How to close the gender pay gap in Europe: towards the gender mainstreaming of pay policy

The European Employment Strategy includes a new commitment to a substantial reduction in the gender pay gap in European Union (EU) member states, but progress requires a radical shift away from the traditional policy emphasis on the supply‐side deficiencies of women compared with men. Mainstream theory argues that gender inequality is reduced once the pay gap is ‘adjusted’ for differences in individual characteristics (education, experience, etc.). But new empirical studies in many EU member states demonstrate that the work environment—the general wage structure, job and workplace characteristics—shapes gender pay inequality. Given the negative gender impact of trend declines in minimum wages, moves towards more decentralisation of wage‐setting and public sector restructuring, the article argues for a holistic, gender mainstreaming approach to pay policy.     

Mortgage Refinancing Activity: An Explanation [1990–2001]

Mortgage refinancing activity reached unprecedented high levels during 1990–2001. Using GARCH to control for heteroskedasticity and separating the data into regimes to control for potential structural changes over time, we estimate a model explaining changes in mortgage refinancing activity over the period studied. We find changes in refinancing activity to be negatively related to current as well as past changes in the 30-year mortgage rate with a declining significant lag over time. Similarly, there is a significant lagged dependent variable with a declining lag. Moreover, mortgage refinancing activity is a substitute for other investments during certain regimes. These results offer evidence that home owners cash out the mortgage for other investments. The lags suggest that the process is delayed for a variety of reasons. The declining lag signals a faster response by consumers. The reasons for a faster response include a consumer perception that interest rates have “bottomed out,” the presence of an increase in consumer sophistication, and improvements in technology and market coordination that facilitate and reduce the cost of the refinancing process.     

A random coefficient autoregressive Markov regime switching model for dynamic futures hedging

The random coefficient autoregressive Markov regime switching model (RCARRS) for estimating optimal hedge ratios, which generalizes the random coefficient autoregressive (RCAR) and Markov regime switching (MRS) models, is introduced. RCARRS, RCAR, MRS, BEKK‐GARCH, CC‐GARCH, and OLS are compared with the use of aluminum and lead futures data. RCARRS outperforms all models out‐of‐sample for lead and is second only to BEKK‐GARCH for aluminum in terms of variancereduction point estimates. White's data‐snooping reality check null hypothesis of no superiority is rejected for BEKK‐GARCH and RCARRS for aluminum, but not for lead. © 2006 Wiley Periodicals, Inc. Jrl Fut Mark 26:103–129, 2006     

Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education

Data envelopment analysis (DEA) and multilevel modelling (MLM) are applied to a data set of 54,564 graduates from UK universities in 1993 to assess whether the choice of technique affects the measurement of universities’ performance. A methodology developed by Thanassoulis and Portela (2002; Education Economics, 10(2), pp. 183–207) allows each individual's DEA efficiency score to be decomposed into two components: one attributable to the university at which the student studied and the other attributable to the individual student. From the former component, a measure of each institution's teaching efficiency is derived and compared to the university effects from various multilevel models. The comparisons are made within four broad subjects: pure science, applied science, social science and arts. The results show that the rankings of universities derived from the DEA efficiencies which measure the universities’ own performance (i.e., having excluded the efforts of the individuals) are not strongly correlated with the university rankings derived from the university effects of the multilevel models. The data were also used to perform a university‐level DEA. The university efficiency scores derived from these DEAs are largely unrelated to the scores from the individual‐level DEAs, confirming a result from a smaller data set (Johnes, 2006a; European Journal of Operational Research, forthcoming). However, the university‐level DEAs provide efficiency scores which are generally strongly related to the university effects of the multilevel models.     

Distance Decay Functions for Iconic Assets: Assessing National Values to Protect the Health of the Great Barrier Reef in Australia

The aim of this study was to estimate the values to protect the health of the Great Barrier Reef (GBR) at the national level and to examine the effects of distance decay on valuation estimates. Two choice-modelling experiments were conducted in six locations: a regional town within the GBR catchment area (Townsville); Brisbane, the state capital approximately 450?km from the southern limit of the GBR; and four other capital cities (Sydney, Melbourne, Adelaide and Perth) ranging from nearly 1,000?km to over 4,000?km from Brisbane. Value estimates from a pooled model suggest that the average WTP across Australian households is $21.68 per household per annum for 5?years, and that those values are higher for respondents with higher levels of education and income, respondents who live in Queensland, respondents who live further away, and respondents who plan to visit more often in the future. For this nationally important iconic asset, apparent distance decay effects appear to be explained by variations in future usage and state responsibility, rather than proximity.     

Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

The Employee Engagement Scale: Initial Evidence for Construct Validity and Implications for Theory and Practice

Interest in the employee engagement construct has gained increasing attention in recent years. Measurement tools focused on nuanced areas of engagement (i.e., job engagement and organizational engagement) have been offered; however, no measure of employee engagement has been advanced despite persistent calls in the research. We present the development, method, and results of a three‐dimensional employee engagement measurement tool developed for use in the human resource and management fields of study. Across four independent studies, the employee engagement scale (EES) was found to consist of three subfactors (cognitive, emotional, and behavioral) and a higher‐order factor (employee engagement). Across a series of four studies, we explored the factor structure and reliability of the EES (Study 1), then refined the scale, confirmed the factor structure, and examined reliability and both convergent and nomological validity evidence (Study 2). Next (Study 3), we completed a final reduction in scale items and examined additional evidence of reliability and nomological validity as well as evidence of discriminant validity. Finally (Study 4), we tested for evidence of incremental validity. In the implications for theory and practice section, we discuss the importance of an employee engagement measure aligned alongside an agreed‐upon definition and framework. Limitations and future directions for research—such as the need for further psychometric testing and exploring issues of measurement invariance—are discussed. © 2016 Wiley Periodicals, Inc.     

Flexibility bites back: the multiple and hidden costs of flexible employment policies

Flexible labour markets are increasingly regarded as the answer to a wide spectrum of labour market and societal challenges from creating jobs to reducing segmentation and welfare dependency, improving public finances and supporting workforce diversity and innovation. The contention is that, contrary to these claims, flexible labour markets generate fundamental contradictions and unsustainable long‐term trends. The jobs miracle is exaggerated and based on low productivity jobs, outsiders often lose most from competition, claimants must work flexibly but still secure a full‐time wage, low‐wage employment is shrinking the fiscal base, jobs are not being adjusted to accommodate workers' changing needs and capacities and the disposable labour model is undermining long‐term productivity.