An Evaluation of Inertia Models of Unemployment

Two approaches have been used to model unemployment. The first, conventional, approach involves linking the unemployment outcome to observed indices of productivity, structural factors and discrimination such as educational attainment, location and birthplace. The second approach, the inertia model, involves using a person's labour market history as a way of including in unemployment models information on the 'unobservables' that influence employability. This paper evaluates the performance of both models of unemployment. The results provide unambiguous support for the inertia model when modelling unemployment. The inertia model has higher explanatory power, higher within-sample prediction rate success and fewer out-of-sample forecasting errors than the conventional model. The estimates from the inertia model can be used to provide quite accurate predictions of the risk of becoming unemployed. This is important if individuals at high risk of becoming unemployed are to be targeted for labour market assistance.     

The roles of insurance and well-specified standards in dealing with environmental risks

The present liability system for managing environmental risks has had huge transaction costs through the courts with limited funds actually utilized for compensation (except to the lawyers) and cleanup of wastes. This paper discusses the use of insurance coupled with well-specified standards as an alternative to the current system. It illustrates the potential for the use of these policy tools in the context of two environmental risk management problems: providing liability protection to contractors involved in asbestos removal and protecting commercial property lenders and owners from liabilities associated with environmental contamination.     

Technology-enabled interactions in digital environments:a conceptual foundation for current and future research

Journal of the Academy of Marketing Science -     

TRAINING AND LABOUR MARKET SEGMENTATION

A two period model of the training decision is analysed using a human capital approach. The segmented labour market model where training opportunities distinguish entrants is compared with a competitive structure with homogeneous entrants. The main conclusions in the paper are the clear effects of training wages and the different effects in the two market structures of both wages and employment prospects in the unskilled market on training.     

Integrating Customer Requirements into Product Designs

Despite all best efforts, the design process often leads to the introduction of products that do not meet customer expectations. Although the design team typically applies customer-related information from several sources, the product design somehow fails to satisfy customer requirements. Clearly, we need to develop a better understanding of the process by which designers in large development organizations transform information about customer requirements into the final design specification. To improve our understanding of this process, Antonio J. Bailetti and Paul F. Litva examine design managers' perspectives on the sources of customer requirement information. During the evolution of a product design, the design team applies information that is endorsed by marketing and product management. Common sources of such information include commercial specifications, inferences from existing products and services, deployment studies, and external standards. When this management-endorsed information is deemed inadequate, designers supplement it by creating and sharing their own customer-related information. This local information includes the results of benchmarking function and performance, the designers' perceptions of a service provider's installed base of equipment, and validations of intermediate designs. Marketing and product management cannot easily review the local information that designers create and share in evolving a final design. This article highlights the importance of creating mechanisms for ensuring that customer requirement information from various sources is internally consistent. To meet this goal of consistency, organizations must ensure that customer requirements information produced by marketing satisfies the information processing requirements of the design community. In addition, the knowledge that designers actually apply to produce a design must incorporate customer requirement information endorsed by marketing and product management at all stages of product development.     

Why Mortgage Borrowers Persevere: An Explanation of First and Second Lien Performance Mismatch

Borrowers with a pair of mortgages collateralized by the same property sometimes continue to make payments on one while defaulting on the other. We articulate a framework for understanding this performance mismatch that emphasizes two types of borrowers: those with stable equity positions who perceive they are facing moderate or temporary liquidity shocks, and those facing severe financial stress in combination with negative equity. The former have an incentive to enter mismatch and subsequently cure, while the latter would default on both contracts. Our empirical analysis using newly available, national samples of matched first‐ and second‐lien mortgages supports this view.     

The first space hotel employees: Human resources challenges in a post-terrestrial paradigm

ABSTRACT

This article discusses some of the issues regarding the first employees to work in a space hotel. As space hotels initially will be vastly different to existing hotels on Earth, it is important to question what human resource challenges this will raise for hospitality workers and providers. To assist reflection on this issue, the notions of space tourism and space tourist are explored, and a definition of a space hotel is included to create product and service boundaries. Plausible futures methodology is used to create five main human resource considerations and concludes by suggesting this sector is largely unexplored.     

Improving the speed of adoption of agricultural technologies and farm performance through farmer groups: evidence from the Great Lakes region of Africa

The article examines the effect of membership in farmer groups (MFG) on adoption lag of agricultural technologies and farm performance in Burundi, the Democratic Republic of Congo and Rwanda. We use duration and stochastic production frontier models on farm household data. We find that the longer the duration of MFG, the shorter the adoption lag and much more so if combined with extension service delivery. Farmer groups function as an important mechanism for improving farm productivity through reduced technical inefficiency in input use. We discuss policy implications under which farmer groups are a useful channel to reduce adoption lag, and the means through which improved farm performance can be achieved.