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Stated or inferred attribute non-attendance? A simulation approach

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  • 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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    3. Iván Pérez-Rubio & Daniel Flores & Christian Vargas & Francisco Jiménez & Iker Etxano, 2021. "To What Extent Are Cattle Ranching Landholders Willing to Restore Ecosystem Services? Constructing a Micro-Scale PES Scheme in Southern Costa Rica," Land, MDPI, vol. 10(7), pages 1-24, July.
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    5. Ortega, David L. & Ward, Patrick S. & Caputo, Vincenzina, 2019. "Evaluating producer preferences and information processing strategies for drought risk management tools in Bangladesh," World Development Perspectives, Elsevier, vol. 15(C), pages 1-1.
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    7. Caputo, Vincenzina & Loo, Ellen J. Van & Scarpa, Riccardo & Nayga, Rodolfo M. Jr & Verbeke, Wim, 2014. "“Using Experiments to Address Attribute Non-attendance in Consumer Food Choices”," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 177173, Agricultural and Applied Economics Association.
    8. 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.
    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.
    10. Collins, Andrew T. & Rose, John M. & Hensher, David A., 2013. "Specification issues in a generalised random parameters attribute nonattendance model," Transportation Research Part B: Methodological, Elsevier, vol. 56(C), pages 234-253.
    11. West, Grant H. & Snell, Heather & Kovacs, Kent & Nayga, Rodolfo M., 2020. "Estimation of the preferences for the intertemporal services from groundwater," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304220, Agricultural and Applied Economics Association.
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