Lottomania and other anomalies in the market for lotto

This research is concerned with the determination of the demand for “lotto” in Israel. While an important focus of our research is upon the effects on the demand for lotto of ticket pricing and jackpot announcements, we also investigate several empirical phenomena that are apparently inconsistent with expected utility theory. These include an effect we call “lottomania” which is induced by rollover, and “prize fatigue” when the jackpot does not increase. Another aberration from expected utility theory is that the underlying odds of winning have no measurable effect on sales.     

Inequality measurement and the time structure of household income in Israel

The aim of this paper is to empirically evaluate the effect of the length of the accounting period on indices of inequality of household income in Israel. There are three main findings: (1) The analysis of the impact of the accounting period on the Gini index of inequality can be done in a way which is identical to analyzing the effect of the accounting period on the coefficient of variation; (2) changing the accounting period from one to three months decreases, on average, the Gini index of inequality by about 1.7%. Furthermore, the Gini index calculated from a three-month accounting period was 3.9%–4.1% higher than the index based on a 12-month period. The change in the accounting period from 12 months to three months accounts for 27% to 37% of the increase in inequality in the last two decades, depending on the type of income considered. (3) The above relationship is stable over the years but is sensitive to the definition of income.     

Double Sampling Designs in Multivariate Linear Models with Missing Variables

We provide a method for finding the optimal double sampling plan for estimating the mean value of a continuous outcome. It is assumed that the fallible and true outcome data are related by a multivariate linear regression model where only some of the explanatory variables are sampled. Conditions under which double sampling is preferred over standard sampling plans are determined. An application of the method to a well-known data set on air pollution is presented.     

Rank-one multi-reference factor analysis

Statistics and Computing - Bayesian variable selection is an important method for discovering variables which are most useful for explaining the variation in a response. The widespread use of this...     

Bayesian identifiability and misclassification in multinomial data

The authors consider the Bayesian analysis of multinomial data in the presence of misclassification. Misclassification of the multinomial cell entries leads to problems of identifiability which are categorized into two types. The first type, referred to as the permutation‐type nonidentifiabilities, may be handled with constraints that are suggested by the structure of the problem. Problems of identifiability of the second type are addressed with informative prior information via Dirichlet distributions. Computations are carried out using a Gibbs sampling algorithm.     

Zero Feet Away: The Digital Geography of Gay Social Media

ABSTRACT

For this contribution to the “Cartographies” section of the special issue on “Mapping Queer Bioethics,” the author focuses on the terrains of digital media, geosocial networking, and sexually based social media in LGBT communities. Addressing the communal potentials and ethical complications of geosocial connections made possible by such sexually based social media, the author asks whether digital forms of cartography via applications such as Grindr and Scruff simplify, complicate, or merely expose historically longstanding notions of queer interconnectivity.     

Anxiety/Depression and Hostility/Suspiciousness in Adolescent Boys: Testing Adherence to Honor Code as Mediator of Callousness and Attachment Insecurity

Research of psychological distress (PD) needs to differentiate between anxiety/depression and hostility/suspiciousness, which are associated with different motivational systems. In this study, structural equation modeling was used to test two hypothesized models for the prediction of each facet of PD. Hypotheses were proposed about the effects of callousness and attachment insecurity, and the mediating role of adherence to honor code (AHC), with respect to each PD facet. AHC was defined by the endorsement of honor culture attitudes. The sample included 136 adolescent boys from high‐ and low‐level Israeli schools. The results supported the differentiation between two PD models. AHC mediated the prediction of hostility/suspiciousness by callousness and attachment insecurity. Age and attachment insecurity predicted anxiety/depression. However, AHC and callousness did not predict anxiety/depression.