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The purpose of this research is to test how varying the numbers of attributes and alternatives affects the use of heuristics and selective information processing in discrete choice experiments (DCEs). The effects of visual attribute and alternative non-attendance (NA) on respondent choices are analyzed.

Two laboratory experiments that combined eye tracking and DCEs were conducted with 109 and 117 participants in the USA. The DCEs varied in task complexity by the number of product attributes and alternatives.

Results suggest that participants ignore both single attributes and entire alternatives. Increasing the number of alternatives significantly increased attribute NA. Including NA in choice modeling influenced results more in more complex DCEs.

The current experiments did not test for choice overload. Future studies could investigate more complex designs. The choice environment affects decision-making. Future research could compare laboratory and field experiments.

Private and public sectors often use DCEs to determine consumer preference. Results suggest that DCEs with two alternatives are superior to DCEs with four alternatives because NA was lower in the two-alternative design.

This empirical research examined effects of attribute and alternative NA on choice modeling using eye tracking and DCEs with varying degrees of task complexity. Results suggest that accounting for NA reduces the risk of over- or understating the impact of attributes on choice, in that one avoids claiming significance for attributes that might not truly be preferred, and vice versa.

This paper reviews the current literature on theoretical and methodological issues in discrete choice experiments, which have been widely used in non-market value analysis, such as elicitation of residents' attitudes toward recreation or biodiversity conservation of forests.

We review the literature, and attribute the possible biases in choice experiments to theoretical and empirical aspects. Particularly, we introduce regret minimization as an alternative to random utility theory and sheds light on incentive compatibility, status quo, attributes non-attendance, cognitive load, experimental design, survey methods, estimation strategies and other issues.

The practitioners should pay attention to many issues when carrying out choice experiments in order to avoid possible biases. Many alternatives in theoretical foundations, experimental designs, estimation strategies and even explanations should be taken into account in practice in order to obtain robust results.

The paper summarizes the recent developments in methodological and empirical issues of choice experiments and points out the pitfalls and future directions both theoretically and empirically.

The purpose of this paper is to examine smallholders’ preferences and willingness to pay for microcredit products with varying attribute combinations, in order to contribute to the debate on the optimal design of rural microcredit.

Data used in this study are based on a discrete choice experiment from 552 randomly selected respondents. Mixed logit and latent class models are estimated to examine the choice probability and sources of preference heterogeneity. Endogenous attribute attendance models are applied to account for attribute non-attendance (ANA) phenomenon, focusing on separate non-attendance probability as well as joint non-attendance probability.

The results demonstrate that preference heterogeneity and ANA exist in the smallholder farmers’ microcredit choices. Averagely, smallholder farmers prefer longer credit period, smaller credit size, lower transaction costs and lower interest rate. Guarantor collateral method and installment repayment positively affect their preferences as well. Moreover, respondents are found to be willing to pay more for the attributes they consider important. The microcredit providers are able to attract new customers under the current interest rates, if the combination of attributes is appropriately adjusted.

This study contributes to the debate by assessing the preference trade-off of different microcredit attributes more comprehensively than in previous analyses, by taking preference heterogeneity and ANA into account.

Recently, several regional protected geographical indications (PGI) have been introduced in Italy for extra virgin olive oil (EVOO) with the aim of coping with the substantial failure of protected designations of origin (PDO). This study aims to identify which characteristics consumers expect, in order to anticipate the market success.

In this study, a survey has been used on a sample of consumers from Sicily, one of the first regions which recently developed a regional PGI for EVOO. Data have been analyzed with a rank-ordered logit model.

Results yielded that consumers would accept this new product and their expectations correspond to a product with attributes such as: green color, not filtered, not with a sweet taste and with a known brand. A possible target can be represented by young men.

The results obtained anticipate whether this product would be accepted and provides direct indications for producers who wish to enter the market with a PGI EVOO.

This work focuses on consumer behavior toward products that are specifically certified with a recently introduced PGI label, and they still are not so common on the market.

This document analyses farmers' preferences and willingness to pay (CAP) for microcredit, in order to facilitate their access in rural areas.

Data are based on a discrete choice experiment with 400 randomly selected farmers from 20 villages of the 7 Benin agricultural development hubs (ADHs). The preference choice modelling was performed using mixed logit (MXL) and latent class logit (LCL) models. Farmers' willingness to pay for each preferred attribute was estimated. The endogenous attribute attendance (EAA) model was also used to capture attribute non-attendance (ANA) phenomenon.

The results indicate that, on average, farmers prefer individual loans, low interest rates, in kind + cash loans, cash loans, disbursement before planting and loans with at least 10-month duration. These preferences vary according to farmers' classes. Farmers are willing to pay higher or lower interest rates depending on attribute importance. The estimate of the EAA model indicates that, when taking the ANA phenomenon into consideration, people will show stronger attitudes regarding WTP for important factors.

Based on these results from Benin, microfinance institutions (MFIs) in developing countries can, based on the interest rates currently charged, attract more farmers as customers, reviewing the combination of the levels of the attributes associated with the nature of the loan, the type of loan (individual or collective), the disbursement period of funds, the waiting period of the loan and the loan duration. However, the study only considered production credit, ignoring equipment or investment credit.

The document provides information on the key factors that can facilitate producers' access to MFI products and services.

Facilitating small farmers' access to financial service will contribute to poverty reduction.

This research contributes to the knowledge of the attributes and attribute levels favoured by farmers when choosing financial products and the amounts they agree to pay for these attributes. The implementation of the results would facilitate small producers' access to financial services; thus contributing to poverty reduction.

This 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.

We 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.

The 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.

The 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.

The study examines the impact of credit constraints on farmers' crop insurance preferences while accounting for ANA.

The purpose of this paper is to investigate patient perspectives on attending pulmonary rehabilitation (PR). This qualitative case study identifies the benefits and challenges to attending PR and presents areas of improvements as recommended by patients.

A qualitative case study of a UK case study based on a PR programme based on undertaking focus groups (n=3) and interviews (n=15) with current and former patients.

The findings report patient perspectives of the challenges and benefits of attending a PR programme along with recommendations on how the service could be improved.

The authors focussed solely on a UK PR programme, so the findings might not be applicable to other countries if PR is organised and provided in a unique way or setting.

This paper provides valuable insights to patient perspectives offrom patients attending PR programmes, which are useful to those running and designing these services.

The findings identify the benefits and challenges for patients attending PR programmes and suggest areas where improvements can be made.

The aim of the review is to investigate the reasons for referral to this child and adolescent mental health (CAMH) service and determine whether these had been met by the service.

This is a retrospective case note analysis that was conducted of 66 referrals to CAMHS for children and young people serving a rural community of 132,000. Case notes were selected by the NHS CAMHS manager based on referrals during the pre-defined date set. Of the 66 referrals to CAMHS, 19 were not included in the analysis because they had not been accepted into the service. Data were analysed on the remaining 47 cases who were referred, accepted into the service and had been offered an assessment by the service.

General practitioners represented the most frequent health care practitioner to refer to the service (n = 33, 70.2%). Self harm, suicidal intent, thoughts or overdose represented the highest percentage of referrals to the CAMHS service (38.3%); depression, low mood and sadness represented the next highest figure (19%) and anxiety and depression (10.6%) broadly speaking 68% of referrals related to low mood. Out of the 44 cases that were examined, 14/44 (32%) were referred back to the GP and no specific intervention was provided. Interventions provided to five cases were unspecified.

A number of opportunities for developing the service that allowed for a focus on the core business of helping children and young people with low mood were identified. One of the limitations of this retrospective review was the time frame selected because it had been identified as a particularly high period for referral into the service and may not have been representative of the usual trend.

This informed a training strategy and resource allocation and a redefinition of discrete roles within the service.

This study highlighted the evidence about where the demand was on this service and hence the requirement to focus on their core business. This evidence generated by the review prompted a redirection of resources within the service. Additional reflections and discussion informed the development of a new training strategy and a redefinition of discrete roles within the service.

The purpose of this paper is to provide insights for flower retailers, horticultural practitioners and marketing managers into the prioritisation of cut flower attributes by German residents.

Applying a best–worst scaling approach, this analysis identified the relative ranking of importance amongst product attributes relevant to German consumers when buying fresh cut flowers. A latent class analysis determined four flower consumer segments for further study. The study builds on a sample of 978 consumers and is consistent with the most recent German census in terms of age, gender, income and federal state.

The best-worst analysis showed that intrinsic flower attributes, in particular appearance, freshness and scent were found to be more important to German consumers than the extrinsic attributes studied, namely, price, country of origin and a certification indicating fair trade. The latent class analysis determined four consumer segments that desire either budget, luxury or ethical flowers or more information about flowers. For all identified consumer segments, appearance was the attribute of greatest importance. The segments that desired luxury or ethical flowers, as well as the segment that desires more information were interested in appearance, but also had relatively large shares of preferences dedicated to flower freshness guarantees. The preference for freshness guarantees in addition to appearance may be interpreted jointly as a desire for not only beautiful and aesthetically pleasing flowers, but for sustained beauty.

Internationally, the study fills a research gap by exploring consumer’s relative preference for cut flower attributes. In contrast to existing studies on consumer preferences for flowers in Germany, the present study builds on a sample that was targeted in terms of age, gender, net household income and federal state to the most recent German census.

Using a discrete choice experiment (DCE), this study aims to better understand the job preference of postgraduate students studying at the Kwame Nkrumah University of Science and Technology-Institute of Distance Learning, Ghana and also rank the attributes of a job they deem important.

The research adopted a positivist epistemological design contextualised within a deductive approach and case study strategy. Primary survey data was collected from a stratified random sample of 128 postgraduate students with multi-sectorial career prospects. Sample students were subjected to a DCE in which their stated preferences were collected using closed-ended questionnaires with 28 pairs of hypothetical job profiles. Respondents’ preferences from the DCE data were then modelled using the conditional logit.

The research reveals that: salary in the range GHC 2,800.00 to GHC 3,400.00 ($1 = GHS 5.3); supportive management; very challenging jobs; and jobs located in the city were the top attributes that were significant and had the most impact in increasing the utility of selecting a particular job. Interestingly, jobs with no extra hours workload were not significant hence, had a negative impact upon student preferences.

This novel research is the first to use a DCE to better elicit preference and trade-offs of postgraduate students in a developing country towards varying job characteristics that have an impact on their future employment decisions. Knowledge advancements made provide invaluable insight to employers and policymakers on the key criteria that should be implemented to retain the best candidate.