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Journal articles on the topic 'Attribute nonattendance'

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1

Widmar, Nicole J. Olynk, and David L. Ortega. "Comparing Consumer Preferences for Livestock Production Process Attributes Across Products, Species, and Modeling Methods." Journal of Agricultural and Applied Economics 46, no. 3 (2014): 375–91. http://dx.doi.org/10.1017/s1074070800030121.

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Consumer preferences for four livestock products were investigated to determine consumer willingness to pay (WTP) for livestock production process attributes. We use an inferred method of attribute nonattendance (ANA) using the coefficient of variation on individual specific parameter estimates to assess the variability of preference intensity for various product characteristics. We find that accounting for ANA did not significantly impact mean estimates of WT P. Implications of our findings on the reliability of existing work in the area of consumer preferences for animal welfare attributes are discussed.
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2

Collins, Andrew T., John M. Rose, and David A. Hensher. "Specification issues in a generalised random parameters attribute nonattendance model." Transportation Research Part B: Methodological 56 (October 2013): 234–53. http://dx.doi.org/10.1016/j.trb.2013.08.001.

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3

Giguere, Christopher, Chris Moore, and John C. Whitehead. "Valuing Hemlock Woolly Adelgid Control in Public Forests: Scope Effects with Attribute Nonattendance." Land Economics 96, no. 1 (2020): 25–42. http://dx.doi.org/10.3368/le.96.1.25.

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4

Quan, Shiwen, Yinchu Zeng, Xiaohua Yu, and Te Bao. "WTP for baby milk formula in China: Using attribute nonattendance as a priori information to select attributes in choice experiment." Agribusiness 34, no. 2 (2017): 300–320. http://dx.doi.org/10.1002/agr.21535.

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5

Jourdain, Damien, and Somsak Vivithkeyoonvong. "Valuation of ecosystem services provided by irrigated rice agriculture in Thailand: a choice experiment considering attribute nonattendance." Agricultural Economics 48, no. 5 (2017): 655–67. http://dx.doi.org/10.1111/agec.12364.

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6

Agnew, Jessica, Spencer Henson, and Ying Cao. "Are Low-Income Consumers Willing to Pay for Fortification of a Commercially Produced Yogurt in Bangladesh." Food and Nutrition Bulletin 41, no. 1 (2020): 102–20. http://dx.doi.org/10.1177/0379572119895860.

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Background: There is an active debate over the potential for market-based strategies to address micronutrient deficiencies in low- and middle-income countries. However, there are questions over the viability of market-based strategies, reflecting limited evidence on the value that low-income households attach to the nutritional attributes of processed foods. Objective: The objective of this article is to investigate the willingness to pay of primary food purchasers in low-income households in rural Bangladesh for Shokti+, a nutritionally fortified yogurt produced and distributed by Grameen Danone Foods Limited. Methods: A real choice experiment with economic incentives was conducted with 1000 rural food purchasers sampled from the distribution area of Shokti+ in rural Bangladesh. The choices of respondents revealed attribute nonattendance, favoring the fortification attribute over price. Results: Results from a random parameter logit model found that respondents were willing to pay an average of 18 BDT (US$0.22) for fortification and 6 BDT (US$0.073) for brand name. The market price for Shokti+ at the time of the study was 10 BDT (US$0.12). The results from a random effects model suggest the magnitude of willingness to pay for fortification was primarily driven by the nutritional awareness of respondents but offset by household food insecurity. Conclusions: The article concludes that, while there is a viable market for fortified yogurt in rural Bangladesh, efforts to promote this product as a strategy to address micronutrient deficiency are best targeted at low-income households with some capacity to pay for low priced commercially produced foods.
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Rodríguez-Entrena, Macario, Anastasio J. Villanueva, and José A. Gómez-Limón. "Unraveling determinants of inferred and stated attribute nonattendance: Effects on farmers’ willingness to accept to join agri-environmental schemes." Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie 67, no. 1 (2018): 31–52. http://dx.doi.org/10.1111/cjag.12169.

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8

Vass, Caroline, Dan Rigby, Kelly Tate, Andrew Stewart, and Katherine Payne. "An Exploratory Application of Eye-Tracking Methods in a Discrete Choice Experiment." Medical Decision Making 38, no. 6 (2018): 658–72. http://dx.doi.org/10.1177/0272989x18782197.

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Background. Discrete choice experiments (DCEs) are increasingly used to elicit preferences for benefit-risk tradeoffs. The primary aim of this study was to explore how eye-tracking methods can be used to understand DCE respondents’ decision-making strategies. A secondary aim was to explore if the presentation and communication of risk affected respondents’ choices. Method. Two versions of a DCE were designed to understand the preferences of female members of the public for breast screening that varied in how risk attributes were presented. Risk was communicated as either 1) percentages or 2) icon arrays and percentages. Eye-tracking equipment recorded eye movements 1000 times a second. A debriefing survey collected sociodemographics and self-reported attribute nonattendance (ANA) data. A heteroskedastic conditional logit model analyzed DCE data. Eye-tracking data on pupil size, direction of motion, and total visual attention (dwell time) to predefined areas of interest were analyzed using ordinary least squares regressions. Results. Forty women completed the DCE with eye-tracking. There was no statistically significant difference in attention (fixations) to attributes between the risk communication formats. Respondents completing either version of the DCE with the alternatives presented in columns made more horizontal (left-right) saccades than vertical (up-down). Eye-tracking data confirmed self-reported ANA to the risk attributes with a 40% reduction in mean dwell time to the “probability of detecting a cancer” ( P = 0.001) and a 25% reduction to the “risk of unnecessary follow-up” ( P = 0.008). Conclusion. This study is one of the first to show how eye-tracking can be used to understand responses to a health care DCE and highlighted the potential impact of risk communication on respondents’ decision-making strategies. The results suggested self-reported ANA to cost attributes may not be reliable.
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9

Watson, Verity, Terry Porteous, Tim Bolt, and Mandy Ryan. "Mode and Frame Matter: Assessing the Impact of Survey Mode and Sample Frame in Choice Experiments." Medical Decision Making 39, no. 7 (2019): 827–41. http://dx.doi.org/10.1177/0272989x19871035.

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Background. Choice experiments (CE) are applied in health economics to elicit public preferences and willingness to pay (WTP). CEs are frequently administered as Internet-based surveys. Internet surveys have recognized advantages, but concerns exist about the representativeness of Internet samples, data quality, and the impact on elicited values. Aim. We conducted the first study in health comparing an Internet-based CE survey with the more traditional general population mail survey. We also compared the Internet-based and mail CE surveys with computer-assisted personal interviews (CAPIs), which are commonly used to elicit health state valuations. Methods. Two separate samples were drawn from 2 United Kingdom (UK) volunteer Internet panels (IPs), CAPIs were undertaken with respondents sampled from UK Census Output Areas, and mail surveys were sent to UK households drawn from the postcode address file (PAF). Each mode received more than 1000 respondents. We compared modes and frames using objective measures (response rate, sample representativeness of the UK population, elicited values, theoretical validity, and cost per response) and subjective/self-reported measures (time taken to complete the study, perceived study consequentiality, and stated attribute nonattendance). This study intentionally confounded the survey modes and sample frame by choosing sample frames that are typically used by researchers for each mode. Results. Estimated WTP differs across mode-frame pairs. On most measures, CAPIs dominated. They are more expensive, however. On all measures, except response rates, Internet surveys dominated the mail survey. They were also cheaper. Conclusion. Researchers using IPs should pay attention to response rates and be aware that the quality of IPs differs. Given the importance of perceived consequentiality and attribute attendance in CEs, future research should address their impact across modes and frames.
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10

Owusu, Victor, Awudu Abdulai, and Williams Ali. "Preferences for crop insurance attributes among cocoa farmers in Ghana." Journal of Agribusiness in Developing and Emerging Economies ahead-of-print, ahead-of-print (2021). http://dx.doi.org/10.1108/jadee-03-2021-0068.

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PurposeThis article analyzes farmers' preferences for different nonindexed crop insurance alternatives, using discrete choice experiment data on cocoa farmers from southern Ghana. We examine farmers' attendance to attributes by comparing self-reported attribute nonattendance (ANA) to the behavior inferred from the choices.Design/methodology/approachWe utilize the latent class endogenous attribute attendance (EAA) model to address potential endogeneity by jointly modelling farmers' attribute processing strategies with their choice of attributes of the insurance products.FindingsThe results show that premium levels, mode and length of indemnity payouts tend to influence farmers' preferences for crop insurance products. The findings also reveal that credit-constrained farmers attend more to premium and payment mode attributes of the crop insurance products and that credit-constrained farmers tend to exhibit lower willingness-to-pay estimates for the crop insurance attributes.Research limitations/implicationsThe findings from the study suggest that credit constraints do not only limit input use, but also tend to have statistically significant impact on farmers' cocoa insurance participation decisions.Originality/valueThe study examines the impact of credit constraints on farmers' crop insurance preferences while accounting for ANA.
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11

Iles, Richard A., and John M. Rose. "Stated Choice design comparison in a developing country: recall and attribute nonattendance." Health Economics Review 4, no. 1 (2014). http://dx.doi.org/10.1186/s13561-014-0025-3.

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12

Iles, Richard Andrew, and John M. Rose. "Stated Choice Design Comparison in a Developing Country: Attribute Nonattendance and Choice Task Dominance." SSRN Electronic Journal, 2013. http://dx.doi.org/10.2139/ssrn.2324614.

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13

Harrison, Jane L., Alexandra Naumenko, and John C. Whitehead. "ATTRIBUTE NONATTENDANCE AND CITIZEN PREFERENCES FOR ECOSYSTEM‐BASED FISHERIES MANAGEMENT: THE CASE OF ATLANTIC MENHADEN." Contemporary Economic Policy, October 27, 2020. http://dx.doi.org/10.1111/coep.12511.

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14

Xiao, Jianhong, Fei Wang, Min Wang, and Zegang Ma. "Attribute nonattendance in COVID‐19 vaccine choice: A discrete choice experiment based on Chinese public preference." Health Expectations, January 20, 2022. http://dx.doi.org/10.1111/hex.13439.

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15

Agossadou, Monsoïa Arsène Juste, and Rodolfo M. Nayga. "Information effects in discrete choice experiments: Does type of delivery matter for valuation estimates and attribute nonattendance?" Journal of the Agricultural and Applied Economics Association, January 15, 2023. http://dx.doi.org/10.1002/jaa2.43.

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16

Opolski, Melissa, Helen Winefield, Cate Howell, Jim Toouli, Jane Collins, and Lilian Kow. "Banding together: an investigation of post-surgery support groups for laparoscopic adjustable gastric banding patients." Health Psychology Research 2, no. 2 (2014). http://dx.doi.org/10.4081/hpr.2014.1464.

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Though advocated as useful for patients, there is little in the literature regarding the use and effectiveness of bariatric support groups. This study investigated characteristics and experiences of bariatric patients who did and did not attend offered groups. Seventy-eight postoperative laparoscopic adjustable gastric banding patients from a private bariatric clinic completed mailed self-report questionnaires. Almost 60% reported having attended the clinic groups, with most wanting to meet other patients and obtain information rather than access psychological assistance. Participants reported generally positive experiences of attending. Nonattendance was often attributed to practical barriers. Satisfaction with support from others was not related to past or predicted future attendance, but higher psychological distress was related to and predictive of greater intention to attend future groups. Likely future attenders also held more positive beliefs about the groups than those who were unlikely to attend. Further research is required into potential positive and negative consequences of attendance, and characteristics of those who are likely to benefit or be harmed by attending. Interventions addressing stereotypes about support groups may help patients make informed decisions about whether to attend a bariatric support group.
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