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Response Bias in Voluntary Surveys: An Empirical Analysis of the Canadian Census

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Abstract

In 2011, the National Household Survey replaced the traditional Long Form Census in Canada. The questions in the National Household Survey were similar to the Long Form Census, but responding to this survey was no longer mandatory. This paper provides an empirical analysis of the information loss arising from the change to a voluntary response policy. Comparisons of the differences between the non-mandatory 2011 National Household Survey and the 1996, 2001, and 2006 mandatory Long Form Census are used to identify changes related to the response policy. Using two-sample Kolgomov-Smirnov tests, differences in income distributions are tested to find that high income earners are underrepresented in the voluntary survey. This finding is corroborated by comparisons of various inequality measures across these time periods. Differences in discrete variables are tested using differences in proportions and Pearsons chi-squared tests. Systematic misrepresentation of certain groups is found in the voluntary survey. The switch to a voluntary response policy in 2011 likely led to an over representation of women and married individuals.

Suggested Citation

  • Kerry Nield & Ardyn T. Nordstrom, 2016. "Response Bias in Voluntary Surveys: An Empirical Analysis of the Canadian Census," Carleton Economic Papers 16-10, Carleton University, Department of Economics, revised 09 Aug 2016.
    • Handle: RePEc:car:carecp:16-10
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    1. Hou, Feng & Picot, Garnett, 2014. "Immigration, Low Income and Income Inequality in Canada: What?s New in the 2000s?," Analytical Studies Branch Research Paper Series 2014364e, Statistics Canada, Analytical Studies Branch.
    2. David A. Green & Kevin Milligan, 2010. "The Importance of the Long Form Census to Canada," Canadian Public Policy, University of Toronto Press, vol. 36(3), pages 383-388, September.
    3. Michael R. Veall, 2010. "2B or Not 2B? What Should Have Happened with the Canadian Long Form Census? What Should Happen Now?," Canadian Public Policy, University of Toronto Press, vol. 36(3), pages 395-399, September.
    4. Ronald R. Rindfuss & Larry L. Bumpass & Minja K. Choe & Noriko O. Tsuya & Emi Tamaki, 2015. "Do low survey response rates bias results? Evidence from Japan," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 32(26), pages 797-828.
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    More about this item

    Keywords

    Census; Demographics; Nonresponse Bias;
    All these keywords.

    JEL classification:

    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • J11 - Labor and Demographic Economics - - Demographic Economics - - - Demographic Trends, Macroeconomic Effects, and Forecasts

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