Quantifying the benefits of entry into local phone service

Local telecommunications competition was an important goal of the 1996 Telecommunications Act. We evaluate the consumer welfare effects of entry into residential local telephone service in New York State using household‐level data from September 1999 to March 2003. We address the prevalence of nonlinear tariffs by developing a discrete/continuous demand model that allows for service bundling and unobservable provider quality. We find that the average subscriber to the entrants' services gains a monthly equivalent of $2.33, or 6.2% of her bill, in welfare from competition. These gains accrue primarily from firm differentiation and new plan introductions rather than from price effects.     

Exploring consumer knowledge structures using associative network analysis

This paper offers a new perspective on consumer knowledge analysis that combines Human Associative Memory (HAM) models from cognitive psychology with network analytic approaches in order to gain deeper insights into consumers” mental representations, such as brand images. An illustrative case study compares the associative networks of a manufacturer brand with a retail brand and is used to demonstrate the application and interpretation of various network measures. Network analysis is conducted on three levels: Node‐level analysis yields insights about salient brand image components that can be affected through short‐term marketing activities. Group‐level analysis is concerned with brand image dimensions that characterize a brand and can be strategically influenced in the medium term. Finally, network‐level analysis examines the network structure as a whole, drawing parallels to brand imagery, which needs to be managed over the long term. Management implications are derived and suggestions for further research are provided. © 2010 Wiley Periodicals, Inc.     

Three ethical frames of reference: insights into Millennials' ethical judgements and intentions in the workplace

The paper investigates the ethical decisions of Millennials, who are not only part of an expanding cohort of the workforce, but also represent potential future managers with a growing influence on work practices and employment relationships. In the conceptual model, we propose that three ethical frames of reference, represented by perceived organisational ethics, perceived employee ethics and reflective moral attentiveness, antecede ethical judgements, which further influence the ethical intentions of Millennials. Using structural equation modelling, we test the model for three different business ethics scenarios: paying a consulting fee, dumping hazardous waste, and running an offensive advertising campaign. The findings confirm the link between ethical judgements and intentions across the board, while the influence of the ethical frames of reference varies among the scenarios. We propose that the differences in the predictive ability of the ethical frames of reference depend on the nature of the ethical issue, which holds important implications for today's managers in their attempts to encourage ethical behaviour of Millennial employees.     

The effect of subsidizing continuous training investments — Evidence from German establishment data

This paper evaluates the impact of a training voucher program on establishments' investments in further training. The voucher program that was implemented in the German federal state of North Rhine-Westphalia increased training incentives for employees in small and medium-sized establishments by reducing training costs by 50%. The estimation is based on a quasi-experimental research design exploiting variation across time, regions and establishment size. Using establishment data, I find that the share of establishments that invest in training increased by 4–6 percentage points. Training intensity and the educational structure of participants remained unaffected among those establishments investing in training.     

Non-compliant? Raus aus der Betreuungssackgasse

Nicht jeder ?ltere Diabetespatient besitzt spezielle Diabetes bezogene Kompetenzen. Ein Gro?teil dieser Patientengruppe hat nie an einer Diabetes-Schulung teilgenommen und kann die Zusammenh?nge zwischen Lebensführung und Gesundheitszustand nicht hinreichend verstehen. Viele der Betroffenen fühlen sich mit dem t?glichen Selbstmanagement überfordert. Eine professionelle Diabetes-Pflege kann hier f?rdern und begleiten.     

Housing prices and the business cycle: An empirical application to Hong Kong

This paper develops a two-agent, two-sector, open-economy DSGE model with a housing-market sector and a borrowing constraint. Contrary to standard conventions, domestic households are allowed to invest in foreign housing and vice versa. Using Bayesian methods, the model is applied to data for Hong Kong. We identify strong and robust housing wealth effects, and show that property prices are mainly driven by intratemporal preference perturbations rather than by disturbances in financial frictions or price mark up shocks. These disturbances also explain a non-negligible part of the volatility of consumption, GDP and employment.     

Should Forecasters Use Real‐Time Data to Evaluate Leading Indicator Models for GDP Prediction? German Evidence

In this paper, we investigate whether differences exist among forecasts using real‐time or latest‐available data to predict gross domestic product (GDP). We employ mixed‐frequency models and real‐time data to reassess the role of surveys and financial data relative to industrial production and orders in Germany. Although we find evidence that forecast characteristics based on real‐time and final data releases differ, we also observe minimal impacts on the relative forecasting performance of indicator models. However, when obtaining the optimal combination of soft and hard data, the use of final release data may understate the role of survey information.     

Do Lower Caseloads Improve the Performance of Public Employment Services? New Evidence from German Employment Offices

The caseworker‐to‐clients ratio is an important, but understudied, policy parameter that affects both the quality and cost of public employment services that help job seekers find employment. We exploit a large‐scale pilot by Germany's employment agency, which hired 490 additional caseworkers in 14 of its 779 offices. We find that lowering caseloads caused a decrease in the rate and duration of local unemployment as well as a higher re‐employment rate. Disentangling the mechanisms that contributed to this improvement, we find that offices with lowered caseloads increased monitoring and imposed more sanctions but also intensified search efforts and registered additional vacancies.