Policy learning and cross-national diffusion in social long-term care insurance: Germany, Japan, and the Republic of Korea

Recently, many developed countries have moved toward comprehensive Long-Term Care (LTC) systems. Along with the conventional explanations of these policy changes based on domestic factors, learning from abroad should be considered. We focus on the social insurance model of LTC, particularly how Japan learned from Germany and the Republic of Korea learned from Japan. Some approaches for how to think about policy learning in general as well as cross-border learning are suggested.     

Society and Social Security in France

An overview is given of some salient demographic characteristics in the dramatically changing socio-economic environment of France. Examination of social security and medical insurance provision shows how social welfare benefits have become more or less vital in the French family's maintenance of improved living standards. It is concluded that French social security services now compare favourably with provisions in other countries, but that birth-rate problems and other social effects of rapid developmental change remain to be overcome.     

The Effects of Financial Incentives in Experiments: A Review and Capital-Labor-Production Framework

We review 74 experiments with no, low, or high performance-based financial incentives. The modal result has no effect on mean performance (though variance is usually reduced by higher payment). Higher incentive does improve performance often, typically judgment tasks that are responsive to better effort. Incentives also reduce “presentation” effects (e.g., generosity and risk-seeking). Incentive effects are comparable to effects of other variables, particularly “cognitive capital” and task “production” demands, and interact with those variables, so a narrow-minded focus on incentives alone is misguided. We also note that no replicated study has made rationality violations disappear purely by raising incentives.     

A critical evaluation of competing representations of the relationship between formal and informal work

Analysing the extensive literature on informal work reveals multiple, often contradictory, views regarding its relationship with formal work. The aim of this paper is to evaluate critically these competing claims. Evaluating in turn the predominant views of informal work as a residue, by-product, complement and/or alternative to formal work, reveals that universal generalizations are not possible and that all of these articulations only apply in specific contexts. However, rather than simply conclude that these contrasting readings of the relationship between informal and formal work are therefore context-bound generalizations, two features common to all these perspectives are identified that necessitate a more fundamental rethinking of the relationship between formal and informal work. These relate to the way in which all firstly, simplistically attribute one form of work with positive features (e.g. modernization, virtue and progress) and the other with negative attributes (e.g. tradition, backwardness, exploitation) and, secondly, delineate formal and informal work as discrete and separate entities. The paper concludes by setting out a research agenda to not only highlight the political values underpinning each of these representations but also achieve a fuller and finer-grained understanding of the relations between informal and formal work.     

Variable Selection in Linear Mixed Models Using an Extended Class of Penalties

There is an emerging need to advance linear mixed model technology to include variable selection methods that can simultaneously choose and estimate important effects from a potentially large number of covariates. However, the complex nature of variable selection has made it difficult for it to be incorporated into mixed models. In this paper we extend the well known class of penalties and show that they can be integrated succinctly into a linear mixed model setting. Under mild conditions, the estimator obtained from this mixed model penalised likelihood is shown to be consistent and asymptotically normally distributed. A simulation study reveals that the extended family of penalties achieves varying degrees of estimator shrinkage depending on the value of one of its parameters. The simulation study also shows there is a link between the number of false positives detected and the number of true coefficients when using the same penalty. This new mixed model variable selection (MMVS) technology was applied to a complex wheat quality data set to determine significant quantitative trait loci (QTL).     

Inter‐agency Cooperation and New Approaches to Employability

This article examines the role of inter‐agency cooperation, which is one form of ‘partnership’, in new approaches to employability in the UK. The article articulates a ‘model for effective partnership working’ on employability. This model is applied first in a general review of employability policy and then to discuss case study research on the recent ‘Pathways to Work’ and ‘Working Neighbourhoods’ pilots. It is argued that successful partnerships need a clear strategic focus based on a necessity for inter‐agency cooperation and institutional arrangements that allow for shared ownership, trust and mutualism, and flexibility in resource‐sharing. While some of these factors are apparent in UK employability services, an over‐reliance on contractualism and centralized organizational structures may undermine partnership‐based approaches. Many of the success factors associated with effective partnership working appeared to be in place, even though the role of the Public Employment Service was fundamentally different in each case (as a key actor in implementing the first pilot, but largely withdrawing from the implementation role in the second). The article concludes by outlining the relevance of this model and the case study findings to discussions of the future development of employability policies and related partnership working.     

The Irish macroeconomic response to an external shock with an application to stress testing

The Irish economy has recently endured a period of turbulence as a result of the collapse of the domestic property market bubble and the onset of the global financial crisis. There are two critical vulnerabilities in the Irish economy at present. The first is the potential for sluggish economic growth due to a slowdown in external demand, which impacts on the government's ability to meet budgetary targets. The second concern relates to the financial stability of the banking system given the escalating mortgage crisis. Our results show that Irish economic growth is highly sensitive to the performance of its trading partners and any international slowdown will hinder Ireland's growth prospects. The model used suggests that the appropriate policy response is to pursue further gains in competitiveness. We estimate the impact of an external slowdown on mortgage delinquency using a new dataset on the loan books of the commercial banking sector. The results suggest that a negative one standard deviation shock to US GDP growth leads to an increase of 1600 in the number of mortgages in arrears for at least 90 days. Arrears are driven by unemployment and negative equity in the model. We discuss policies to contain the mortgage crisis by improving these intermediate target variables.