Forecasting the 2015 British general election: The 1992 debacle all over again?

This article introduces and reviews a set of twelve academic forecasts of the 2015 British general election. Along with the vast majority of others including journalists and betting markets, they failed by a big margin to predict that the Conservatives would emerge with an overall majority of seats. Several suffered from the 1992 scale inaccuracies of the vote-intention opinion polls. Forecasts based on other data sources typically did a bit better, but also fell short. Nonetheless, this was not 1992 all over again. The dramatic collapse of the Liberal Democrats and rise of the SNP, UKIP and Greens were successfully anticipated. Also this collection includes numerous methodological advancements, with several new methods and developments to established approaches.     

Does the economy really matter for satisfaction with democracy? Longitudinal and cross-country evidence from the European Union

Research focusing on the relationship between the economy and satisfaction with democracy often presents mixed results. This article argues that this uncertainty is mainly due to model specification, number of surveys and measurement. After discussing why the role of the economy should not be overlooked, by using an empirical strategy that applies Bayesian cross-classified mixed models to 572 national surveys in 28 European countries from 1973 to 2013 drawn from the Eurobarometer, it is shown that objective macro-economic indicators and a subjective indicator seem to substantially affect citizens’ satisfaction with democracy in Europe. The findings are robust when controlling for various institutional and political variables and using alternative model specifications.     

Public confidence in the judiciary: the interaction between political awareness and level of democracy

Apart from the studies that focus on public attitudes toward higher courts in advanced democracies, we know little about the factors that can explain public confidence in the judiciary in a comparative setting. In this regard, the goal of this study is to explain whether, and to what extent, the country's level of democracy moderates the impact of political awareness on public confidence in the judiciary. This study uses hierarchical linear models to analyse the interaction between individual and country level factors by using the World Values Survey (2005–2009) data for 49 countries and various other data sources. Our empirical results show that in advanced democracies political awareness variables like education and political participation have a positive impact on public confidence in the judiciary, whereas in countries with weak levels of democracy higher political awareness leads to increased cynicism about the judiciary. These results suggest that a one-size-fits-all approach to explain confidence in the judiciary is not possible when we are dealing with a wide range of societies that vary in terms of many characteristics, both institutional and cultural.     

博弈论维度的警察临战

博弈论是研究策略行为的科学,它研究理性的个体在相互依存时如何作出决策。警察临战具有博弈性,警察临战活动充满着多方利益与策略的博弈。基于对警察临战博弈要素和基本类型的分析,博弈论对警察临战活动具有三个层面的指导意义：观念层面,博弈论将为我们提供新的警察临战行为理念;制度层面,博弈论可以为临战制度的架构提供参考;策略层面,博弈论将为我们制定临战方案提供参考。     

任务型组织的动态能力建构

在社会复杂性和不确定性迅速增长的时代,考察组织相对于环境变动的动态能力显得尤其重要。在组织能力的问题上,常规组织往往着重于组织的静态能力建设,而对其动态能力则很少给予关注。与常规组织不同,任务型组织要求发展出一种动态能力。这种动态能力虽然表现为一种与环境相适应的能力,而实际上则是一种更快更好地完成任务的能力。     

Loess:: a nonparametric, graphical tool for depicting relationships between variables

Loess is a powerful but simple strategy for fitting smooth curves to empirical data. The term “loess” is an acronym for “local regression” and the entire procedure is a fairly direct generalization of traditional least-squares methods for data analysis. Loess is nonparametric in the sense that the fitting technique does not require an a priori specification of the relationship between the dependent and independent variables. Although it is used most frequently as a scatterplot smoother, loess can be generalized very easily to multivariate data; there are also inferential procedures for confidence intervals and other statistical tests. For all of these reasons, loess is a useful tool for data exploration and analysis in the social sciences. And, loess should be particularly helpful in the field of elections and voting behavior because theories often lead to expectations of nonlinear empirical relationships even though prior substantive considerations provide very little guidance about precise functional forms.     

Competing Risks, Persistence, and Desistance in Analyzing Recidivism

A statistical procedure is developed to analyze recidivism in samples whichare subject to the presence of desisters and to multiple modes ofreconviction. This allows for a more accurate study of individuals'transition and hazard in the type and timing of offenses following aspecific type of conviction. The use of a nonparametric approach forinvestigating failure in the presence of other acting causes is shown;initial estimators of the probabilities of reconviction for different typesof offenses are obtained, and the method can be used both to display thedata and to choose an appropriate parametric family for the survivaltimes. An exponential mixture model for competing risks is presented insuch a way that it allows us to adjust for concomitant variables and toassess their effects on the probabilities both of reconviction forpredetermined types of offenses and desistance and of the hazards ofreconviction; a method for assessing calibration of predicted survivalprobabilities is suggested. A 21-year follow-up of persons convicted ofindecent assault on a female in 1973 illustrates the methods; we find ahigh probability of sexual reconviction for individuals with previoussexual convictions and evidence of diversity and a raised hazard ofreconviction for young chronic offenders.     

Party strategies and electoral competition in post-Communist countries: Evidence from Poland

Poland's major post-Communist party, the SLD, was an electorally successful legacy party during the 1990's. An analysis of Polish National Election Studies data and data from a separate study of new firm creation in Poland indicates their success was built on two important and related factors. One is the growth of new firms, which stimulated the growth of a centrist constituency who voted for parties supporting economic reforms. Second, the SLD adapted to this constituency by themselves becoming more economically liberal, as documented by Grzyma?a-Busse (2002). A conditional logit model of voter choice in the 1997 and 2001 elections relates votes to the distance between voters' preferences on economic policies and the positions of the competing parties. From this analysis we estimate that if the SLD had remained an ideological non-reformist party as did the KS?M in the Czech Republic and the CPRF in Russia it would have been a far weaker party as measured by vote and seat shares. Without the new firm creation, an ideological SLD cum KS?M could have been electorally successful as was the CPRF. The paper concludes by contrasting the the Polish, Czech and Russian post-Communist parties and extending the implications of the results to other developing and industrial economies faced with the need for structural change.     

Using "Shocks and Rumors" to Teach Adaptive Thinking

The business landscape is constantly changing. Moreover, because of globalization, increased competition, and instant communication, the rate of change is accelerating. A student who has practiced only static scenarios is ill prepared to recognize, process, or adapt to changing negotiation issues and interests. Thus, negotiation instructors must change our practices to prepare students to succeed in the increasingly dynamic negotiation situations they will face by utilizing simulations that are also dynamic. This article reviews research on adaptive thinking, applies it to negotiation training, and provides examples of dynamic simulations that require students to adapt. Finally, it offers advice on how to make existing cases dynamic by using "shocks and rumors."     

A New Approach of Juvenile Age Estimation using Measurements of the Ilium and Multivariate Adaptive Regression Splines (MARS) Models for Better Age Prediction

Juvenile age estimation methods used in forensic anthropology generally lack methodological consistency and/or statistical validity. Considering this, a standard approach using nonparametric Multivariate Adaptive Regression Splines (MARS) models were tested to predict age from iliac biometric variables of male and female juveniles from Marseilles, France, aged 0–12 years. Models using unidimensional (length and width) and bidimensional iliac data (module and surface) were constructed on a training sample of 176 individuals and validated on an independent test sample of 68 individuals. Results show that MARS prediction models using iliac width, module and area give overall better and statistically valid age estimates. These models integrate punctual nonlinearities of the relationship between age and osteometric variables. By constructing valid prediction intervals whose size increases with age, MARS models take into account the normal increase of individual variability. MARS models can qualify as a practical and standardized approach for juvenile age estimation.