making regression tables simplified," Stata Journal, StataCorp LP, vol. 7(2), pages 227-244, June.
    2. Shumway, Clayson & Wilson, Riley, 2022. "Workplace disruptions, judge caseloads, and judge decisions: Evidence from SSA judicial corps retirements," Journal of Public Economics, Elsevier, vol. 205(C).
    3. Valérie Orozco & Christophe Bontemps & Elise Maigné & Virginie Piguet & Annie Hofstetter & Anne Lacroix & Fabrice Levert & Jean‐Marc Rousselle, 2020. "How To Make A Pie: Reproducible Research For Empirical Economics And Econometrics," Journal of Economic Surveys, Wiley Blackwell, vol. 34(5), pages 1134-1169, December.
    4. George G. Vega Yon & Brian Quistorff, 2019. "parallel: A command for parallel computing," Stata Journal, StataCorp LP, vol. 19(3), pages 667-684, September.
    5. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    6. E. F. Haghish, 2016. "markdoc: Literate programming in Stata," Stata Journal, StataCorp LP, vol. 16(4), pages 964-988, December.
    Full references (including those not matched with items on IDEAS)

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