How to do (or not to do) … Designing a discrete choice experiment for application in a low-income country

Mangham, Lindsay; Hanson, Kara; McPake, Barbara

doi:10.1093/heapol/czn047

Cited by 494 publications

(476 citation statements)

References 40 publications

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“…The four rice attributes and their levels were used to build an orthogonal factorial design which is in agreement with other studies [29,32,37,[43][44][45]. The "main effects only" designs permit the uncorrelated estimation of all main effects under the assumption that all interactions between attributes are negligible [44][45][46]. Main effects can account for 70-90 percent of explained variance and are of primary interest in practical applications [30].…”

Section: Survey Design and Data Descriptionmentioning

confidence: 57%

Consumer Choices and Motives for Eco-Labeled Products in China: An Empirical Analysis Based on the Choice Experiment

2017

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Based on choice experiments conducted via face-to-face interviews with 435 participants in four provincial areas of China (Shanghai, Zhejiang, Jiangsu, and Guangdong), Chinese consumers' preferences and motives for purchasing eco-labeled rice are examined in this study. The heterogeneous effects of each motivating channel are also investigated. The results reveal positive correlations between premiums for eco-labeled rice and consumers' concerns about food safety and the environment, suggesting that health benefits and environmental considerations are the two critical motivations. The willingness to pay for eco-labeled rice does not increase with consumers' knowledge of the different production standards indicated by each eco-label. Individual characteristics that determine each class are further explored through a seemingly irrelevant regression to identify the target group of consumers for policy-makers.

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Section: Survey Design and Data Descriptionmentioning

confidence: 57%

Consumer Choices and Motives for Eco-Labeled Products in China: An Empirical Analysis Based on the Choice Experiment

2017

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“…Through asking respondents to choose between hypothetical alternatives, DCEs help understand an individual's valuation of different attributes of a product, policy or program (19). One of the most common applications of DCEs is to inform policy related to retention of health workers in remote or hardship zones.…”

Section: Methodsmentioning

confidence: 99%

Addressing health workforce distribution concerns: a discrete choice experiment to develop rural retention strategies in Cameroon

Robyn

Shroff

Zang

et al. 2015

Int J Health Policy Manag

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Background: Nearly every nation in the world faces shortages of health workers in remote areas. Cameroon is no exception to this. The Ministry of Public Health (MoPH) is currently considering several rural retention strategies to motivate qualified health personnel to practice in remote rural areas. Methods: To better calibrate these mechanisms and to develop evidence-based retention strategies that are attractive and motivating to health workers, a Discrete Choice Experiment (DCE) was conducted to examine what job attributes are most attractive and important to health workers when considering postings in remote areas. The study was carried out between July and August 2012 among 351 medical students, nursing students and health workers in Cameroon. Mixed logit models were used to analyze the data. Results: Among medical and nursing students a rural retention bonus of 75% of base salary (aOR= 8.27, 95% CI: 5.28-12.96, P< 0.001) and improved health facility infrastructure (aOR= 3.54, 95% CI: 2.73-4.58) respectively were the attributes with the largest effect sizes. Among medical doctors and nurse aides, a rural retention bonus of 75% of base salary was the attribute with the largest effect size (medical doctors aOR= 5.60, 95% CI: 4.12-7.61, P< 0.001; nurse aides aOR= 4.29, 95% CI: 3.11-5.93, P< 0.001). On the other hand, improved health facility infrastructure (aOR= 3.56, 95% CI: 2.75-4.60, P< 0.001), was the attribute with the largest effect size among the state registered nurses surveyed. Willingness-to-Pay (WTP) estimates were generated for each health worker cadre for all the attributes. Preference impact measurements were also estimated to identify combination of incentives that health workers would find most attractive. Conclusion: Based on these findings, the study recommends the introduction of a system of substantial monetary bonuses for rural service along with ensuring adequate and functional equipment and uninterrupted supplies. By focusing on the analysis of locally relevant, actionable incentives, generated through the involvement of policymakers at the design stage, this study provides an example of research directly linked to policy action to address a vitally important issue in global health. Implications for policy makers• Based on a Discrete Choice Experiment (DCE) analyzed using mixed logit and Willingness-to-Pay (WTP) analysis, we recommend substantial monetary bonuses for rural service along with ensuring supplies and equipment for at least a basic package of health services to motivate health workers • Classification of posts based on remoteness and tying level of bonuses to this may be necessary to attract health workers to the most rural areas • Offering specialist training and housing, as proposed by the Ministry of Public Health (MoPH) were less popular incentives across health worker cadres examined • Focusing on actionable incentives and conducting locally relevant research are vital if findings are to influence policy-making Implications for publicAttracting and retaining qu...

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“…Each alternative is described by a set of characteristics, known as attributes (Blamey et al, 2000;Mangham et al, 2009), which take on different levels. Choices between the alternatives reveal respondents' implicit trade-offs between attribute levels .…”

Section: Methodology: Choice Experimentsmentioning

confidence: 99%

Investigating fishers’ preferences for the design of marine Payments for Environmental Services schemes

Barr

Mourato

2014

Ecological Economics

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We determine the effects of various management restrictions on adoption rates of marine Payments for Environmental Services (PES) schemes. Choice experiments are used in order to determine how fisher participation rates change under different marine PES programme designs. Various designs, with differing restriction rates, show different rates of adoption. However, fishers show a high utility loss associated with any move away from the current management situation, irrespective of restriction levels. This indicates that PES scheme costs may be high and creating an enabling environment could be important to reducing perceived losses, as could investment into conditional in-kind compensation mechanisms. The paper also shows choice experiments to be a useful tool in marine PES design.

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How to do (or not to do) … Designing a discrete choice experiment for application in a low-income country

Cited by 494 publications

References 40 publications

Consumer Choices and Motives for Eco-Labeled Products in China: An Empirical Analysis Based on the Choice Experiment

Consumer Choices and Motives for Eco-Labeled Products in China: An Empirical Analysis Based on the Choice Experiment

Addressing health workforce distribution concerns: a discrete choice experiment to develop rural retention strategies in Cameroon

Investigating fishers’ preferences for the design of marine Payments for Environmental Services schemes

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