Econometric Modelling: Basics

Mariel, Petr; Hoyos, David; Meyerhoff, Jürgen; Czajkowski, Mikołaj; Dekker, Thijs; Glenk, Klaus; Jacobsen, Jette Bredahl; Liebe, Ulf; Olsen, Søren Bøye; Sagebiel, Julian; Thiene, Mara

doi:10.1007/978-3-030-62669-3_5

Cited by 4 publications

(1 citation statement)

References 71 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The choice of reference levels (Determann et al., 2019; Mariel et al., 2021), that is, the levels of attributes that serve as points of comparison for the other categories, was deliberately made considering the representation of the status quo of marketed cheeses in Brazil. The “reference category” or “reference level” is the category used as the baseline for comparing all other categories of a categorical predictor variable.…”

Section: Methodsmentioning

confidence: 99%

Impact of animal origin of milk, processing technology, type of product, and price on the Boursin cheese choice process: Insights of a discrete choice experiment and eye tracking

Tavares‐Filho,

Hidalgo,

Lima

et al. 2023

Journal of Food Science

View full text Add to dashboard Cite

Boursin is a versatile semisoft cheese that can be made with different types of milk. While widely distributed in the European and North American markets, Boursin is produced to a limited extent in Brazil despite its commercial potential. This scenario encourages consumer‐oriented product development studies by facilitating data collection with less bias and fewer product preconceptions, thus favoring the investigation of technological aspects of commercial interest. This study evaluates Brazilians’ perceptions regarding different versions of Boursin cheese, with the aim of gaining a better understanding of the factors related to choosing cheese. Four attributes related to cheese production were evaluated at three different levels using two discrete choice experiments: one with eye tracking (n = 20) and another without (n = 312). These attributes included “type of processing” (evaluating pasteurization, ohmic heating, and preparation with raw milk), “animal origin of milk” (cow, goat, or buffalo milk), “type of product” (traditional, light, and lactose‐free versions), and “price” (10.99, 13.99, and 16.99 BRL). Information regarding processing with ohmic heating did not affect the probability of Boursin being chosen, suggesting that consumers are open to using this emerging technology in Boursin cheese. However, information on being made with goat, buffalo, and raw milk negatively impacted the probability of choice, along with the price of 16.99 BRL. The frequency of cheese consumption and the level of health concerns also affected the probability of choosing the product.Practical ApplicationIdentifying the relationship between extrinsic attributes presented on the Boursin cheese label and the consumer's choice process can aid the communication process with the target audience and reveal how some technological issues of interest to manufacturers are perceived. This study indicates how information regarding the animal origin of the milk (cow, goat, and buffalo), the type of processing (pasteurization, ohmic heating, and raw milk), the version of the product (traditional, light, and lactose‐free), and the price affect the consumer choice process. The results provide insights that can be applied to product processing and designing labels.

show abstract

Section: Methodsmentioning

confidence: 99%

Impact of animal origin of milk, processing technology, type of product, and price on the Boursin cheese choice process: Insights of a discrete choice experiment and eye tracking

Tavares‐Filho,

Hidalgo,

Lima

et al. 2023

Journal of Food Science

View full text Add to dashboard Cite

show abstract

What Features of Fertility Treatment do Patients Value? Price Elasticity and Willingness-to-Pay Values from a Discrete Choice Experiment

Keller

Botha

Chambers

2022

Appl Health Econ Health Policy

View full text Add to dashboard Cite

Background Infertility is a medical condition affecting an estimated 186 million people worldwide. Medically assisted fertility treatments allow many of these individuals to have a baby. Insights about preferences of patients who have experienced fertility treatment should be used to inform funding policies and treatment configurations that best reflect the patients' voice and the value of fertility treatment to patients. Objective To explore the preferences for fertility treatment attributes of infertile women who had previously undergone or were undergoing fertility treatments-ex post perspective. Methods We used data from a stated-preference discrete choice experiment (DCE) among 376 Australian women who had undergone or were undergoing fertility treatment. Respondents chose their preferred treatment choices in 12 hypothetical treatment choice scenarios described by seven attributes (success rates, side effects, counselling/peer support, treatment journey, continuity of care, availability of experimental treatment and out-of-pocket cost). We estimated random parameter logit (RPL) and latent class (LC) models that accounted for preference heterogeneity. The results were used to derive price elasticities of demand and marginal willingness-to-pay (WTP) values for the treatment attributes explored within the DCE survey. Results Income level did not have a significant effect on marginal WTP for fertility treatment attributes. The demand for fertility treatment from an ex post perspective was found to be highly inelastic (treatment cost changes had almost no impact on demand). Success rates and out-of-pocket costs were significant and important predictors of individuals' treatment choices conditional on the attributes and levels included in the study. These were followed by counselling/peer support, side effects, treatment journey, continuity of care, and availability of experimental treatment, in that order. Respondents were willing to pay $383-$524 per one percentage point increase in the treatment success rate and over $2000 and over $3500 to avoid moderate and significant side effects, respectively (values are reported in AU$). Latent class models revealed that the majority of respondents (51%) were risk-averse success-rate seekers. Conclusion Infertile women who had previously undergone or were undergoing fertility treatment valued fertility treatment highly as reflected by highly price-inelastic demand. Success rate of treatment and out-of-pocket costs were the most important attributes and largely determined patients' WTP for fertility treatment relative to the attributes and levels used in the study. While further research should investigate the price sensitivity of women who have not experienced fertility treatment, these results might explain why women continue fertility treatment once they have commenced despite their financial capacity to pay. Future research should also determine patients' price elasticities for a fertility treatment program with multiple treatment cycles.

show abstract

Identifying patient preferences for diabetes care: A protocol for implementing a discrete choice experiment in Samoa

Rivara,

Galárraga,

Selu

et al. 2023

PLoS ONE

View full text Add to dashboard Cite

In Samoa, adult Type 2 diabetes prevalence has increased within the past 30 years. Patient preferences for care are factors known to influence treatment adherence and are associated with reduced disease progression and severity. However, patient preferences for diabetes care, generally, are understudied, and other patient-centered factors such as willingness-to-pay (WTP) for diabetes treatment have never been explored in this setting. Discrete Choice Experiments (DCE) are useful tools to elicit preferences and WTP for healthcare. DCEs present patients with hypothetical scenarios composed of a series of multi-alternative choice profiles made up of attributes and levels. Patients choose a profile based on which attributes and levels may be preferable for them, thereby quantifying and identifying locally relevant patient-centered preferences. This paper presents the protocol for the design, piloting, and implementation of a DCE identifying patient preferences for diabetes care, in Samoa. Using an exploratory sequential mixed methods design, formative data from a literature review and semi-structured interviews with n = 20 Samoan adults living with Type 2 diabetes was used to design a Best-Best DCE instrument. Experimental design procedures were used to reduce the number of choice-sets and balance the instrument. Following pilot testing, the DCE is being administered to n = 450 Samoan adults living with diabetes, along with associated questionnaires, and anthropometrics. Subsequently, we will also be assessing longitudinally how preferences for care change over time. Data will be analyzed using progressive mixed Rank Order Logit models. The results will identify which diabetes care attributes are important to patients (p < 0.05), examine associations between participant characteristics and preference, illuminate the trade-offs participants are willing to make, and the probability of uptake, and WTP for specific attributes and levels. The results from this study will provide integral data useful for designing and adapting efficacious diabetes intervention and treatment approaches in this setting.

show abstract

Econometric Modelling: Basics

Cited by 4 publications

References 71 publications

Impact of animal origin of milk, processing technology, type of product, and price on the Boursin cheese choice process: Insights of a discrete choice experiment and eye tracking

Impact of animal origin of milk, processing technology, type of product, and price on the Boursin cheese choice process: Insights of a discrete choice experiment and eye tracking

What Features of Fertility Treatment do Patients Value? Price Elasticity and Willingness-to-Pay Values from a Discrete Choice Experiment

Identifying patient preferences for diabetes care: A protocol for implementing a discrete choice experiment in Samoa

Contact Info

Product

Resources

About