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This chapter uses stated tourist preferences as a proxy of visitor yield measures, in order to analyse and understand the yield potential of different markets’ preferences. A literature review revealed that there is much progress to be made in terms of discussion, consensus and stability of methodology for the measurement of visitor yield. The aim of the visitor yield analysis, in the current chapter, is also to bring another dimension into yield analysis and discussion, contributing with a new form of measuring yield potential. Since the objective is to identify yield patterns based on tourist preferences over a period of time, dynamics may be captured from the fluctuation patterns, or expressed as volatility of visitor yield and length of stay throughout the years. Destination management organisations and tourist companies may potentially adopt this visitor yield matrix in order to support future strategic decisions.

Behavioral economics poses a challenge for the welfare evaluation of choices, particularly those that involve risk. It demands that we recognize that the descriptive account of behavior toward those choices might not be the ones we were all taught, and still teach, and that subjective risk perceptions might not accord with expert assessments of probabilities. In addition to these challenges, we are faced with the need to jettison naive notions of revealed preferences, according to which every choice by a subject expresses her objective function, as behavioral evidence forces us to confront pervasive inconsistencies and noise in a typical individual’s choice data. A principled account of errant choice must be built into models used for identification and estimation. These challenges demand close attention to the methodological claims often used to justify policy interventions. They also require, we argue, closer attention by economists to relevant contributions from cognitive science. We propose that a quantitative application of the “intentional stance” of Dennett provides a coherent, attractive and general approach to behavioral welfare economics.

What does it mean in practice to claim a right? Does claiming a right add to the persuasive power of political demands? Does it clothe political demands with a moral urgency, setting such claims apart from the ordinary class of interests? In examining these questions, I suggest that in practice rights’ claims add little to political discourse. This is because Americans equate their policy preferences with rights. I find scant evidence for the belief that Americans have sufficient knowledge of rights to make them meaningful or that pronouncements of rights have persuasive power or imbue issues with heightened moral legitimacy.

This chapter explores an aspect of voluntary childlessness that has been neglected in previous research; how voluntarily childless (i.e. childfree) women engage in partnership formation processes and how they perceive that these processes become influenced by their voluntarily childless status. Drawing on interviews with 21 voluntarily childless, heterosexual, Swedish women, this chapter highlights how their childfree decision(s) impacted their partnering behaviour, their chances to form an intimate relationship and their preferences concerning partners and partnerships. The results show some of the challenges these women faced as they engaged in partnership formation processes concerning; for example, constraints in partner availability and potentially conflicting preferences regards autonomy, reproduction and intimacy. In addition, partnership formation was complicated due to a lack of communication, misunderstandings and disbelief in their childfree choices. The analysis illustrates that it was of utmost importance to these women that their intimacy goals were respected and protected during these processes but that some of them were also willing to negotiate their partner ideal. Nevertheless, this chapter ends with a discussion of relationship dissolution due to ambivalence concerning childfree choices and intimacy goals both on behalf of the childfree woman and her partner.

The Omnibus Budget Reconciliation Act of 1993 included depositor preference legislation intended to reduce Federal Deposit Insurance Corporation (FDIC) resolution costs. However, depositor preference might induce an offsetting reaction by general creditors and may affect resolution type.

We examine the empirical impact of state-level depositor preference laws on resolution type and costs with call-report data and FDIC data for all operating FDIC-BIF insured commercial banks that were closed or required FDIC financial assistance from January 1986 through December 1992. Our major findings are that depositor preference has: (1) tended to increase resolution costs; and (2) induced the FDIC to choose assisted mergers over liquidations.

Ranked preference data arise when a set of judges rank, in order of their preference, a set of objects. Such data arise in preferential voting systems and market research surveys. Covariate data associated with the judges are also often recorded. Such covariate data should be used in conjunction with preference data when drawing inferences about judges.

To cluster a population of judges, the population is modeled as a collection of homogeneous groups. The Plackett-Luce model for ranked data is employed to model a judge's ranked preferences within a group. A mixture of Plackett- Luce models is employed to model the population of judges, where each component in the mixture represents a group of judges.

Mixture of experts models provide a framework in which covariates are included in mixture models. Covariates are included through the mixing proportions and the component density parameters. A mixture of experts model for ranked preference data is developed by combining a mixture of experts model and a mixture of Plackett-Luce models. Particular attention is given to the manner in which covariates enter the model. The mixing proportions and group specific parameters are potentially dependent on covariates. Model selection procedures are employed to choose optimal models.

Model parameters are estimated via the ‘EMM algorithm’, a hybrid of the expectation–maximization and the minorization–maximization algorithms. Examples are provided through a menu survey and through Irish election data. Results indicate mixture modeling using covariates is insightful when examining a population of judges who express preferences.

The use of behavioral insights and experimental methods has recently gained momentum among health policy-makers. There is a tendency, however, to reduce behavioral insights applications in health to “nudges,” and to reduce experiments in health to “randomized controlled trials” (RCTs). We argue that there is much more to behavioral insights and experimental methods in health economics than just nudges and RCTs. First, there is a broad and rich array of complementary experimental methods spanning the lab to the field, and all of them could prove useful in health economics. Second, there are a host of challenges in health economics, policy, and management where the application of behavioral insights and experimental methods is timely and highly promising. We illustrate this point by describing applications of experimental methods and behavioral insights to one specific topic of fundamental relevance for health research and policy: the experimental elicitation and econometric estimation of risk and time preferences. We start by reviewing the main methods of measuring risk and time preferences in health. We then focus on the “behavioral econometrics” approach to jointly elicit and estimate risk and time preferences, and we illustrate its state-of-the-art applications to health.

A core concept of work–home interface research is boundary permeability – the frequency with which elements from one domain cross, or permeate, the boundary of another domain. Yet, there remains ambiguity as to what these elements are and how these permeations impact important outcomes such as role satisfaction and role performance. The authors introduce a multidimensional perspective of work–home boundary permeability, identifying five forms of boundary permeation: task, psychological, role referencing, object, and people. Furthermore, based on the notion that employee control over boundary permeability behavior is the key to achieving role satisfaction and role performance, the authors examine how organizations’ HR practices, leadership, and norms impact employee control over boundary permeability in the work and home domains. The authors conclude with an agenda for future research.