Refining the Concept of Political Will: A Gender Perspective

While politics are known to be prevalent at managerial levels, there is currently little insight into what drives managers to engage in organizational politics and whether there are gender differences in this respect. In the current study we explore the concept of political will by using a qualitative approach based on 14 semi‐structured interviews with managers (five men and nine women) in a global semiconductor company. We identify key dimensions of managerial political will consisting of three attitudinal ambivalences: functional, ethical and emotional. We also examine gender differences along these dimensions and discuss managers' political will in the context of a masculine organizational setting. We conclude by discussing the theoretical and practical implications of the findings and further research directions.     

Best linear unbiased and invariant estimation in location-scale families based on double-ranked set sampling

Abstract

In this article, we propose the best linear unbiased estimators (BLUEs) and best linear invariant estimators (BLIEs) for the unknown parameters of location-scale family of distributions based on double-ranked set sampling (DRSS) using perfect and imperfect rankings. These estimators are then compared with the BLUEs and BLIEs based on ranked set sampling (RSS). It is shown that under perfect ranking, the proposed estimators are uniformly better than the BLUEs and BLIEs obtained via RSS. We also propose the best linear unbiased quantile (BLUQ) and the best linear invariant quantile (BLIQ) estimators for normal distribution under DRSS. It is observed that the proposed quantile estimators are more efficient than the BLUQ and BLIQ estimators based on RSS for both perfect and imperfect orderings.     

Large sample results for tests of association ii. multinomial and stratified sampling

This paper deals with the asymptotics of a class of tests for association in 2-way contingency tables based on square forms in cell frequencies, given the total number of observations (multinomial sampling) or one set of marginal totals (stratified sampling). The case when both row and column marginal totals are fixed (hypergeometric sampling) was studied in Kulinskaya (1994), The class of tests under consideration includes a number of classical measures for association, Its two subclasses are the tests based on statistics using centralized cell frequencies (asymptotically distributed as weighted sums of central chi-squares) and those using the non-centralized cell frequencies (asymptotically normal). The parameters of asymptotic distributions depend on the sampling model and on true marginal probabilities. Maximum efficiency for asymptotically normal statistics is achieved under hypergeometric sampling, If the cell frequencies or the statistic as a whole are centralized using marginal proportions as estimates for marginal probabilities, the asymptotic distribution does not differ much between models and it is equivalent to that under hypergeometric sampling. These findings give an extra justification for the use of permutation tests for association (which are based on hypergeometric sampling). As an application, several well known measures of association are analysed.     

Service users’ involvement in social work education: focus on social change projects

ABSTRACT

This article presents and analyzes four projects focusing on diverse forms of service users’ involvement in social work training and research in different countries (Israel, Italy, Slovenia and UK). It highlights the value of service user involvement (SUI) to specific social change objectives and to social work education. The conceptual framework focused on the Standpoint Theory, while methodologically participatory action research was applied, and evaluation measures were developed. Key findings, facilitators and limitations to the involvement, students’ views of it and similarities and differences among the four projects are outlined. The challenges embedded in introducing and sustaining social change objectives in a co-production framework within social work education are identified, alongside the added value of meeting them. The differentiated impact the projects had on students is highlighted as well as their significance for health and social care providers were relevant. It is encouraging that in each project SUI was positively valued. The projects indicate the wide range of SUI in the content and format of social work education, as well as its applicability cross-culturally to a range of key issues pertaining to both training and research in social work.     

On the estimation of extreme directional multivariate quantiles

Abstract

In multivariate extreme value theory (MEVT), the focus is on analysis outside of the observable sampling zone, which implies that the region of interest is associated to high risk levels. This work provides tools to include directional notions into the MEVT, giving the opportunity to characterize the recently introduced directional multivariate quantiles (DMQ) at high levels. Then, an out-sample estimation method for these quantiles is given. A bootstrap procedure carries out the estimation of the tuning parameter in this multivariate framework and helps with the estimation of the DMQ. Asymptotic normality for the proposed estimator is provided and the methodology is illustrated with simulated data-sets. Finally, a real-life application to a financial case is also performed.     

Low‐Income Students and College Attendance: An Exploration of Income Expectations*

Objectives. Some have hypothesized that unrealistic expectations regarding their futures may explain the weak link between expectations and realizations among low‐income (particularly minority) youth. Unfortunately, there is little evidence characterizing students' expectations around the time that they make college decisions that would allow one to study this hypothesis. Methods. In this exploratory article, I analyze data on income expectations from a small sample of low‐income minority high school seniors in Baltimore City, MD; and use data from Dominitz and Manski's sample of higher‐income white students in Madison, WI, and the NELS88 for comparisons. Results. I find little evidence that the income expectations of lower‐income minority students are so different from those of higher‐income students. Rather, the expected returns to postsecondary education appear similar between the two samples of high school seniors. Analysis of a nationally representative sample of high school seniors suggests that lower‐income students do not place less weight on expected economic returns to college when making their plans than do more advantaged students, although low‐income students are less able to translate their college plans into actual college attendance. Conclusions. These results suggest that differing income expectations do not explain the weaker relationship between expectations and educational attainment among low‐income students.     

A general concept of scoring rules: general definitions,statistical inference,and empirical illustrations

We develop the general conceptual, mathematical and statistical foundations of behavioral social choice for scoring rules. Traditional scoring rules are difficult to assess empirically because one rarely observes the deterministic complete linear orders that they require as input. We provide a general concept of scoring rules in terms of a broad range of mathematical representations of preference or utility, namely arbitrary finite binary relations, probability distributions over such relations, real valued multi-criteria utility vectors and real valued random utility representations. We extend Regenwetter et al.’s (Behavioral social choice. Cambridge University Press, Cambridge, 2006) statistical framework to a more general setting. We illustrate the general modeling and statistical tools by applying them to four well known sets of survey data. We illustrate two potential problems that have previously received little attention and that deserve systematic study in the future: (1) Scoring rule outcomes can suffer from model dependence in that the social welfare functions computed from ballot, survey, or hypothetical data may depend on implicit or explicit modeling assumptions. (2) Scoring rule outcomes may suffer from low statistical confidence in that the correct assessment of social orders from empirical data can be far from certain. We also illustrate the empirical congruence among conceptually competing social choice methods.     

The gender gap in wages in Russia from 1992 to 1995

This paper examines the gender gap in wages in Russia from 1992 to 1995. It uses data on prime aged men and women from the Russia Longitudinal Monitoring Survey (RLMS) and focuses on those living in urban areas. Differences in hours of work appear to explain about one half of the gender differential, but there is still a large differential in average hourly wages between men and women. Observable differences in characteristics between men and women explain almost none of the differential or the changes through time. Received: 29 October 1997/Accepted: 24 January 2000     

Social comparison and risk taking behavior

This paper studies the effects of social comparison on risk taking behavior. In our theoretical framework, decision makers evaluate the consequences of their choices relative to both their own and their peers’ conditions. We test experimentally whether the position in the social ranking affects risk attitudes. Subjects interact in a simulated workplace environment where they perform a work task, receive possibly different wages, and then undertake a risky decision that may produce an extra gain. We find that social comparison matters for risk attitudes. Subjects are more risk averse in the presence of small social gain than social loss. In addition, risk aversion is decreasing in the size of the social gain.