A Study of the Determinants and of the Impact of Flexibility on Employee Benefit Satisfaction

The purpose of this study was to examine the influence of individual characteristics and organizational justice on employee benefit satisfaction, and to explore the role of flexible benefit plans. Employees from three Canadian organizations were surveyed. A total of 285 usuable questionnaires were returned, for a response rate of 42%. The variables in the model accounted for more than 40% of the variance in benefit satisfaction. The findings showed that while distributive and procedural justice were useful in predicting benefit satisfaction, the concept of process justice had the greatest effect on satisfaction. Among the variables, communication had the greatest impact. The effect of flexibility, although significant, was ambiguous. Sociodemographic factors had a very limited effect when perceptual variables were introduced into the equation. The paper also sets out the limitations of the study and its practical implications, and makes some suggestions for future research.     

Dynamic models for spatiotemporal data

We propose a model for non-stationary spatiotemporal data. To account for spatial variability, we model the mean function at each time period as a locally weighted mixture of linear regressions. To incorporate temporal variation, we allow the regression coefficients to change through time. The model is cast in a Gaussian state space framework, which allows us to include temporal components such as trends, seasonal effects and autoregressions, and permits a fast implementation and full probabilistic inference for the parameters, interpolations and forecasts. To illustrate the model, we apply it to two large environmental data sets: tropical rainfall levels and Atlantic Ocean temperatures.     

Quality of Life in Jasper,Alberta

This paper describes and explains citizen beliefs andattitudes about the quality of life in Jasper, Albertain the summer of 1997. We report on 447 surveyrespondents' satisfaction with a wide variety ofaspects of their community and their lives, the bestand worst things about living in Jasper, and thethings they would change first to improve the qualityof their lives. There was not much enthusiasm foruse-fees or the value received from tax dollars.Fifteen new indices of satisfaction with fundamentalaspects of people's lives were created. Happiness,life satisfaction and overall satisfaction with thequality of life were explained from a limited set of14 variables, providing comparisons with results fromseven other surveys taken over nearly 20 years.Finally, we used a simple linear model to account for63% of the variance in life satisfaction scores, 44%of the variance in satisfaction with the quality oflife scores and 37% of the variance in happinessscores.     

Asset Markets and Equilibrium Selection in Public Goods Games with Provision Points: An Experimental Study

We report experimental results on the effects that auctioning the right to play a public goods game with a provision point may have on equilibrium selection and individual behavior. Auctioning off such a right among a larger population of players strikingly enhances public good provision. Once public good provision is obtained, the auction price at the preliminary stage increases to its upper limit, dissipating all players' gains associated with the provision of the public good. Individual deviations from the equilibrium strategy are neither able to force lower market prices nor to affect provision of the public good in subsequent periods. (JEL C72 , C92 , H41 )     

When Past Reforms Open New Opportunities: Comparing Old-age Insurance Reforms in Bismarckian Welfare Systems

France, Italy, Germany, Austria and Spain have all gone through several waves of pension reforms both in the 1990s and in the early 2000s. Comparing the politics of these reforms shows some similar trends: reforms were usually postponed until European integration and/or economic recession forced governments to act. Before the first wave of reforms, the main form of ‘action’ had been to increase payroll taxes to finance pensions. In the 1990s, reforms were usually negotiated on the basis of a quid pro quo: benefits were intended progressively to decrease in exchange for non-contributory pensions being financed from general tax revenues instead of through the insurance schemes. The second wave of reforms (during the 2000s) seems to have brought more innovation, with new goals such as the development of voluntary private pension funds and the need to increase employment rates among the elderly and to stop early retirement. The article aims, first, to trace the political processes leading to these reforms; second, to reveal the commonalities in these processes between the various cases; and third, to highlight the differences between the first and second waves of pension reform. It will emphasize the role of ‘sequencing’ and demonstrate how each pension reform facilitates the adoption of the next one.     

Health and Other Aspects of the Quality of Life of Older People

Celebrating the United Nations' International Year of Older Persons, in September 1999 a survey research project was undertaken throughout the Northern Interior Health Region (NIHR) of British Columbia. A total of 875 people completed 23-page questionnaires, the average age of the respondents was 69 and the range ran from 55 to 95 years. Responses to the SF-36 questionnaire indicated that for male respondents aged 55–64, the mean score for the 8 dimensions was 74.4. This mean was practically identical to that of the United States norm for such people (74.5) and lower than that for the United Kingdom (77.4). For male respondents aged 65 and older, the mean was 68.3. This was numerically higher but again practically the same as that of the norm for the United States (68.1). For females aged 55–64, the mean score for 8 dimensions was 73. This was superior to that of the United States norm of (70.6) for such people and lower than that for the United Kingdom (74.6). For female respondents aged 65 and older, the mean score was 65.4. This was practically identical to that of the United States (65.5).Comparing 18 average figures for our respondents on satisfaction with specific domains of life (e.g., financial security, health, friendships) and life as a whole with those of average adults in Prince George in November 1999, we found that in all but two cases the older people's scores were higher. Only in the cases of satisfaction with health and overall happiness were older people's scores lower, and the differences were not statistically significant.Eleven percent of our respondents reported that they had been a victim of a crime in the last year, compared to 38% in our 1997 adult victimization survey. Older people had a more benign view than ordinary adults of the growth of crime in their neighbourhood and city, although exactly 64% of both groups thought that crime had increased in Canada. Although older people had a more optimistic view than other adults of the increase in crime in their neighbourhoods, fewer of the former than the latter felt safe out at night. Nevertheless, compared to adults surveyed in 1997, the behaviour of respondents in our survey of older people was not as constrained by concerns of criminal victimization.Two or three of the 8 SF-36 health dimensions explained 37% of the variation in life satisfaction scores, 34% of variation in happiness scores, 34% in satisfaction with the overall quality of life scores and 22% in satisfaction with one's overall standard of living. In every case, Mental Health was the dimension that had the greatest impact on our four dependent variables.When all of our potential predictors were entered into a regression equation simultaneously, we found that they could explain 60% of the variance in life satisfaction scores, 44% in happiness scores, 58% in satisfaction with the overall quality of life scores and 59% in satisfaction with one's overall standard of living scores.     

The Dimensionality and Gender Differential Item Functioning of the Mini Asthma Quality of Life Questionnaire (MiniAQLQ)

The present study investigated the factorstructure and item analysis of the Mini AsthmaQuality of Life Questionnaire (MiniAQLQ) in asample of 258 community-dwelling asthmaticadults between the ages of 16 and 87 years. The mean age was 56 years for males (N = 99) and50 years for females (N = 159). This studycompared the fit of three factor solutionsusing a maximum likelihood confirmatory factoranalysis. Based on the fit indices, supportwas found for a hierarchical factor structurewith a second-order factor of quality of lifeand four first-order factors of symptoms,activity limitation, emotional function andenvironmental stimuli. Given that the data fitan essentially unidimensional model, genderdifferential item functioning (DIF) wasexplored using Zumbo's (1999) ordinal logisticregression method with corresponding logisticregression effect size estimators. Aftermatching males and females on the underlyingvariable of quality of life, gender DIF wasfound on the cigarette smoke and weather or air pollution items. Thesefindings indicate that gender influences how anindividual endorses these particular items onthe MiniAQLQ.     

Determinants of Health and the Quality of Life in the Bella Coola Valley

The aim of this investigation is to obtain some baseline self-reported data on the health status and overall quality of life of all residents of the Bella Coola Valley of British Columbia aged 17 years or older, and to measure the impact of a set of designated health determinants on their health and quality of life. In the period from August to November 2001, a variety of procedures were used to ensure that all eligible residents of the Valley received a copy of our questionnaire, and 687 useable questionnaires were obtained for our working dataset. Health status was measured by SF-36 and the U.S. Centers for Disease Control healthy days items. Thirty-one items were used to measure the Provincial Health Officer’s designated determinants of health in four clusters, namely, biological, social and economic, health behaviours and health services determinants. Quality of life was measured by satisfaction levels in 13 specific domains of life (e.g., family, financial security), four global items (e.g., happiness, life satisfaction) and one global Subjective Well-Being Index. Besides obtaining baseline figures on all our measures for the Valley, we made some comparisons among our figures and those from other areas, e.g., Prince George, BC. Most of the measures indicated that the health status and quality of life of Bella Coola Valley residents were lower than those of Prince George residents. For the sample as a whole, SF-36 scores on the eight dimensions ran from 82.3 (physical functioning) to 50.0 (social functioning), with a mean of 62.7. Residents in the Valley averaged 6.5 days in the past 30 in which their health was physically not good, 5.5 days when it was mentally not good and 4.1 days when their health limited their usual daily activities. Eleven percent of respondents described their general health as “excellent” and another 27% said it was “very good”. On a 7-point scale from 1=very dissatisfied to 7=very satisfied, respondents had average life satisfaction and satisfaction with the overall quality of life scores of 5.5. For specific domains of life, the lowest mean level of satisfaction was reported for federal and provincial government officials (3.3) and the highest was reported for living partners and personal safety around home (5.8). Regarding bivariate relations, each of the eight dimensions of SF-36 was significantly correlated with a single item measure of general health, and five of the eight were significantly correlated with the number of good health days. Happiness and the Subjective Well-Being Index were positively but moderately correlated with six of the eight dimensions, and life satisfaction was positively correlated with five. Age was negatively related to general health, but positively related to life satisfaction. Not being of aboriginal descent was positively related to all of the four global health indicators and to the Subjective Well-Being Index. Education was positively related to the four global health measures but not to the three global quality of life measures. The Social Support and Good Family Indexes were positively related to all seven global measures. There was a positive correlation between six of the seven global measures and the frequency with which respondents participated in activities sponsored by voluntary organizations. Frequency of smoking was negatively associated with every global dependent variable except the Physical Health Index. Frequency of skipping meals was negatively associated and average hours of sleep per night was positively associated with all seven global measures. Turning to multivariate relationships, the four clusters of health determinants explained from 12% (SF-36 Mental Health Index) to 24% (general health) of the variance in the dependent global health variables, and from 20% (happiness) to 26% (Subjective Well-Being Index) of the variance in the dependent global quality of life variables. Adding domain satisfaction scores to the total set of predictors allowed us to explain from 20% (SF-36 Mental health Index) to 29% (general health) of the variance in the dependent global health variables, and from 39% (happiness) to 62% (life satisfaction) in the dependent global quality of life variables. By including measures of social support and good family relationships in our set of health determinants, we practically guaranteed that the latter would be relatively strongly predictive of global quality of life.     

Investigation of mixed model repeated measures analyses and non‐linear random coefficient models in the context of long‐term efficacy data

The longitudinal data from 2 published clinical trials in adult subjects with upper limb spasticity (a randomized placebo‐controlled study [NCT01313299] and its long‐term open‐label extension [NCT01313312]) were combined. Their study designs involved repeat intramuscular injections of abobotulinumtoxinA (Dysport®), and efficacy endpoints were collected accordingly. With the objective of characterizing the pattern of response across cycles, Mixed Model Repeated Measures analyses and Non‐Linear Random Coefficient (NLRC) analyses were performed and their results compared. The Mixed Model Repeated Measures analyses, commonly used in the context of repeated measures with missing dependent data, did not involve any parametric shape for the curve of changes over time. Based on clinical expectations, the NLRC included a negative exponential function of the number of treatment cycles, with its asymptote and rate included as random coefficients in the model. Our analysis focused on 2 specific efficacy parameters reflecting complementary aspects of efficacy in the study population. A simulation study based on a similar study design was also performed to further assess the performance of each method under different patterns of response over time. This highlighted a gain of precision with the NLRC model, and most importantly the need for its assumptions to be verified to avoid potentially biased estimates. These analyses describe a typical situation and the conditions under which non‐linear mixed modeling can provide additional insights on the behavior of efficacy parameters over time. Indeed, the resulting estimates from the negative exponential NLRC can help determine the expected maximal effect and the treatment duration required to reach it.     

Work,social protection and the middle classes: What future in the digital age?

The digitalization of the economy can be interpreted as an industrial revolution, a series of technological innovations associated with new practices and new business models. As for previous industrial revolutions, a phase involving the destruction of existing systems and structures is driving a profound transformation of the world of work and the development of new sectors of activity and new jobs, including changes in the labour market and in the types of jobs created. This puts into question the position of the middle classes, and presents new challenges for social protection. This article seeks to understand the impacts of digital technology on the economy and employment, including the phenomena of labour market polarization. It describes the new forms of employment and work and analyses the social risks and the likely ramifications for the middle classes in the digital age. In turn, new possibilities for social protection in the digital age are discussed. The article concludes that there is a need to re‐evaluate jobs that involve the provision of personal and care services, including to support social investment, to strengthen the future prospects of the weakened middle classes.