Distance between home and work: A multilevel analysis of individual workers, neighbourhoods, and employment sites in Northern Ireland

Abstract. We explore the distances between home and work for employees at twenty-eight different employment sites across Northern Ireland. Substantively, this is important for better understanding the geography of labour catchments. Methodologically, with data on the distances between place of residence (566 wards) and place of work for some 15 000 workers, and the use of multilevel modelling (MLM), the analysis adds to the evidence derived from other census-based and survey-based studies. Descriptive analysis is supplemented with MLM that simultaneously explores individual, neighbourhood, and site variations in travel-to-work patterns using hierarchical and cross-classified model specifications, including individual and ecological predictor variables (and their cross-level interactions). In doing so we apportion variability to different levels and spatial contexts, and also outline the factors that shape spatial mobility. We find, as expected, that factors such as gender and occupation influence the distance between home and work, and also confirm the importance of neighbourhood characteristics (such as population density observed in ecological analyses at ward level) in shaping individual outcomes, with major differences found between urban and rural locations. Beyond this, the analysis of variability also points to the relative significance of residential location, with less individual variability in travel-to-work distance between workers within wards than within employment sites. We conclude by suggesting that, whilst some general ‘rules’ about the factors that shape labour catchments are possible (eg workers in rural areas and in higher occupations travel further than others), the complex variability between places highlighted by the MLM analysis illustrates the salience of place-specific uniqueness.

The Decline of the Cow: Agricultural and Settlement Change in Early Medieval Ireland

This article considers cows and dairying as the basis a17of value system in early societies, particularly in Ireland. Only in a very few instances is it possible to demonstrate that such systems existed. When it does, it can be shown that cows and dairying were imbedded in the social or religious institutions of these cultures. Cattle had a value and meaning much greater than their economic worth in terms of food, hides, tallow etc. Such a systems, however, does not allow economic development as dairy produce does not easily lend itself to the production, and accumulation, of significant surplus nor is dairy produce particularly suitable for economic expansion based on trade. Its perishable nature militates against both roles. In order to develop political power that is based on economic power and wealth it is necessary to change the emphasis from livestock to cereal production.

How do different entitlements to unemployment benefits affect the transitions from unemployment into employment?

In Portugal duration of benefits is exclusively age determined while replacement rates are essentially uniform. We exploit differences in potential maximum duration of benefits for nearly matched pairs of individuals to determine the effects of benefit duration on job finding. (C) 2008 Elsevier B.V. All rights reserved.

The demand for labor: An analysis using matched employer-employee data from the German LIAB. Will the high unskilled worker own-wage elasticity please stand up?

This paper uses matched employee-employer LIAB data to provide panel estimates of the structure of labor demand in western Germany, 1993-2002, distinguishing between highly skilled, skilled, and unskilled labor and between the manufacturing and service sectors. Reflecting current preoccupations, our demand analysis seeks also to accommodate the impact of technology and trade in addition to wages. The bottom-line interests are to provide elasticities of the demand for unskilled (and other) labor that should assist in short-run policy design and to identify the extent of skill biases or otherwise in trade and technology.