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Instrumental variables, bootstrapping, and generalized linear models

Author

Listed:
  • James W. Hardin

    (Arnold School of Public Health, University of South Carolina)

  • Henrik Schmeidiche

    (Department of Statistics, Texas A&M University)

  • Raymond J. Carroll

    (Department of Statistics, Texas A&M University)

Abstract

This paper discusses and illustrates the qvf command for fitting generalized linear models. The differences between this new command and StataÕs glm command are highlighted. One of the most notable features of the qvf command is its ability to include instrumental variables. This functionality was added specifically to address measurement error but may be utilized by the user for other purposes. The qvf command was developed in the C-language using StataÕs new plugin features and executes much faster than the glm ado-file. Copyright 2003 by StataCorp LP.

Suggested Citation

  • James W. Hardin & Henrik Schmeidiche & Raymond J. Carroll, 2003. "Instrumental variables, bootstrapping, and generalized linear models," Stata Journal, StataCorp LP, vol. 3(4), pages 351-360, December.
  • Handle: RePEc:tsj:stataj:v:3:y:2003:i:4:p:351-360
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    References listed on IDEAS

    as
    1. Joseph Hilbe, 1993. "Generalized linear models," Stata Technical Bulletin, StataCorp LP, vol. 2(11).
    2. Murphy, Kevin M & Topel, Robert H, 2002. "Estimation and Inference in Two-Step Econometric Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 88-97, January.
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    Cited by:

    1. Wagstaff, Adam & Lindelow, Magnus, 2008. "Can insurance increase financial risk?: The curious case of health insurance in China," Journal of Health Economics, Elsevier, vol. 27(4), pages 990-1005, July.
    2. Kaushal, N., 2007. "Do food stamps cause obesity?: Evidence from immigrant experience," Journal of Health Economics, Elsevier, vol. 26(5), pages 968-991, September.
    3. Rahaman, Mohammad M., 2014. "Do managerial behaviors trigger firm exit? The case of hyperactive bidders," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 92-110.
    4. Mukim, Megha, 2011. "Industry and the urge to cluster: a study of the informal sector in India," LSE Research Online Documents on Economics 33592, London School of Economics and Political Science, LSE Library.
    5. Cawley, John & Meyerhoefer, Chad, 2012. "The medical care costs of obesity: An instrumental variables approach," Journal of Health Economics, Elsevier, vol. 31(1), pages 219-230.
    6. Kaushal, Neeraj & Muchomba, Felix M., 2015. "How Consumer Price Subsidies affect Nutrition," World Development, Elsevier, vol. 74(C), pages 25-42.
    7. Raul Caruso & Ilaria Petrarca & Roberto Ricciuti, 2014. "Climate Change, Rice Crops and Violence. Evidence from Indonesia," CESifo Working Paper Series 4665, CESifo Group Munich.
    8. Neeraj Kaushal & Felix Muchomba, 2013. "How Consumer Price Subsidies affect Nutrition," NBER Working Papers 19404, National Bureau of Economic Research, Inc.
    9. Bernhagen Patrick & Mitchell Neil J. & Thissen-Smits Marianne, 2013. "Corporate citizens and the UN Global Compact: explaining cross-national variations in turnout," Business and Politics, De Gruyter, vol. 15(1), pages 63-85, March.
    10. Koster, Hans R.A. & van Ommeren, Jos & Rietveld, Piet, 2014. "Estimation of semiparametric sorting models: Explaining geographical concentration of business services," Regional Science and Urban Economics, Elsevier, vol. 44(C), pages 14-28.

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