The education pillar of the Europe 2020 strategy: a convergence analysis

Empirica - In March 2010, the European Commission launched the Europe 2020 strategy ‘for smart, sustainable and inclusive growth’ in the EU. Education is a major pillar of the Europe...     

A review and validation of overall survival extrapolation in health technology assessments of cancer immunotherapy by the National Institute for Health and Care Excellence: how did the initial best estimate compare to trial data subsequently made available?

Background: Validation of overall survival (OS) extrapolations of immune-checkpoint inhibitors (ICIs) during the National Institute for Health and Care Excellence (NICE) Single Technology Assessment (STA) process is limited due to data still maturing at the time of submission. Inaccurate extrapolation may lead to inappropriate decision-making. The availability of more mature trial data facilitates a retrospective analysis of the plausibility and validity of initial extrapolations. This study compares these extrapolations to subsequently available longer-term data.

Methods: A systematic search of completed NICE appraisals of ICIs from March 2000 to December 2017 was performed. A targeted search was also undertaken to procure published OS data from the pivotal clinical trials for each identified STA made available post-submission to NICE. Initial Kaplan-Meier curves and associated extrapolations from NICE documentation were extracted to compare the accuracy of OS projections versus the most mature data.

Results: The review identified 11 STAs, of which 10 provided OS data upon submission to NICE. The extrapolations undertaken considered parametric or piecewise survival models. Additional data cut-offs provided a mean of 18 months of OS beyond the end of the original data. Initial extrapolations typically under-estimated OS from the most mature data cut-off by 0.4–2.7%, depending on the choice of assessment method and use of the manufacturer- or ERG-preferred extrapolation.

Conclusion: Long-term extrapolation of OS is required for NICE STAs based on initial immature OS data. The results of this study demonstrate that the initial OS extrapolations employed by manufacturers and ERGs generally predicted OS reasonably well when compared to more mature data (when available), although on average they appeared to underestimate OS. This review and validation shows that, while the choice of OS extrapolation is uncertain, the methods adopted are generally aligned with later-published follow-up data and appear appropriate for informing HTA decisions.     

Pension fund manager skills over the economic cycle: the (non-)specialization cost

We study whether pension fund managers, as professionals of important social and financial products, are able to add value for their clients and adapt to economic changes. To this end, we analyze the performance and skills (market timing and stock picking) over the economic cycle from both pension fund and manager perspectives. This double analysis allows examining whether skills reside in managers and/or funds and control for manager substitutions. Despite the long-term nature of pension funds, we find that both fund and manager skills vary with market conditions, showing better evidence of stock-picking in booms, and of market timing in recessions. Nonetheless, top (bottom) funds and managers exhibit both (incorrect) skills in booms and in recessions. Some of the top (bottom) funds and managers are the best (worst) in both abilities in the same periods, but not in different periods, showing that not all managers have the ability to adapt to market conditions. Additionally, managers with limited skills tend to specialize because diversification requires multi-task skills and the non-specialization of these managers usually results in incorrect skills.     

Sustainability accounting regulation in Spanish public sector organizations

In 2011, the Spanish government made sustainability accounting mandatory for public sector organizations. This paper documents why, despite the new legislation, the quantity and quality of sustainability accounting practices remains low.     

Commitment and Lapse Behavior in Long‐Term Insurance: A Case Study

This article presents a case study of a portfolio of individual long‐term insurance contracts sold by a Spanish mutual company. We describe the risk levels, the rating structure, and the implied cross‐subsidies on a portfolio of policies providing health, life, and long‐term care insurance. We show evidence of reclassification risk through the history of disability spells. We also analyze the lapse behavior and seek to provide a rationale for the portfolio’s dynamics. We discuss the lack of commitment from the policyholders (lapses) and from the mutual company (which took a run‐off decision). Finally, we draw conclusions regarding the design of such contracts.     

Consumer Regulation Strategies: Attenuating the Effect of Consumer References in a Voting Context

Consumption cues (e.g., brands, money, and advertisements) can have powerful effects on cognition, perception, and behavior, yet how people regulate responses to such cues is not well understood. This is surprising given that consumption cues are increasingly present in nontraditional consumer contexts, such as healthcare, education, and politics. This research develops a measure of two types of consumer regulation strategies, cue‐based and budget‐based (studies 1–4), and demonstrates that these strategies influence how people respond to consumption cues in a political context (study 5). Specifically, in a study involving the 2012 American Presidential Election, priming survey participants as consumers (versus citizens) influenced both voting intentions and self‐reported voting behavior, and the newly developed consumer regulation scale was instrumental in detecting this effect. These findings suggest there may be merit in the escalating debate and concern over referring to voters as consumers.     

On the forecasting of the challenging world future scenarios

Logistic and power law methodologies for both retrospective and prospective analyses of extended time series describing evolutionary growth processes, in environments with finite resources, are confronted. While power laws may eventually apply only to the early stages of said growth process, the Allee logistic model seems applicable over the entire span of a long range process. On applying the Allee logistic model to both the world population and the world gross domestic product time series, from 1 to 2008 AD, a projection was obtained that along the next few decades the world should experience a new economic boom phase with the world GDP peaking around the year 2020 and proceeding from then on towards a saturation value of about 142 trillion international dollars, while the world population should reach 8.9 billion people by 2050. These results were then used to forecast the behavior of the supply and consumption of energy and food, two of the main commodities that drive the world system. Our findings suggest that unless the currently prevailing focus on economic growth is changed into that of sustainable prosperity, human society may run into a period of serious economical and social struggles with unpredictable political consequences.     

Cost implications of improving food safety in the Dutch dairy chain

This paper examines control measures for improving food safetyin the dairy chain, using an integer linear programming model.The chain includes feed (compound feed production and delivery),farm (dairy farm) and dairy processing (transport and processingof raw milk, delivery of pasteurised milk) blocks. Results showthat 65 per cent of the maximum possible food safety improvementcan be achieved at relatively low extra cost per ton of milk(4.27), fairly evenly distributed across the blocks. Highersafety levels can be attained by increasing the farm block'scontribution, but at much higher extra cost (44.37 for the maximumattainable).     

Price and Volatility Transmission and Market Power in the German Fresh Pork Supply Chain

We investigate the relationship between the transmission of price volatility and market power in the German fresh pork supply chain. We use a theoretical model underpinning this relationship followed by an empirical application that uses monthly farm, slaughterhouse and retail pork price data for the period 2000–2011. We examine both the relationships of market power with price level transmission and price volatility transmission in the chain. We use a vector error correction model and least squares regressions to analyse price transmission and price volatility transmissions, respectively. Results show that retail market power limited both types of transmissions. Competition inducing policy measures coupled with measures that support price risk management initiatives of chain actors are suggested.