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The purpose of this paper is to investigate the relationship between educational mismatch and labor earnings in Brazil, taking into account individual fixed effects.

The empirical analysis employs longitudinal data and information provided by job analysts about the schooling required for each occupation. The latter of which is used to classify workers as undereducated, overeducated, or adequately matched. Estimates include individual fixed effects to control for time-invariant unobserved heterogeneity.

Evidence indicates that one more year of overeducation increases labor earnings, but only half as strong as one more year of required schooling. The estimated effects on years of undereducation are negative, but undereducated workers earn more than adequately matched workers with the same level of education. Although, in particular, the incidence of undereducation in Brazil is much higher than reported for developed countries, the impact of over- and undereducation does not differ.

The fixed effects approach only controls for unobservable factors that are time-invariant. Also, much lower impacts using fixed effects may be due in part to attenuation bias as a consequence of measurement errors.

This study contributes to the scarce literature on the consequences of overeducation and undereducation for labor earnings in developing countries, providing estimates that take into account individual fixed effects.

The purpose of this paper is to describe level of education and return to school and employment among children and young adults who sustained a Traumatic brain injury (TBI) 15 years ago and to analyse the occurrence of any medical disability.

The study is descriptive. The authors used a questionnaire with questions covering education, employment, sick leave, insurance compensation and medical follow-up.

A total of 37 individuals, 17 (45.9 per cent) women and 20 (54.1 per cent) men, participated. Just over half (20 individuals, 54.1 per cent) were in employment, five (13.5 per cent) were unemployed and four (10.8 per cent) received disability pension. In total, 18 (48.6 per cent) individuals had received full compensation from their insurance companies, while 12 (35.3 per cent) had had their medical disability classified. A total of 12 (33.3 per cent) individuals were taking medication and five (13.9 per cent) had been followed by the health care system. The results indicate that people sustaining a TBI are less successful on the labour market than the general population, that relatively few had had their disability classified and that almost 50 per cent receive no insurance compensation.

There are few long-term follow-up studies on brain injuries acquired during childhood, and this study would add to the previous knowledge, as aspects of medical disability and legal compensation are included.

This paper seeks to shed further light on the native‐migrant differences in economic outcomes. The aim is to investigate labor market reintegration, patterns of job search, and reservation wages across unemployed migrants and natives in Germany.

The paper is based on the IZA Evaluation Dataset, a recently collected rich survey of a representative sample of entrants into unemployment in Germany. The data include a large number of migration variables, allowing us to adapt a recently developed concept of ethnic identity: the ethnosizer. The authors analyze these data using the OLS technique as well as probabilistic regression models.

The results indicate that separated migrants have a relatively slow reintegration into the labor market. It can be argued that this group exerts a relatively low search effort and that it has reservation wages which are moderate, yet still above the level which would imply similar employment probabilities as other groups of migrants.

The findings indicate that special attention needs to be paid by policy makers to various forms of social and cultural integration, as it has significant repercussions on matching in the labor market.

The paper identifies a previously unmapped relationship between ethnic identity and labor market outcomes.

The purpose of this paper is to argue that information is an important effect of documentation. It is in this way that documentation studies distinguishes between concepts of and practices with “information” and “document”: that is, documentation studies helps illuminate how information is created, stabilized, and materialized such that it can emerge and, in turn, how it can then be controlled, deployed, enforced, entrenched, managed, and used in many different ways, in various settings, and for diverse purposes.

This paper presents a conceptual framework on documentation, drawing upon the work of Bernd Frohmann, Michel Foucault, Bruno Latour, Hannah Arendt, @@and Ian Hacking, and applied to a case study of Apartheid South Africa.

Apartheid’s documentation helped achieve apartness at the macro and micro levels of society: on the macro level, the creation and subsequent separation of different racial and ethnic identities were drafted, adopted, and turned into law through legislative documents; on the micro level, these identities were reinforced through routines with personal documents and public signs. This documentation functioned as a documentary apparatus, providing a tangible link between individuals and their official racial and ethnic categories by creating a seamless movement of documents through various institutions; further it helped transform these racial and ethnic identities into lived facts that disciplined and controlled life.

By examining documentation, one can present a fresh and unique perspective to understanding the construction of various things, such as the construction of identities. This conceptual framework contributes to Library and Information Science (LIS) by illuminating the central role of documentation in the creation, stabilization, materialization, and emergence of information. By using Apartheid South Africa as a case study, this paper demonstrates how this framework can be applied to shed new light on different kinds of phenomena in diverse contexts; consequently, it not only contributes to and extends parts of the scholarship on documentation studies within LIS, but also presents new directions for other academic disciplines and multidisciplinary analyses and research.

The purpose of this research is to investigate individual perceptions of time and time management strategies that professionals utilize to achieve their productivity in the execution of their daily tasks, projects and routines. Projects have specific time durations from the beginning to the end, which often need to be broken down into smaller temporal elements (e.g. milestones), and require learning and knowledge capture throughout different project phases. It aims to observe how knowledge management processes tie to personal time management, and how this observation could contribute to project management practices in organizations. The understanding of individual time management strategies, especially when they are connected to the capture, storage, transfer and application of knowledge, can create operational efficiencies in projects.

Two sets of in‐depth semi‐structured interviews and field observations were designed and conducted with 20 busy professionals at an academic institution in the USA. All interviews were audio‐taped and transcribed generating over 350 pages of individual time management strategy statements. An extensive content analysis was performed to categorize the types of knowledge being used by professionals when engaged in daily organizational tasks and projects based on their roles and job hierarchy. Alavi and Leidner's knowledge taxonomies were used as the main coding scheme in order to classify types of individual temporal behaviours uncovered in this study.

This study shows that both explicit and tacit practices of individual time management are an important component of how professionals complete project tasks within their daily routines. Project managers play an important role in leading a successful project, and their time orientations directly affect all project phases.

Although good time management strategies may be one of the key determinants of organizational productivity (driving increased output per unit of time), limited knowledge management research has been conducted within the context of professionals' time management practices. The findings reveal that individual time management is shaped by organizational temporal structures and norms, which organizations use to govern their employees and resources around clock time.

This paper examines the role of managerial curiosity as a critical factor in determining the future impact of disruptive information technologies in a global organization. Specifically, this paper presents curiosity as a managerial characteristic that plays an important role in identifying disruptive information technologies and facilitating their early adoption. Further, it uses resource‐based theory as a theoretical lens to illustrate how managerial curiosity can be a source of sustained competitive advantage. Finally, it examines the individual decision styles that are best suited in assessing disruptive information technologies.

For over 60 years, Lerner's (1944) probabilistic approach to the welfare evaluation of income distributions has aroused controversy. Lerner's famous theorem is that, under ignorance regarding who has which utility function, the optimal distribution of income is completely equal. However, Lerner's probabilistic approach can only be applied to compare distributions with equal means when the number of possible utility functions equals the number of individuals in the population. Lerner's most controversial assumption that each assignment of utility functions to individuals is equally likely. This paper generalizes Lerner's probabilistic approach to the welfare analysis of income distributions by weakening the restrictions of utilitarian welfare, equal means, equal numbers, and equal probabilities and a homogeneous population. We show there is a tradeoff between invariance (measurability and comparability) and the information about the assignment of utility functions to individuals required to evaluate expected social welfare.

The purpose of this paper is to examine whether the relations between perceived job autonomy and attitudes are stronger among self‐employed than employees.

Four samples (total n=25,974), consisting of self‐report data from working adults, were used. In each, participants were classified under three work arrangements: owners of businesses employing others, independent contractors, and employees. The perceived job autonomy for each work arrangement was determined, as were the strengths of the relationship with attitudinal variables (job satisfaction, life satisfaction, professional commitment, and stress). Correlational analysis and hierarchical regression were used to test whether the strengths of these relationships were stronger among the self‐employed.

In all four samples, both types of self‐employed reported more job autonomy than employees. In all samples and within all work arrangements, the relationships between job autonomy were statistically significant and positive with respect to desirable outcomes and negative with respect to stress. However, the strengths of these relationships were no greater among owners or independents than among employees.

From a career advising and planning perspective, the research indicates that self‐employment, either as an owner or independent, is an effective tactic for individuals to increase their job autonomy. However, there was no evidence that the self‐employed differ from employees with respect to the benefit they receive from the job autonomy they perceive.

This study adds to the literature on career choice and self‐employment by comparing the strengths of relationships between job autonomy within and across work arrangements.

Prospect theory is now widely accepted as the dominant model of choice under risk, but has not been fully incorporated into applied research because of uncertainty about how to include population-level parameter estimates. The purpose of this paper is to characterize heterogeneity across people to lay a foundation for future applied research.

The paper uses elicitation data from field experiments in Vietnam to fit a finite Gaussian mixture model using the expectation maximization algorithm. Applied results are simulated for investment allocations under myopic loss aversion.

The authors find that about 20 percent of the sample is classified as extremely loss averse, while the rest of the population is only mildly loss averse. This implies a bimodal distribution of loss aversion in the population.

The data set is only moderately sized: 181 subjects. Future research will be needed to extend these results out of sample, and to other regions.

This paper provides empirical evidence that heterogeneity matters in prospect theory modeling. It highlights how policy makers might be misled by assuming that average prospect theory parameters are typical within the population.

Culture is a central concept broadly studied in social anthropology and sociology. It has been gaining increasing attention in economics, appearing in research on labor market discrimination, identity, gender, and social preferences. Most experimental economics research on culture studies cross-national or cross-ethnic differences in economic behavior. In contrast, we explain laboratory behavior using two cultural dimensions adopted from a prominent general cultural framework in contemporary social anthropology: group commitment and grid control. Groupness measures the extent to which individual identity is incorporated into group or collective identity; gridness measures the extent to which social and political prescriptions intrinsically influence individual behavior. Grid-group characteristics are measured for each individual using selected items from the World Values Survey. We hypothesize that these attributes allow us to systematically predict behavior in a way that discriminates among multiple forms of social preferences using a simple, parsimonious deductive model. The theoretical predictions are further tested in the economics laboratory by applying them to the dictator, ultimatum, and trust games. We find that these predictions are confirmed overall for most experimental games, although the strength of empirical support varies across games. We conclude that grid-group cultural theory is a viable predictor of people’s economic behavior, then discuss potential limitations of the current approach and ways to improve it.