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Stated or inferred attribute non-attendance? A simulation approach

Author

Listed:
  • Mariel, Petr
  • Hoyos, D.
  • Meyerhoff, J.
Abstract
In the last few years, there has been a growing body of literature on how to detect and deal with the fact that some respondents seem to ignore one or more attributes in a discrete choice experiments. This paper aims to analyse the performance of two econometric approaches devoted to solve this problem: the stated attribute non-attendance approach and the inferred attribute non-attendance approach. These approaches are examined further by two common ways of collecting information on attribute non-attendance: serial and choice task non-attendance. The results of the simulation experiments show firstly, that choice task non-attendance of one attribute causes biases in the estimation of all other parameters; and, secondly, that only serial non-attendance can be inferred successfully. The results are policy relevant because not treating, or treating this issue incorrectly may end up in biased welfare measures.

Suggested Citation

  • Mariel, Petr & Hoyos, D. & Meyerhoff, J., 2013. "Stated or inferred attribute non-attendance? A simulation approach," Economia Agraria y Recursos Naturales, Spanish Association of Agricultural Economists, vol. 13(01).
    • Handle: RePEc:ags:earnsa:152821
    DOI: 10.22004/ag.econ.152821
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    References listed on IDEAS

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    7. Adelina Gschwandtner & Michael Burton, 2017. "The Willingness to Pay for Organic Attributes in the UK," Studies in Economics 1702, School of Economics, University of Kent.
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    9. Gschwandtner, Adelina & Jang, Cheul & McManus, Richard, 2018. "Improving Drinking Water Quality in South Korea: A Choice Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273472, Agricultural Economics Society.
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    11. Christie, Michael & Colombo, Sergio & Hanley, Nicholas, 2011. "What are the consequences of ignoring attributes in choice experiments? An application to ecosystem service values," Stirling Economics Discussion Papers 2011-20, University of Stirling, Division of Economics.
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