Seasonality Effects on Consumers Preferences Over Quality Attributes of Different Beef Products

Using discrete choice modelling, the study investigates 946 American consumers willingness-to-pay and preferences for diverse beef products. A novel experiment was used to elicit the number of beef products that each consumer would purchase. The range of products explored in this study included ground, diced, roast, and six cuts of steaks (sirloin, tenderloin, flank, flap, New York and cowboy or rib-eye). The outcome of the study suggests that US consumers vary in their preferences for beef products by season. The presence of a USDA certification logo is by far the most important factor affecting consumers willingness to pay for all beef cuts, which is also heavily dependent on season. In relation to packaging, US consumers have mixed preference for different beef products by season. The results from a scaled adjusted ordered logit model showed that after price, safety-related attributes such as certification logos, types of packaging, and antibiotic free and organic products are a stronger influence on American consumers choice. Furthermore, US consumers on average purchase diced and roast products more often in winter slow cooking season, than in summer, whereas New York strip and flank steak are more popular in the summer grilling season. This study provides valuable insights for businesses as well as policymakers to make inform decisions while considering how consumers relatively value among different labelling and product attributes by season and better address any ethical, safety and aesthetic concerns that consumers might have

Integrating Routine, Variety Seeking and Compensatory Choice in a Utility Maximizing Framework

Given the large number of choices that consumers make each day it seems likely that they will generally adopt decision strategies that minimize cognitive effort, particularly with low price products such as most items found in a supermarket. One such strategy may be to simply choose what has been chosen in the past, i.e. to fall into a pattern of routine choices or decisions. In contrast, there may be preferences for variety in markets for low price, highly differentiated goods. We develop a conceptual and empirical model of routine choice, and the factors that result in transitions to two strategies other than routine selection, to wit, utility maximizing choice among available alternatives and a variety seeking strategy. The empirical approach we employ provides a mechanism for the examination of panel data that avoids the state dependence issues present in most applications to these types of data. We apply this framework to the choice of two food products that illustrate the heterogeneity across types of products in decision strategies and routine choice patterns.Choice modeling, routine behavior, variety‐seeking, panel data, Consumer/Household Economics, Demand and Price Analysis, Institutional and Behavioral Economics, D12, D03, C25,

Travel mode substitution in Sao Paulo : estimates and implications for air pollution control

How would travel demand in Sao Paulo respond to demand management instruments? Could higher gasoline prices or lower metro fares (or changes in travel time) help reduce congestion or pollution? The authors use cross-sectional variation from an urban travel survey to study the substitutability in demand between travel modes. The method assumes that the set of trips is given (that is, origin-destination pairs do not change). Choice of mode was found to be quite insensitive to changes; all elasticities were lower than 0.5 in absolute value, and most were close to zero. While the sensitivity of mode choice to relative travel times (that is, speeds) was somewhat greater than that to costs, the general finding is that mode choice is quite inflexible. So, subsidies to less polluting (less congesting) travel modes would not help much in attracting travelers from more polluting (more congesting) modes. (The same holds for subsidized means of making them run faster.) But there are important limitations in the scope of the study. First, the study does not discuss optimal pricing. It merely examines the likely sign and magnitude of the links between pollution and policy parameters such as prices and travel speeds. Second, aggregate demand by mode could also depend on the city's shape and its travel intensity (the number, direction, and length of trips). For example, if a"city"stretches along a constructed metro line, the study would not capture such a phenomenon, since sensitive trip generation is excluded. These issues are not examined in the study.Roads&Highways,Consumption,Economic Theory&Research,Environmental Economics&Policies,Transport Economics Policy&Planning,Roads&Highways,Economic Theory&Research,Urban Transport,Environmental Economics&Policies,Transport and Environment

Preserve or retreat? Willingness-to-pay for Coastline Protection in New South Wales

Coastal erosion is a global and pervasive phenomenon that predicates a need for a strategic approach to the future management of coastal values and assets (both built and natural), should we invest in protective structures like seawalls that aim to preserve specific coastal features, or allow natural coastline retreat to preserve sandy beaches and other coastal ecosystems. Determining the most suitable management approach in a specific context requires a better understanding of the full suite of economic values the populations holds for coastal assets, including non-market values. In this study, we characterise New South Wales residents willingness to pay to maintain sandy beaches (width and length). We use an innovative application of a Latent Class Binary Logit model to deal with Yea-sayers and Nay-sayers, as well as revealing the latent heterogeneity among sample members. We find that 65% of the population would be willing to pay some amount of levy, dependent on the policy setting. In most cases, there is no effect of degree of beach deterioration characterised as loss of width and length of sandy beaches of between 5% and 100% on respondents willingness to pay for a management levy. This suggests that respondents who agreed to pay a management levy were motivated to preserve sandy beaches in their current state irrespective of the severity of sand loss likely to occur as a result of coastal erosion. Willingness to pay also varies according to beach type (amongst Iconic, Main, Bay and Surf beaches) a finding that can assist with spatial prioritisation of coastal management. Not recognizing the presence of nay-sayers in the data or recognizing them but eliminating them from the estimation will result in biased WTP results and, consequently, biased policy propositions by coastal managers.Comment: arXiv admin note: substantial text overlap with arXiv:1902.0241

CHOICE AND TEMPORAL WELFARE IMPACTS: DYNAMIC GEV DISCRETE CHOICE MODELS

Welfare economics is often employed to measure the impact of economic policies or externalities. When demand is characterized by discrete choices, static models of consumer demand are employed for this type of analysis because of the difficulty in estimating dynamic discrete choice models. In this paper we provide a tractable approach to estimating dynamic discrete choice models of the Generalized Extreme Value (GEV) family that addresses many of the problems identified in the literature and provides a rich set of parameters describing dynamic choice. We apply this model to the case of recreational fishing site choice, comparing dynamic to static versions. In natural resource damage assessment cases, static discrete choice models of recreational site choice are often employed to calculate welfare measures, which will be biased if the underlying preferences are actually dynamic in nature. In our empirical case study we find that the dynamic model provides a richer behavioral model of site choice, and reflects the actual choices very well. We also find significant differences between static and dynamic welfare measures. However, we find that the dynamic model raises several concerns about the specification of the policy impact and the subsequent welfare measurement that are not raised in static cases.Demand and Price Analysis,

The Changing of the Gods: Religion, Religious Transformation and the Indian Immigrant Experience

The Durkheimian notion that there is a close correspondence between the type of religion within a society and the structure of the society itself is now taken to be nearly axiomatic. As societies become increasingly dynamic and fragmented, however, the nexus between religion and society becomes far more complex. With globalization and widespread movements of populations struggling to maintain their identities within the contexts of both the old and new societies, changes of religion—including religious affiliation and religiosity—are inevitable. Cultural and social aspects of these changes are explored with reference to Indians migrating to the United States

Choice set formation for outdoor destinations: the role of motivations and preference discrimination in site selection for the management of public expenditures on protected areas

Effective public expenditure currently dominates the management focus of many protected areas. This calls for explicit modeling of constraints and motivations that, respectively, obstruct and stimulate visits to selected outdoor destinations. Choice set formation is the result of screening and/or inclusion of specific sites (alternatives) to form the set of sites considered in real choices. Evidence shows that the omission of a structural representation of choice set formation is harmful to econometric inference. Yet, the literature has largely ignored the underlying behavioral phenomenon. We show, using a discrete choice experiment involving selection among seven recreational sites in an Italian national park, that choice set formation is behaviorally relevant, even after controlling for preference discrimination. Motivations (why visit?) are important determinants of preliminary site screening for choice set inclusion, as well as site selection, justifying the additional value of such modeling extension

Citizen Participation in Patient Prioritization Policy Decisions: An Empirical and Experimental Study on Patients' Characteristics

Health systems worldwide are grappling with the need to control costs to maintain system viability. With the combination of worsening economic conditions, an aging population and reductions in tax revenues, the pressures to make structural changes are expected to continue growing. Common cost control mechanisms, e.g. curtailment of patient access and treatment prioritization, are likely to be adversely viewed by citizens. It seems therefore wise to include them in the decision making processes that lead up to policy changes. In the context of a multilevel iterative mixed-method design a quantitative survey representative of the German population (N = 2031) was conducted to probe the acceptance of priority setting in medicine and to explore the practicability of direct public involvement. Here we focus on preferences for patients' characteristics (medical aspects, lifestyle and socio-economic status) as possible criteria for prioritizing medical services. A questionnaire with closed response options was fielded to gain insight into attitudes toward broad prioritization criteria of patient groups. Furthermore, a discrete choice experiment was used as a rigorous approach to investigate citizens' preferences toward specific criteria level in context of other criteria. Both the questionnaire and the discrete choice experiment were performed with the same sample. The citizens' own health and social situation are included as explanatory variables. Data were evaluated using corresponding analysis, contingency analysis, logistic regression and a multinomial exploded logit model. The results show that some medical criteria are highly accepted for prioritizing patients whereas socio-economic criteria are rejected

Modelling online job search and choices of dentists in the Australian job market:Staged sequential DCEs and FIML econometric methods

Workforce participation decisions involve multiple stages: search, screening and offer evaluation. Standard econometric practice focusses on these stages in isolation. We conceptualize the focal behaviours as separate sequential decision stages, and provide a stated preference measurement framework for online job search and choice with a behaviourally consistent modelling approach. We demonstrate this approach in an empirical application of 275 dentists who completed an online survey including two Discrete Choice Experiments: the first mimicked an online job search site in which dentists decided which jobs they would apply to and the second presented dentists with a job offer which they accepted or rejected. Modelling these tasks requires a two-stage econometric model that incorporates the likelihood of application (first stage) into the job offer choice (second stage). The model detects differences in preferences (hence behaviours) across stages, facilitating the differentiation of policy aimed at search and job choice behaviours. Job screening occurs during search and the marginal propensity to apply for a job-type differs from the offer stage. We suggest that the approach presented provides a valuable way to investigate how dentists particularly, and perhaps the health workforce more generally, respond at different stages of workforce participation decisions and discuss practical implications