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System for Formatting Tables


  • John Gallup

    () (Portland State University)


This addition to Stata enables extensive formatting of statistical tables created within Stata, creating native Word or TeX tables. Users can specify font sizes, font types, text justification, table cell height and width, cell boundary lines (of different styles), titles, labels, and footnotes, among other attributes. New data can be merged or appended to existing tables to create more complex tables. This system can provide full formatting for statistical tables similar to the way that Stata provided granular formatting for graphics starting in Stata 8. Users could use this to create a complete statistical appendix in print-ready form with a single command within Stata. This system is for use by programmers. The table formatting system is implemented in Mata for speed and compact memory use. Mata string matrices made for efficient coding. I have reimplemented the -outreg- ado program using this system, as well as written a program to create formatted cross-tabulation tables like those created by -tabulate-. I also plan to write a program to create formatted summary statistics tables.

Suggested Citation

  • John Gallup, 2010. "System for Formatting Tables," BOS10 Stata Conference 12, Stata Users Group.
  • Handle: RePEc:boc:bost10:12

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    References listed on IDEAS

    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
    4. Giuseppe Porro & Stefano Maria Iacus, 2009. "Random Recursive Partitioning: a matching method for the estimation of the average treatment effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(1), pages 163-185.
    5. Stefano Iacus & Gary King & Giuseppe Porro, 2008. "Matching for Causal Inference Without Balance Checking," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1073, Universit√° degli Studi di Milano.
    6. repec:cup:apsrev:v:95:y:2001:i:01:p:49-69_00 is not listed on IDEAS
    7. Kosuke Imai & Gary King & Elizabeth A. Stuart, 2008. "Misunderstandings between experimentalists and observationalists about causal inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(2), pages 481-502.
    8. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(03), pages 199-236, June.
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