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Comparing serial, and choice task stated and inferred attribute non-attendance methods in food choice experiments

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Abstract
A number of choice experiment (CE) studies have shown that survey respondents employ heuristics such as attribute non-attendance (ANA) while evaluating food products. This paper addresses a set of related methodological questions using empirical consumer data from a CE on poultry meat with sustainability labels. First, it assesses whether there are differences in terms of marginal willingness to pay estimates between the two most common ways of collecting stated ANA (serial and choice task level). Second, it validates the self-reported ANA behaviour across both approaches. Third, it explores the concordance of stated methods with that of the inferred method. Results show that WTP estimates from serial-level data differ from those from choice task-level data. Also, self-reported measures on choice task ANA are found to be more congruent with model estimates than those for serial ANA, as well as with inferred ANA.
Keywords
Attribute non-attendance, serial stated attribute non-attendance, choice task stated attribute non-attendance, inferred attribute non-attendance, choice experiments, sustainable food labels, SOUTHERN OSCILLATION, EL-NINO, CLIMATE, VARIABILITY, IMPACTS, YIELDS, NORTH, ENSO, CORN

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Chicago
Caputo, Vincenzina, Ellen Van Loo, Riccardo Scarpa, Rodolfo M Nayga Jr, and Wim Verbeke. 2018. “Comparing Serial, and Choice Task Stated and Inferred Attribute Non-attendance Methods in Food Choice Experiments.” Journal of Agricultural Economics 69 (1): 35–57.
APA
Caputo, V., Van Loo, E., Scarpa, R., Nayga, R. M., Jr, & Verbeke, W. (2018). Comparing serial, and choice task stated and inferred attribute non-attendance methods in food choice experiments. JOURNAL OF AGRICULTURAL ECONOMICS, 69(1), 35–57.
Vancouver
1.
Caputo V, Van Loo E, Scarpa R, Nayga RM Jr, Verbeke W. Comparing serial, and choice task stated and inferred attribute non-attendance methods in food choice experiments. JOURNAL OF AGRICULTURAL ECONOMICS. 2018;69(1):35–57.
MLA
Caputo, Vincenzina, Ellen Van Loo, Riccardo Scarpa, et al. “Comparing Serial, and Choice Task Stated and Inferred Attribute Non-attendance Methods in Food Choice Experiments.” JOURNAL OF AGRICULTURAL ECONOMICS 69.1 (2018): 35–57. Print.
@article{8535075,
  abstract     = {A number of choice experiment (CE) studies have shown that survey respondents employ heuristics such as attribute non-attendance (ANA) while evaluating food products. This paper addresses a set of related methodological questions using empirical consumer data from a CE on poultry meat with sustainability labels. First, it assesses whether there are differences in terms of marginal willingness to pay estimates between the two most common ways of collecting stated ANA (serial and choice task level). Second, it validates the self-reported ANA behaviour across both approaches. Third, it explores the concordance of stated methods with that of the inferred method. Results show that WTP estimates from serial-level data differ from those from choice task-level data. Also, self-reported measures on choice task ANA are found to be more congruent with model estimates than those for serial ANA, as well as with inferred ANA.},
  author       = {Caputo, Vincenzina and Van Loo, Ellen and Scarpa, Riccardo and Nayga, Rodolfo M, Jr and Verbeke, Wim},
  issn         = {0021-857X},
  journal      = {JOURNAL OF AGRICULTURAL ECONOMICS},
  keyword      = {Attribute non-attendance,serial stated attribute non-attendance,choice task stated attribute non-attendance,inferred attribute non-attendance,choice experiments,sustainable food labels,SOUTHERN OSCILLATION,EL-NINO,CLIMATE,VARIABILITY,IMPACTS,YIELDS,NORTH,ENSO,CORN},
  language     = {eng},
  number       = {1},
  pages        = {35--57},
  title        = {Comparing serial, and choice task stated and inferred attribute non-attendance methods in food choice experiments},
  url          = {http://dx.doi.org/10.1111/1477-9552.12246},
  volume       = {69},
  year         = {2018},
}

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