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Lowering your handicap with Stata


  • Tim Collier

    (London School of Hygiene and Tropical Medicine)


When I first met Stata in October 2000, my golf handicap was 27 and my game was going nowhere slowly. Ten years of intensive Stata therapy later, my handicap is 17.3 and falling. It would, of course, be nonsense to infer from this data that lowering your handicap increases Stata use, but could the reverse be true? Could there be a causal relationship between increasing Stata use and a decreasing handicap? In this presentation, I argue that, yes, there is. Granted, Stata might not work along the lines of traditional golf training aids, but rather its effect is mediated through a third factor, namely time. Golf consumes time. Stata produces time. In this presentation, I will demonstrate how minutes in Stata's programming world are equivalent to hours in the real world, and by the use of programs within programs, minutes can translate to days. Although extrapolation from an N of 1 is nearly always dangerous, I believe that Stata could be similarly used to reduce your weight, improve foreign language skills, or even increase research output.

Suggested Citation

  • Tim Collier, 2011. "Lowering your handicap with Stata," United Kingdom Stata Users' Group Meetings 2011 24, Stata Users Group.
  • Handle: RePEc:boc:usug11:24

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    References listed on IDEAS

    1. William Greene, 2009. "Models for count data with endogenous participation," Empirical Economics, Springer, vol. 36(1), pages 133-173, February.
    2. Massimiliano Bratti & Alfonso Miranda, 2011. "Endogenous treatment effects for count data models with endogenous participation or sample selection," Health Economics, John Wiley & Sons, Ltd., vol. 20(9), pages 1090-1109, September.
    3. Andreas Million & Regina T. Riphahn & Achim Wambach, 2003. "Incentive effects in the demand for health care: a bivariate panel count data estimation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(4), pages 387-405.
    4. Joseph V. Terza & Donald S. Kenkel & Tsui-Fang Lin & Shinichi Sakata, 2008. "Care-giver advice as a preventive measure for drinking during pregnancy: zeros, categorical outcome responses, and endogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 17(1), pages 41-54.
    5. Windmeijer, F A G & Silva, J M C Santos, 1997. "Endogeneity in Count Data Models: An Application to Demand for Health Care," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 281-294, May-June.
    6. Donald S. Kenkel & Joseph V. Terza, 2001. "The effect of physician advice on alcohol consumption: count regression with an endogenous treatment effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(2), pages 165-184.
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