Designing feasible and effective health plan payments in countries with data availability constraints

Risk equalization schemes, which transfer money to/from insurers that have above/below average risks, are a fundamental tool in regulated health insurance markets in many countries. Risk sharing (the transfer of some responsibility for costs from a plan to the regulator or the overall insurance market), are an additional method of insulating insurers who attract higher-than-average risks. This paper proposes, implements and quantifies incorporating risk sharing within a risk equalization scheme that can be applied in a data-poor context. Using Chile's private health insurance market as case study, we show that modest amount of risk sharing greatly improves fit even in simple demographic-based risk equalization. Expanding the model's formula to include morbidity-based adjustors and risk sharing redirects compensations at insurer level and reduces opportunity to engage in profitable risk selection at the group level. Our emphasis on feasibility may make alternatives proposed attractive to countries facing data-availability constraints.     

Firm age and performance

Amid increasing interest in firm age and its effects on firm performance, this special issue offers an exhaustive review of the literature and a novel collection of evidence on the effects of firm age on performance, including a special focus of interest on innovation performance, financial performance, exports, survival and growth. This editorial positions the theme in the extant literature, and provides key definitions and challenges ahead in the field of evolutionary economics. It introduces the collection of articles composing the special issue. The papers offer a diversity of country contexts, as well as analytical approaches and methods. They include an exhaustive review of the literature on age and firms’ performance, and present original empirical studies focusing on the effects of age on firms’ economic outcomes on the one hand, and on innovation outcomes on the other hand. While most of the papers use econometric analysis, the level of analysis ranges from firm to individual.     

When income differences hurt or excite: The nonlinear effect of regional inequality on subjective wellbeing

Combining information from the European Union Statistics on Income and Living Conditions and the European Social Survey, we investigate the relationship between subjective well-being and income inequality using regional inequality indicators and individual data. We assume that inequality aversion and perception of social mobility affect the impact of regional inequality on subjective well-being in opposite directions. We find evidence of an inverse U-shaped effect of inequality, where inequality starts to have a positive effect on subjective well-being that becomes negative with a switch point before the average of the Gini index for the entire sample. The rationale for our nonlinear finding is that Hirschman's tunnel effect (and the positive effect of perceived social mobility) prevails for low levels of inequality, while inequality aversion and negative relative income effects are relatively stronger when inequality is higher. Robustness checks on different sample splits are consistent with the hypothesis of the two drivers.     

A Statistical Model to Investigate the Reproducibility Rate Based on Replication Experiments

The reproducibility crisis, that is, the fact that many scientific results are difficult to replicate, pointing to their unreliability or falsehood, is a hot topic in the recent scientific literature, and statistical methodologies, testing procedures and p‐values, in particular, are at the centre of the debate. Assessment of the extent of the problem–the reproducibility rate or the false discovery rate–and the role of contributing factors are still an open problem. Replication experiments, that is, systematic replications of existing results, may offer relevant information on these issues. We propose a statistical model to deal with such information, in particular to estimate the reproducibility rate and the effect of some study characteristics on its reliability. We analyse data from a recent replication experiment in psychology finding a reproducibility rate broadly coherent with other assessments from the same experiment. Our results also confirm the expected role of some contributing factor (unexpectedness of the result and room for bias) while they suggest that the similarity between original study and the replica is not so relevant, thus mitigating some criticism directed to replication experiments.     

Making Information on CSR Scores Salient: A Randomized Field Experiment

We locate a giant ‘school report‐like’ scorecard poster with domain‐specific social and environmental responsibility scores of the ten leading world food companies, measured by the Oxfam ‘Behind the Brands’ world campaign, at the entrance of selected supermarkets. We test the impact of these scores on consumers’ choices by means of a randomized field experiment. Our findings show that the Oxfam ranking matters since the treatment has a positive and significant effect on the market share of the companies with the highest scores and a negative and significant effect on the companies placed at the lowest ranks. Invisibility matters too, with the largest non‐ranked companies selling in the store experiencing a slight fall in their market shares.     

Integrating parametric and non-parametric multivariate analysis of urban growth and commuting patterns in a European metropolitan area

Quality & Quantity - Mono-centric regions have experienced a progressive transformation towards polycentric structures. Transition to discontinuous and dispersed spatial configurations was...     

A triple‐win scenario for horizontal collaboration in logistics: Determining enabling and key success factors

Horizontal collaborations emerged as a new strategic option in the logistics sector during the last decade. However, successful implementation of horizontal collaborations is far from a developed issue due to several barriers that exist or emerge when setting up such collaborative projects. This study aims at identifying the enabling factors supporting successful implementation of horizontal collaborations in the logistics sector, and in identifying key success factors that logistics service providers (LSPs) should consider. Results from a within‐ and cross‐case analysis of two horizontal collaboration projects in the contract logistics sector support the proposed theoretical framework, highlighting both enabling and key success factors of horizontal collaborations. The former refers to factors that are related to LSPs, customers, and industries, whereas the latter results in a triple‐win scenario characterised by LSP competences, trust, and environmental management orientation of successful horizontal collaboration projects.     

Banking and the role of money in the business cycle

This paper enriches a standard New Keynesian model with a simple banking sector to investigate the role of money in the business cycle. Maximum likelihood estimation of the model suggests that money balances play a significant role in explaining the intertemporal allocation of consumption and the dynamics of inflation as described by the forward-looking IS and Phillips curves. Nonetheless, the responses of the model’s variables to shocks remain qualitatively similar to a model without money, suggesting that the omission of money balances leaves the model’s transmission mechanism unaffected.     

Product design strategies in technological shifts: An explorative study of Italian design-driven companies

This article analyzes the relationship between technological shift and product design strategies in the Italian lighting industry, where design players have experienced a discontinuous technological shift due to the introduction of LED (Light Emitting Diode) technology.