Personal income taxation under mobility, exogenous and endogenous welfare weights, and asymmetric information

This paper analyses how governments should tax labour income accruing to a group of highly skilled and geographically mobile individuals who divide their time or career between several jurisdictions. The analysis differs from previous models on migration and taxation by addressing optimal regulation when agents work for several principals. Optimal taxation is developed for social welfare functions with exogenous and endogenous welfare weights. Marginal income taxes are applied for screening purposes, and the rates are lower with endogenous than with exogenous welfare weights. Received: 22 January 1998/Accepted: 3 July 1999)     

Computer use and ulnar neuropathy: results from a case-referent study

We aimed to evaluate associations between vocational computer use and 1) ulnar neuropathy, and 2) ulnar neuropathy- like symptoms as distinguished by electroneurography. We identified all patients aged 18-65 years, examined at the Department of Neurophysiology on suspicion of ulnar neuropathy, 2001-2007. We mailed a questionnaire to 546 patients with ulnar neuropathy, 633 patients with ulnar neuropathy-like symptoms, and three community referents per case, matched on sex, age, and primary care centre. From a Job Exposure Matrix we extracted estimates of daily hours of computer use. The analysis was performed by conditional logistic regression.There were a negative association between daily hours of computer use and the two outcomes of interest. Participants who reported their elbow to be in contact with their working table for 2 hours or more during the workday had an elevated risk for ulnar neuropathy (OR=2.16, 95 % CI; 1.06-4.44).The two outcomes were not associated with daily hours of computer use. Findings suggested specific effects of pressure on the elbow, and might be an explanation for the overweight of left-sided outcomes in this primarily right-handed group. Preventive efforts would then be straightforward by providing appropriate arm support for the left arm and elbow.     

Prior specification of neighbourhood and interaction structure in binary Markov random fields

We formulate a prior distribution for the energy function of stationary binary Markov random fields (MRFs) defined on a rectangular lattice. In the prior we assign distributions to all parts of the energy function. In particular we define priors for the neighbourhood structure of the MRF, what interactions to include in the model, and for potential values. We define a reversible jump Markov chain Monte Carlo (RJMCMC) procedure to simulate from the corresponding posterior distribution when conditioned to an observed scene. Thereby we are able to learn both the neighbourhood structure and the parametric form of the MRF from the observed scene. We circumvent evaluations of the intractable normalising constant of the MRF when running the RJMCMC algorithm by adopting a previously defined approximate auxiliary variable algorithm. We demonstrate the usefulness of our prior in two simulation examples and one real data example.     

A Postmodern Critique of Societal Discourses of Male Violence in Interpersonal Family Relationships: A Balancing Act for Social Work

In recent years, treatments of family violence have tended to be built around conventional discourses suggesting that men are major initiators in instances of interpersonal violence. Utilizing a postmodernist analysis, we assess societal discourses that continue to give life to this narrow conceptualization of interpersonal violence. We also examine literature suggesting that both men and women resort to violence to resolve relationship difficulties and suggest that a more holistic and inclusive approach to understanding interpersonal violence is critical for social workers committed to social justice and a balanced understanding of the contextual nature of human problems.     

Risk Perceptions and Alcohol Consumption among Young People

Swedish cross-sectional survey data on young individuals was used to analyse the determinants of perceived risks of alcohol use and how these perceptions relate to drinking behaviour. Three major conclusions were drawn: (1) that people overestimate the risks of alcoholism, (2) that these risk perceptions fall substantially with age, but nevertheless imply risk overestimation, and (3) that education about alcohol, narcotics and tobacco leads individuals to perceive risks more correctly and to have lower risk beliefs. An additional finding was that individuals with higher perceived risks were less likely to consume alcohol. Equations were estimated both separately and simultaneously.     

‘Meeting Face to Face Creates New Insights’: Recruiting Persons with User Experiences as Students in an Educational Programme in Social Work

Even though empowerment and involvement of users have, for a long time, been important goals for educational programmes in social work, these programmes have only to a very little extent availed themselves of the resources that people with user experiences have to offer. This article will present a course that is part of the bachelor programmes in social work and social education at Lillehammer University College in Norway. Persons with user experiences were recruited and took part in a course on equal terms with the bachelor students. Four lecturers from the college, including the author as the project leader, carried out the planning and implementation of the course. The article gives an account of the experiences gained from the course as expressed by the students.     

Green giant or straw man? Environmental pressure and civil conflict, 1961–99

The proposition that environmental scarcity causes violent conflict attracts both popular and academic interest. Neomalthusian writers have developed theoretical arguments explaining this connection, and have conducted numerous case studies that seem to support the view that scarcity of biological assets such as land and other renewable resources causes conflict. So far there have been few systematic quantitative or comparative studies, and the few that exist have focused on particular forms of environmental degradation or on a small subset of resources, particularly mineral wealth. We test a more general argument about the effects of resource scarcity by examining the most widely-used measure of environmental sustainability: the ecological footprint. Contrary to neomalthusian thinking, we find that countries with a heavier footprint have a substantially greater chance of peace. Biocapacity and the ecological reserve also predict to peace, but these results are more fragile. Separate tests for smaller conflicts, for the post-Cold War period, and with additional control variables do not yield stronger support for the scarcity thesis. On the whole, the neomalthusian model of conflict receives little support from this analysis. We cannot exclude that erosion of the earth’s carrying capacity can increase conflict in the long run, but an empirical analysis with the ecological footprint measure does not provide any support for such a position.     

On the simple linear regression model with correlated measurement errors

The simple linear regression model with measurement error has been subject to much research. In this work we will focus on this model when the error in the explanatory variable is correlated with the error in the regression equation. Specifically, we are interested in the comparison between the ordinary errors-in-variables estimator of the regression coefficient β$\beta$ and the estimator that takes account of the correlation between the errors. Based on large sample approximations, we compare the estimators and find that the estimator that takes account of the correlation should be preferred in most situations. We also compare the estimators in small sample situations. This is done by stochastic simulation. The results show that the estimators behave quite similarly in most of the simulated situations, but that the ordinary errors-in-variables estimator performs considerably worse than the estimator that takes account of the correlation for certain parameter combinations. In addition, we look briefly into the bias introduced by ignoring correlated errors when computing sample correlations, and in predictions.     

Implementing human resource development best practices: Replication or re-creation?

Abstract

Firms increasingly introduce HRD ‘best practices’ developed somewhere else, but results often fall short of expectations. Much of existing theory fails to guide the implementation of HRD best practices because it does not recognize how introduced practices interact with existing practices in the firm. In this paper, we contrast the dominant perspective ‘Implementation as Replication’ with a perspective of ‘Implementation as Re-creation’. Through four stages of the implementation process, we identify and discuss how these contrasting perspectives yield different implications for how firms go about introducing HRD best practices. First, when firms take up a practice, is this a process of adoption or translation? Second, is it assumed that new knowledge can be implanted directly and lead to new behaviour, or is active experimentation a necessary precondition to gain new knowledge? Third, are deviations from the intended plan considered errors to be corrected or sources for learning? Fourth, are introduced best practices treated in isolation or as integral parts of the firm's management system? We argue that implementation efforts guided by the re-creation perspective increase the prospects of HRD best practices succeeding as a useful tool in the receiving firm.