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Speaking Stata: On structure and shape: the case of multiple responses


  • Nicholas J. Cox

    () (University of Durham, UK)

  • Ulrich Kohler

    () (Social Science Research Center, Berlin, Germany)


A frequent problem in data management is that datasets may not arrive in the best structure for many analyses, so that it may be necessary to restructure the data in some way. The particular case of multiple response data is discussed at length, with special attention to different possible structures; the generation of new variables holding the data in different form; valuable inbuilt string and egen functions; using foreach and forvalues to loop over lists; and the use of the reshape command. Tabulations and graphics for such data are also reviewed brießy. Copyright 2003 by Stata Corporation.

Suggested Citation

  • Nicholas J. Cox & Ulrich Kohler, 2003. "Speaking Stata: On structure and shape: the case of multiple responses," Stata Journal, StataCorp LP, vol. 3(1), pages 81-99, March.
  • Handle: RePEc:tsj:stataj:v:3:y:2003:i:1:p:81-99

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    References listed on IDEAS

    1. Jean-Marie Dufour, 1997. "Some Impossibility Theorems in Econometrics with Applications to Structural and Dynamic Models," Econometrica, Econometric Society, vol. 65(6), pages 1365-1388, November.
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    Cited by:

    1. Ben Jann, 2005. "Tabulation of multiple responses," Stata Journal, StataCorp LP, vol. 5(1), pages 93-122, March.


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