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A survey on survey statistics: What is done and can be done in Stata

Author

Listed:
  • Frauke Kreuter

    () (Joint Program in Survey Methodology, University of Maryland)

  • Richard Valliant

    (Joint Program in Survey Methodology, University of Michigan, Ann Arbor)

Abstract

This article will survey issues in analyzing complex survey data and describe some of the capabilities of Stata for such analyses. We will briefly review key elements of survey design and explain the effects of different design features on bias and variance. We compare different methods of variance estimation for stratified and clustered samples and discuss the handling of survey weights. We will also give examples for the practical importance of Stata's survey capabilities. Copyright 2007 by StataCorp LP.

Suggested Citation

  • Frauke Kreuter & Richard Valliant, 2007. "A survey on survey statistics: What is done and can be done in Stata," Stata Journal, StataCorp LP, vol. 7(1), pages 1-21, February.
  • Handle: RePEc:tsj:stataj:v:7:y:2007:i:1:p:1-21
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    Citations

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    Cited by:

    1. Resende, Marcelo & Strube, Eduardo & Zeidan, Rodrigo, 2014. "Complementarity of innovation policies in Brazilian industry: An econometric study," International Journal of Production Economics, Elsevier, vol. 158(C), pages 9-17.
    2. Uhrig, S.C. Noah, 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
    3. Juan Pablo Valenzuela & Gabriela Gómez V. & Carmen Sotomayor, 2012. "The role of reading engagement in a case of national achievement improvement: analysis of Chilean results in PISA 2001-2009," Working Papers wp367, University of Chile, Department of Economics.
    4. Begović, Selena & Adnett, Nick & Pugh, Geoff, 2016. "An investigation into the credibility of currency board arrangements in Bosnia and Herzegovina and Bulgaria," Journal of Comparative Economics, Elsevier, vol. 44(3), pages 787-799.
    5. Florence Neymotin, 2016. "Individuals and Communities: the Importance of Neighbors Volunteering," Journal of Labor Research, Springer, vol. 37(2), pages 149-178, June.
    6. repec:spr:izamig:v:7:y:2017:i:1:d:10.1186_s40176-017-0099-x is not listed on IDEAS
    7. Brady T. West & Patricia Berglund & Steven G. Heeringa, 2008. "A closer examination of subpopulation analysis of complex-sample survey data," Stata Journal, StataCorp LP, vol. 8(4), pages 520-531, December.
    8. Christopher Tamborini & Howard Iams & Gayle Reznik, 2012. "Women’s Earnings Before and After Marital Dissolution: Evidence from Longitudinal Earnings Records Matched to Survey Data," Journal of Family and Economic Issues, Springer, vol. 33(1), pages 69-82, March.
    9. Gigena, M. & Vera, M.L. & Giuliodori, R . & Gertel, H., 2011. "Exploring the gap difference in 2000-2009 PISA Test Scores between Argentina, Chile and Mexico," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    10. Valenzuela, Juan Pablo & Gómez Vera, Gabriela & Sotomayor, Carmen, 2015. "The role of reading engagement in improving national achievement: An analysis of Chile's 2000–2009 PISA results," International Journal of Educational Development, Elsevier, vol. 40(C), pages 28-39.
    11. Héctor R. Gertel & Roberto F. Giuliodori & Santiago Gastelu & María Luz Vera, 2011. "Beyond Results: What Makes the Difference Between Argentina, Chile and Mexico in PISA 2009?," Investigaciones de Economía de la Educación volume 6,in: Antonio Caparrós Ruiz (ed.), Investigaciones de Economía de la Educación 6, edition 1, volume 6, chapter 5, pages 88-100 Asociación de Economía de la Educación.

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