Stated or inferred attribute non-attendance? A simulation approach

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.


Issue Date:
2013
Publication Type:
Journal Article
DOI and Other Identifiers:
DOI: 10.7201/earn.2013.01.03 (Other)
PURL Identifier:
http://purl.umn.edu/152821
Published in:
Economia Agraria y Recursos Naturales, Volume 13, Number 01
Page range:
51-67
JEL Codes:
Q51




 Record created 2017-04-01, last modified 2017-08-27

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