Unconditional empirical likelihood approach for analytic use of public survey data

Modeling survey data often requires having the knowledge of design and weighting variables. With public-use survey data, some of these variables may not be available for confidentiality reasons. The proposed approach can be used in this situation, as long as calibrated weights and variables specifying the strata and primary sampling units are available. It gives consistent point estimation and a pivotal statistics for testing and confidence intervals. The proposed approach does not rely on with-replacement sampling, single-stage, negligible sampling fractions, or noninformative sampling. Adjustments based on design effects, eigenvalues, joint-inclusion probabilities or bootstrap, are not needed. The inclusion probabilities and auxiliary variables do not have to be known. Multistage designs with unequal selection of primary sampling units are considered. Nonresponse can be easily accommodated if the calibrated weights include reweighting adjustment for nonresponse. We use an unconditional approach, where the variables and sample are random variables. The design can be informative.     

Fair Production and Allocation of an Excludable Nonrival Good

We study fairness in economies with one private good and one partially excludable nonrival good. A social ordering function determines for each profile of preferences an ordering of all conceivable allocations. We propose the following Free Lunch Aversion condition: if the private good contributions of two agents consuming the same quantity of the nonrival good have opposite signs, reducing that gap improves social welfare. This condition, combined with the more standard requirements of Unanimous Indifference and Responsiveness, delivers a form of welfare egalitarianism in which an agent's welfare is measured by the quantity of the nonrival good that, consumed at no cost, would leave her indifferent to the bundle she is assigned.     

Unmet Needs for Assistance with ADLs and IADLs: A Measure of Healthy Life Expectancy

Measures of healthy life expectancy have beendeveloped over the last thirty years to evaluate thequality of life of an increasing life expectancy.These measures are usually accounting for prevalencerates of either disability or physical dependence inperforming everyday activities. Although they allowfor a better assessment of quality of life, they arenot reflecting the fact that a disabled person mightbe receiving adequate or inadequate assistance forthese activities. In a context of population aging,where our health care system will have to deal moreand more with chronic disease instead of acutedisease, it is imperative to develop a measure thatwill account for the adequacy of the assistanceprovided to the disabled elderly population. Usingdata from the 1986 Health and Activity LimitationSurvey, we are introducing a measure of healthy lifeexpectancy which will fill this gap. We present theconstruction of this measure of population health anddiscuss its usefulness in assessing policies at amacro level.     

Rationalizability of choice functions on general domains without full transitivity

The rationalizability of a choice function by means of a transitive relation has been analyzed thoroughly in the literature. However, not much seems to be known when transitivity is weakened to quasi-transitivity or acyclicity. Such weakenings are particularly relevant in the context of social choice. We describe the logical relationships between the different notions of rationalizability involving, for example, the transitivity, quasi-transitivity, or acyclicity of the rationalizing relation. Furthermore, we discuss sufficient conditions and necessary conditions for rational choice on arbitrary domains. Transitive, quasi-transitive, and acyclical rationalizability are fully characterized for domains that contain all singletons and all two-element subsets of the universal set.     

Lottery Decisions and Probability Weighting Function

This article analyzes the implications of basic lottery tests for the probability weighting function w(p). We first show that the w(p) function with one argument cannot accommodate three basic tests of lottery choice. We also discuss in detail the links between the w(p) function with one argument and the preference reversal paradox. In the last section we propose an evaluation function that accommodates the restrictions imposed by the tests and we provide an example of such function.     

Kinect-based choice reaching and stepping reaction time tests for clinical and in-home assessment of fall risk in older people: a prospective study

Background

Quick protective reactions such as reaching or stepping are important to avoid a fall or minimize injuries. We developed Kinect-based choice reaching and stepping reaction time tests (Kinect-based CRTs) and evaluated their ability to differentiate between older fallers and non-fallers and the feasibility of administering them at home.

Methods

A total of 94 community-dwelling older people were assessed on the Kinect-based CRTs in the laboratory and were followed-up for falls for 6 months. Additionally, a subgroup (n?=?20) conducted the Kinect-based CRTs at home. Signal processing algorithms were developed to extract features for reaction, movement and the total time from the Kinect skeleton data.

Results

Nineteen participants (20.2 %) reported a fall in the 6 months following the assessment. The reaction time (fallers: 797?±?136 ms, non-fallers: 714?±?89 ms), movement time (fallers: 392?±?50 ms, non-fallers: 358?±?51 ms) and total time (fallers: 1189?±?170 ms, non-fallers: 1072?±?109 ms) of the reaching reaction time test differentiated well between the fallers and non-fallers. The stepping reaction time test did not significantly discriminate between the two groups in the prospective study. The correlations between the laboratory and in-home assessments were 0.689 for the reaching reaction time and 0.860 for stepping reaction time.

Conclusion

The study findings indicate that the Kinect-based CRT tests are feasible to administer in clinical and in-home settings, and thus represents an important step towards the development of sensor-based fall risk self-assessments. With further validation, the assessments may prove useful as a fall risk screen and home-based assessment measures for monitoring changes over time and effects of fall prevention interventions.

     

The influence of student characteristics and interpersonal teacher behaviour in the classroom on student’s wellbeing

Student wellbeing can be considered a major output indicator of quality of education. A positive classroom climate can contribute to a higher sense of wellbeing. Interpersonal relationships between teachers and students are an important aspect of the classroom climate. This study investigated how student wellbeing was predicted by student characteristics, interpersonal teacher behaviour and achievement. 594 students from 55 classes in 13 technical and vocational secondary schools were involved in this study. The results indicated that those students who attended school because they were highly motivated learners reported a higher sense of wellbeing than those who attended out of a sense of duty. It also appeared that student perception of interpersonal teacher behaviour predicted student wellbeing. As a case in point, when students viewed their language teacher as tolerant yet exacting discipline, a positive relationship was found with student wellbeing. Students also felt better when their mathematics teachers were less authoritarian, but the cooperative component was still important.     

Risk-taking behavior in gamblers and non-gamblers during prolonged exposure

Most comparisons between personality traits of gamblers and non-gamblers have yielded no significant differences (Kusyszyn & Rutter, 1985). But from a behavioral standpoint, gamblers have consistently placed heavier monetary bets than non-gamblers. Furthermore, past researchers have clearly shown that the level of risk-taking behavior increased as a function of the number of trials (Ladouceur, Tourigny, & Mayrand, in press). The present research compared the level of risk-taking behavior of gamblers and non-gamblers during prolonged exposure to American roulette (four sessions of 50 trials each). Subjects of each group (N=8) were matched on sex, age and academic level. Risk behavior was operationally defined as 1. Total amount of money bet at each trial; 2. types of bets; and 3. monetary risk coefficient. The statistical analysis of the results showed that the monetary risk coefficient was greater for the gamblers than the non-gamblers. Furthermore, for the three dependent variables, risk level increased as a function of the number of sessions and of trials. The overall results confirmed that exposure to gambling activities increased the level of monetary risk-taking behavior in gamblers and non-gamblers.Part of this paper was presented at the Sixth National Conference on Gambling and Risk-Taking, Atlantic City, 1984. This research was supported by a grant from the Gouvernement du Québec (FCAR).     

Lottery qualities

The aim of this paper is to propose a model of decision-making for lotteries. Lottery qualities are the key concepts of the theory. Qualities allow the derivation of optimal decision-making processes and are taken explicitly into account for lottery evaluation. Our contribution explains the major violations of the expected utility theory for decisions on two-point lotteries and shows the necessity of giving explicit consideration to lottery qualities. Judged certainty equivalent and choice certainty equivalent concepts are discussed in detail along with the comparison of lotteries. Examples are provided by using different test results in the literature. JEL Classification D81