Stated or inferred attribute non-attendance? A simulation approach
| dc.creator | Mariel, Petr | |
| dc.creator | Hoyos, D. | |
| dc.creator | Meyerhoff, J. | |
| dc.date | 2017-04-01T19:20:23Z | |
| dc.date.accessioned | 2026-07-09T07:15:48Z | |
| dc.description | 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. | |
| dc.identifier | Other:DOI: 10.7201/earn.2013.01.03 | |
| dc.identifier | doi:10.22004/ag.econ.152821 | |
| dc.identifier | https://ageconsearch.umn.edu/record/152821/files/Cap3.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/152821 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/586297 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/152821 | |
| dc.title | Stated or inferred attribute non-attendance? A simulation approach | |
| dc.type | Text |