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On the robustness of balance statistics with respect to nonresponse

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  • Christian Seiler

Abstract

A general problem for survey conductors is the fact that the response decision can be connected to the intended answer of the non-respondents. This nonresponse bias might have a substantial effect on the aggregated results. In this paper, a participation framework for the widely used business cycle balance statistics indicators is examined. An extensive simulation study is performed to analyse their effects. The analyses show that these indicators are extremely stable towards nonresponse biases.

Suggested Citation

  • Christian Seiler, 2015. "On the robustness of balance statistics with respect to nonresponse," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2014(2), pages 45-62.
  • Handle: RePEc:oec:stdkab:5jrxqbwcjdr3
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    File URL: http://dx.doi.org/10.1787/jbcma-2014-5jrxqbwcjdr3
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    References listed on IDEAS

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    Cited by:

    1. repec:spr:jbuscr:v:12:y:2016:i:1:d:10.1007_s41549-016-0002-5 is not listed on IDEAS
    2. Robert Lehmann & Antje Weyh, 2016. "Forecasting Employment in Europe: Are Survey Results Helpful?," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 12(1), pages 81-117, September.
    3. Robert Lehmann, 2015. "Survey-based indicators vs. hard data: What improves export forecasts in Europe?," ERSA conference papers ersa15p756, European Regional Science Association.

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