Human capital accumulation and the intertemporal elasticity of substitution of labor: How large is the bias?

I consider two different skill accumulation technologies, learning by doing and Ben-Porath type training. The effect of human capital accumulation in the form of learning by doing is to increase the labor supply elasticity estimate by a factor of 2.1 relative to the estimate that ignores human capital accumulation. The results are similar for the Ben-Porath type training technology, although the estimate of the bias is somewhat higher.     

Worker Control as a Facilitator in the Match between Education and Jobs

This article examines the relationship between worker control and subjective underemployment among workers who have more education than is needed for entry into their jobs (credential underemployment). Results indicate that social and technical controls are related to a greater sense of education–job matching. Workers who have credential underemployment are less likely to report subjective underemployment (underutilization and lack of fit between education and job) if they have higher levels of workplace control. This article contains implications for job design and the role of employers and managers in fostering the utilization of their workforces.     

Wealth and the capitalist spirit

The wealth distribution in the U.S. is more unequal than either the income or earnings distribution, a fact current models of saving behavior have difficulty explaining. Using Max Weber’s [Weber, M. (1905). The Protestant Ethic and the Spirit of Capitalism. Charles Scribners’ and Sons (1958 translated edition)] idea that individuals may have a ‘capitalist spirit’, I construct and simulate a model where individuals accumulate wealth for its own sake rather than as deferred consumption. Including capitalist spirit preferences in a simple life cycle model, with no other modifications, generates a skewness of wealth consistent with that observed in the U.S. economy. Furthermore, capitalist spirit preferences provide a way to generate decreasing risk aversion with increases in wealth without resorting to idiosyncratic rates of time preference.     

Using paradata to collect better survey data: Evidence from a household survey in Tanzania

Data are a key component in the design, implementation, and evaluation of economic and social policies. Monitoring data quality is an essential part of any serious, large‐scale data collection process. The purpose of this article is to show how paradata should be used before, during, and after data collection to monitor and improve data quality. To do this we use timestamps, global positioning system (GPS) coordinates, and other paradata collected from an 800‐household survey conducted in Tanzania in 2016. We demonstrate how key paradata can be used during each phase of a research project to identify and prevent issues in the data and the methods used to collect it. Our results corroborate the importance of collecting and analyzing paradata to monitor fieldwork and ensuring data quality for micro data collection in developing countries. Based on these findings we also make recommendations as to how researchers can make better use of paradata in the future to manage and improve data quality. We argue for an expansion in the understanding and use of varied paradata among researchers, and a greater focus on its use for improving data quality.     

The impact of stress on tournament entry

Individual willingness to enter competitive environments predicts career choices and labor market outcomes. Meanwhile, many people experience competitive contexts as stressful. We use two laboratory experiments to investigate whether factors related to stress can help explain individual differences in tournament entry. Experiment 1 studies whether stress responses (measured as salivary cortisol) to taking part in a mandatory tournament predict individual willingness to participate in a voluntary tournament. We find that competing increases stress levels. This cortisol response does not predict tournament entry for men but is positively and significantly correlated with choosing to enter the tournament for women. In Experiment 2, we exogenously induce physiological stress using the cold-pressor task. We find a positive causal effect of stress on tournament entry for women but no effect for men. Finally, we show that although the effect of stress on tournament entry differs between the genders, stress reactions cannot explain the well-documented gender difference in willingness to compete.     

DECISION THEORY UNDER AMBIGUITY

Abstract We review recent advances in the field of decision making under uncertainty or ambiguity. We start with a presentation of the general approach to a decision problem under uncertainty, as well as the ‘standard’ Bayesian treatment and issues with this treatment. We present more general approaches (Choquet expected utility, maximin expected utility, smooth ambiguity and so forth) that have been developed in the literature under the name of models of ambiguity sensitive preferences. We draw a distinction between fully subjective models and models incorporating explicitly some information. We review definitions and characterizations of ambiguity aversion in these models. We mention the challenges posed by some of the models presented. We end with a review of part of the experimental literature and applications of these models to economic settings.     

Does Having a Dysfunctional Personality Hurt Your Career? Axis II Personality Disorders and Labor Market Outcomes

Despite recent interest in how psychiatric disorders affect work outcomes, little is known about the role of personality disorders (PDs), which are poorly understood yet prevalent (15%) and impairing. We used nationally representative data for 12,457 men and 16,061 women to examine associations of PDs with any employment, full-time employment, chronic unemployment, being fired or laid off, and having trouble with a boss or co-worker. Antisocial, paranoid, and obsessive-compulsive PDs demonstrated the broadest patterns of associations with adverse outcomes. Findings suggest that PDs may have implications for the productivity of co-workers as well as that of the disordered employees themselves.     

The cognitive and the action-oriented elements of competence along the innovation process – evidence from R&D teams in the medical equipment sector

Abstract

Organizations are constantly searching for ways to enhance their innovative capacity and to sustain their competitive advantage. Much of the literature focuses on knowledge as the key driver for this pursuit. Unlike other studies, we define experience and knowledge as two basic elements of competence by borrowing from the experiential and cognitive learning theories and contrast their impact on the innovativeness of R&D teams. Building on the competence based perspective, we posit that the differences in competence inputs explain variations in team innovation performance along the innovation process. To test our assumptions, we analyzed the aggregated knowledge and experience levels for different technology competences of 868 employees in 49 R&D teams in a large contract-engineering corporation in the medical equipment sector. The findings reveal that technology experience is particularly fruitful within innovation implementation and is a driver for successful market introduction. The research contributes to the understanding when competence elements are especially important.     

Organising campaigns as ‘revitaliser’ for trade unions? The example of the Lidl campaign

US‐style organising campaigns are a relatively new repertoire of action for German trade unions and can be seen as further evidence of their transformation. The example of the Lidl campaign organised by German United Service Union ver.di is chosen to illustrate tensions between organising and campaigning as revitalisation strategies.     

A Conversation with James O. Ramsay

Jim Ramsay was born on September 5, 1942, in Prince George, British Columbia. He pursued undergraduate studies at the University of Alberta, where he completed a BEd in 1964 with a major in English and a minor in mathematics. He then specialized in statistics and psychometry, earning a PhD in psychology from Princeton University in 1966. After holding a temporary lectureship in the Department of Psychology at University College London for one year, he joined the Department of Psychology at McGill University, where he rose through the academic ranks. He was chair of his department from 1986 to 1989 and spent sabbatical leaves in Cambridge, Grenoble, and Toulouse. He was named professor emeritus upon his retirement in 2007. Jim is the author of four influential books and over 100 peer‐reviewed articles in statistical and psychometric journals. He developed much of the statistical theory behind multidimensional scaling and is widely recognized as the founder of functional data analysis. Three of his papers were read to the Royal Statistical Society, and another won The Canadian Journal of Statistics 2000 Best Paper Award. The Statistical Society of Canada (SSC) awarded him a Gold Medal for research in 1998 and an honorary membership in 2012. Jim was president of the Psychometric Society in 1981–82 and president of the SSC in 2002–03. The following conversation took place at Jim's home in Ottawa, Ontario, on March 14 and April 4, 2012.