Brussels between Bern and Berlin: Comparative Federalism Meets the European Union

In the current debate on the future European order, the European Union (EU) is often described as an "emerging federation." This article claims that federalism is not exclusively useful in deliberating about the future of the EU. Non-statecentric conceptions of federalism provide a better understanding of the current structure and functioning of the European system of multilevel governance than most theories of European integration and international relations do. We combine political and economic perspectives of federalism to analyze the "balancing act" between effective political representation and efficient policy-making in the EU. Drawing on the examples of Germany and Switzerland in particular, we argue that the increasing delegation of powers to the central EU level needs to be paralleled by strengthened patterns of fiscal federalism and an empowered representation of functional interests at the European level. Without such "rebalancing," the current legitimacy problems of the EU are likely to intensify.     

Federal policy mandating safer cigarettes: a hypothetical simulation of the anticipated population health gains or losses.

If manufacturing a safer cigarette is technically possible--an open question--then mandating that tobacco manufacturers improve the safety of cigarettes would likely have both positive and negative implications for the nation's health. On the one hand, removing toxins may reduce the incidence of smoking-related diseases and premature mortality in smokers. On the other hand, smokers might be less inclined to quit, those who have quit might resume the habit, and youth who have never smoked will have one less reason to avoid tobacco use. To assess the expected population health impacts of a legislative or regulatory mandate, we created the Tobacco Policy Model, a system dynamics computer simulation model. The model relies on secondary data and simulates the U.S. population over time spans as long as 50 years. Our simulation results reveal that even if requiring cigarettes to be safer makes smoking more attractive and increases tobacco use, a net gain in population health is still possible.     

Distributional impact assessments and the record of the Coalition Government: the tyranny of numbers without interpretation

This paper reflects upon the gross discrepancies between the reassurances given in 2010 by the 2010-2015 UK Coalition Government that their budget and welfare cuts would fall ‘fairly’ across the income spectrum, and the reality of what had happened by the end of that government. It asks how the ‘distributional impact assessment’ provided with the 2010 Comprehensive Spending Review could have been so wrong. In seeking to answer this question, types of systematic bias are considered along with a discussion of ‘marginality’ in assessments of impact. Drawing upon the role of ‘power’ in impact assessment, it traces the ways in which methodological assumptions can eclipse the real life effects of policies behind ‘the average’ as well as by the unfair selection of the ‘unit-of-analysis’.     

Eliciting Risk Attitudes in the Field: Surveys or Experimental Methods? An Empirical Comparison in Rural Niger

We compare several risk preference elicitation methods – including incentivised, non-incentivised, and framed methods as well as a traditional Likert survey question – in a developing country and empirically test how well consequent measures of risk attitudes predict risk taking behaviour. We find that Likert scale and non-incentivised framed survey questions are not sufficient substitutes for costlier incentivised methods in rural Niger. Instead, the incentivised framed question works best while a simplified incentivised lottery question works almost as well. More risk and ambiguity averse farmers are less likely to adopt fertiliser microdosing indicating the importance of insurance and strategies to promote learning.     

‘Fat cat’ lawyers and ‘illegal’ migrants: the impact of intersecting hostilities and toxic narratives on access to justice

ABSTRACT

This article examines how three spheres of hostility intersect to prevent effective access to justice for those living with insecure immigration status. The neoliberal governance model, the barren justice landscape and the hostile environment are supported by the cynical construction of the ‘fat cat’ lawyer and the toxic ‘folk devil’ narrative of the ‘bogus’ asylum seeker. To the extent that the judiciary have frustrated the more obvious, ideologically driven, attempts to restrict access to justice for migrants, the austerity predicated measures pursuant to the Legal Aid, Sentencing and Punishment of Offenders Act 2012 (LASPO) have completely altered the legal landscape. The analysis is informed by the findings of the ‘Legal advice and support for persons with insecure status’ project (hereafter LAPIS) in Nottingham which explores the challenges faced by service providers and the lived experiences of those with insecurity of status. It is clear that access to justice is a passport to the realisation of other rights, yet participants struggled to access a remedy because legal advice is too often out of reach.     

Estimating Individual Contributions to Complex DNA SNP Mixtures.,

High‐throughput sequencing (HTS) of large panels of single nucleotide polymorphisms (SNPs) provides an alternative or complimentary approach to short tandem repeats (STRs) panels for the analysis of complex DNA mixture forensic samples. For STRs, methods to estimate individual contribution concentrations compare capillary electrophoresis peak heights, peak areas, or HTS allele read counts within a mixture. This article introduces three approaches (mean, median, and slope methods) for estimating individual DNA contributions to forensic mixtures for HTS/massively parallel sequencing (MPS) SNP panels. For SNPs, the major:minor allele ratios or counts, unique to each contributor, were compared to estimate contributor proportion within the mixture using the mean, median, and slope intercept for these alleles. The estimates for these three methods were typically within 5% of planned experimental contributions for defined mixtures.