The Relationship Between Corporate Volunteering and Employee Civic Engagement Outside the Workplace in Russia

This paper discusses the relationship between corporate volunteering and civic engagement outside the workplace in Russia, proceeding from a mixed-method approach. The quantitative findings are based on a comparison between employees in 37 Russian companies who participated in corporate volunteering (N = 399) and those who did not (N = 402). Using binary logistic regression analysis, we demonstrate that employee participation in corporate volunteering is positively related to four forms of civic engagement outside the workplace: informal volunteering, formal volunteering, formal monetary donation, and informal monetary donation. In addition, we draw on information obtained from interviews with 10 corporate volunteers, as well as with all 37 company corporate volunteering managers, to develop a general explanation for why corporate volunteering might lead to civic engagement. We identify three primary explanations. First, trust in companies can be converted into increased trust in social institutions. Second, corporate volunteering can expose employees to other realities, thereby leading them to rethink their priorities. Third, corporate volunteering socializes employees to volunteering, thus making them more likely to incorporate volunteering into their personal repertoires of activities. Corporate volunteering appears to be an effective mechanism for stimulating civic engagement and volunteering infrastructure in post-communist countries.     

Influence of Perceived Economic Strain on the Relationship Between Caregiver BMI and Child BMI

As maternal BMI is a risk factor for higher child BMI, this exploratory study investigated perceived economic strain as a protective factor modifying this well-established relationship. Primary low-income female caregivers (n = 432) of preschoolers ages 3–5 years were interviewed using the Family Economic Strain Scale. Caregiver and child heights and weights were measured. Significant differences were found in perceived economic strain between normal versus underweight, overweight, and obese caregivers. A moderating effect approaching significance was noted such that at low levels of reported economic strain, caregiver BMI classification had no effect on child BMI z-score for normal weight, overweight, or obese caregivers. This study is the first to demonstrate that reduced perception of economic strain may act to buffer the impact of maternal overweight/obesity on child weight status. Given this biologically strong relationship, the potential for any modifiable factor to be detected is encouraging. Further collaborative research between economists and family resiliency researchers is suggested.     

Emergency Saving and Household Hardship

Households with limited income and wealth often struggle to access the financial liquidity needed to address unexpected expenses or income drops. Emergency savings can act as form of insurance against such economic shocks and reduce the risk of hardships that influence family wellbeing. Prior research has established that threshold amounts of liquid assets can reduce the risk of economic hardship. This study used a measure of self-reported emergency saving behavior to examine whether households who reported saving for emergencies were less likely to experience subsequent economic hardships in a longitudinal sample of households in disadvantaged neighborhoods from the Annie E. Casey Foundation’s Making Connections project. Results across a range of regression models suggest that households who saved for emergencies experienced slightly less overall hardship and were less likely to report several specific hardships, such as food insecurity and having a phone disconnected, three years later. This study supports the idea that small, unrestricted savings may play a protective role for low-income households.     

Modeling Demand For Unionization With Nontraditional Data Analysis Methods

Upon reviewing the extant literature on determinants of unionism, it becomes clear that many areas that have had a plethora of research attention do not converge upon singularly directional findings. This study explores a potential cause of such an apparent anomaly: nonlinearity of data. An exploratory examination of correlation coefficients among typical union determinant variables seems to show different patterns of relationships at different levels of union demand. Thus, a break from traditional linear data analysis techniques is explored in the interest of explaining more variance with typical, theoretically derived variables by using neural network analysis. Results of analyses on industry level data reveal that using neural network analysis to model union demand explained over four times as much variance as multiple regression analysis.     

Disagreement over the immigration of low-income earners in a welfare state

This paper studies natives’ economically motivated preferences over different levels of immigration of low-income earners. Immigration affects natives through both intra- and intergenerational redistribution programmes and in the labour market. Our analysis suggests, in a welfare state that looks after the poor and the aged, economic motivation does not necessarily lead a native to have an extreme opinion on the preferable level of immigration, although it causes disagreement among natives. We find, regardless of parameter values, high-income earners prefer at least as much immigration as low-income earners who, in turn, prefer at least as much immigration as pensioners. The median voter is then likely to be a low-income native.

Use of Poset Theory with Big Datasets: A New Proposal Applied to the Analysis of Life Satisfaction in Italy

The aim of this work is to propose a tool for measuring a complex concept, and to apply it to big sets of data measured on ordinal and/or dichotomous scales. An important field of application are subjective data, that are often based on opinions or personal evaluations. Many national and international surveys employ this kind of data, measured among thousand of individuals. Thanks to the use of the “average rank” as a synthetic measure of a complex concept, we believe that poset theory could be a very useful approach for dealing with ordinal data avoiding the use of scaling procedures. Because classic poset approaches are at their best when applied to few data at a time, our idea is based on a procedure for sampling units from a big population using a simple criterion to summarize the resulting values appropriately. Applying the central limit theorem enables a comparison of the results obtained from different groups using statistical tests on the means. We used our Height of Groups by Sampling (HOGS) method to compare the average rank among groups that are defined by one or more socio-demographic variables influencing the level of the complex concept we wish to measure. The application of the HOGS procedure to life satisfaction in Italy generated convincing results, revealing significant differences between regions, genders and levels of formal education. We compared the results given by HOGS with the non linear principal component analysis and obtain an easy readable output with convincing precision and accuracy; we are confident that the HOGS procedure can be applied to many other concepts investigated in the social sciences.     

The division problem with voluntary participation

The division problem consists of allocating a given amount of a homogeneous and perfectly divisible good among a group of agents with single-peaked preferences on the set of their potential shares. A rule proposes a vector of shares for each division problem. The literature has implicitly assumed that agents will find acceptable any share they are assigned to. In this article we consider the division problem when agents’ participation is voluntary. Each agent has an idiosyncratic interval of acceptable shares where his preferences are single-peaked. A rule has to propose to each agent either to not participate or an acceptable share because otherwise he would opt out and this would require to reassign some of the remaining agents’ shares. We study a subclass of efficient and consistent rules and characterize extensions of the uniform rule that deal explicitly with agents’ voluntary participation.     

Strategy-proof and anonymous rule in queueing problems: a relationship between equity and efficiency

We consider a relationship between equity and efficiency in queueing problems. We show that under strategy-proofness, anonymity in welfare implies queue-efficiency. Furthermore, by combining the result of Kayı and Ramaekers (Games Econ Behav 68:220–232, 2010) with ours, we also give a characterization of the class of rules that satisfy strategy-proofness, anonymity in welfare, and budget-balance.     

Balanced consistency and balanced cost reduction for sequencing problems

We investigate the implications of balanced consistency and balanced cost reduction in the context of sequencing problems. Balanced consistency requires that the effect on the payoff from the departure of one agent to another agent should be equal between any two agents. On the other hand, balanced cost reduction requires that if one agent leaves a problem, then the total payoffs of the remaining agents should be affected by the amount previously assigned to the leaving agent. We show that the minimal transfer rule is the only rule satisfying efficiency and Pareto indifference together with either one of our two main axioms, balanced consistency and balanced cost reduction.