What makes you click?—Mate preferences in online dating

We estimate mate preferences using a novel data set from an online dating service. The data set contains detailed information on user attributes and the decision to contact a potential mate after viewing his or her profile. This decision provides the basis for our preference estimation approach. A potential problem arises if the site users strategically shade their true preferences. We provide a simple test and a bias correction method for strategic behavior. The main findings are (i) There is no evidence for strategic behavior. (ii) Men and women have a strong preference for similarity along many (but not all) attributes. (iii) In particular, the site users display strong same-race preferences. Race preferences do not differ across users with different age, income, or education levels in the case of women, and differ only slightly in the case of men. For men, but not for women, the revealed same-race preferences correspond to the same-race preference stated in the users’ profile. (iv) There are gender differences in mate preferences; in particular, women have a stronger preference than men for income over physical attributes.     

强迫为储蓄之母

去年6月在智利,我有机会和该国新计划部长Felipe Kast及他的一些朋友相处。我们谈论的主题之一,就是智利的退休储蓄计划。     

The burden of preserved ejection fraction heart failure in a real-world Swedish patient population

Objectives:

To evaluate resource use and associated costs in patients with a diagnosis of heart failure with preserved ejection fraction (HF-PEF) in Sweden.

Methods:

This retrospective study identified real-world patients with an ICD-10 diagnosis code for heart failure (I50) for the period between July 1, 2005 and December 31, 2006 from electronic medical records of primary care centers in Uppsala County Council, and in the Swedish patient registry data. Patients were categorized as having HF-PEF (left ventricle ejection fraction [LVEF] > 50%) during the index period. The study assessed medication utilization, outpatient visits, hospitalizations, and associated healthcare costs, as well as the incidence rates and time to all-cause and heart failure mortality following the index period.

Results:

The study included 137 HF-PEF patients with a mean age of 77.1 (SD?=?9.1) years. Over 50% of HF-PEF patients were female and hypertensive. Nearly all patients received ≥1 medication post-index. Patients had an average of 1.5 heart failure related hospitalizations per follow-up year. The average annual per patient cost for the management of a HF-PEF patient was found in Sweden to be Swedish Krona (SEK) 108,246 (EURO [EUR] 11,344). Hospitalizations contributed to more than 80% of the total cost. All-cause mortality over the 18-month study period was 25.5%, and more than 50% of these deaths occurred within 1 year of index.

Limitations:

Due to the limitations of registry data, it is not possible to confirm the HF diagnosis, and therefore the accuracy of registry records must be assumed. Other factors such as short follow-up time, the study-mandated LVEF assessment, and a lack of drug duration data may also have an impact on the study results.

Conclusions:

All-cause mortality was high in the HF-PEF population, with more than half of patients dying within 1 year of study follow-up. Study results also indicate that 60% of HF-PEF patients have ≥1 hospitalization during follow-up. Hospitalizations, especially heart failure related admissions, represent a substantial proportion of the total healthcare burden of patients with HF-PEF in Sweden.     

Agents to the Rescue?

The advent of electronic environments is bound to have profound effects on consumer decision making. While the exact nature of these influences is only partially known it is clear that consumers could benefit from properly designed electronic agents that know individual users' preferences and can act on their behalf. An examination of the various roles agents perform is presented as a framework for thinking about the design of electronic agents. In addition, a set of goals is established that include both outcome-based measures, such as improving decision quality, as well as process measures like increasing satisfaction and developing trust.     

Psychology, Behavioral Economics, and Public Policy

Economics has typically been the social science of choice to inform public policy and policymakers. In the current paper we contemplate the role behavioral science can play in enlightening policymakers. In particular, we provide some examples of research that has and can be used to inform policy, reflect on the kind of behavioral science that is important for policy, and approaches for convincing policy-makers to listen to behavioral scientists. We suggest that policymakers are unlikely to invest the time translating behavioral research into its policy implications, and researchers interested in influencing public policy must therefore invest substantial effort, and direct that effort differently than in standard research practices.     

Consuming together (versus separately) makes the heart grow fonder

Marketing Letters - Across three studies, we investigate how consumers in romantic relationships make decisions when choosing an item to share with their partner. We show that consumers will forgo...     

How behavioral decision research can enhance consumer welfare: From freedom of choice to paternalistic intervention

Decision-making researchers have largely focused on showing errors and biases in consumers' decision-making processes without paying much attention to the social welfare and policy implications of these systematic behaviors. In this paper, we explore how findings and methods in behavioral decision research can be used to help consumers improve their decision making and enhance their well-being. We first review select findings in behavioral decision research to explain why consumers need help in decisions, and based on these findings, suggest various interventions that could be effective within the scope of libertarian paternalism. Ethics and effectiveness of the interventions are also discussed.