Electoral bias at the 2015 general election: reducing Labour’s electoral advantage

Electoral bias results in an asymmetrical seat distribution between parties with similar vote shares. Over recent British general elections Labour held an advantage because it efficiently converted votes into seats. Following the 2015 election result this advantage has reduced considerably, principally because Labour’s vote distribution saw it accumulate more ineffective votes, particularly where electoral support was not converted into seats. By contrast, the vote distribution of the Conservative party is now superior to that of Labour because it acquired fewer wasted votes although Labour retains a modest advantage overall because it benefits from inequalities in electorate size and differences in voter turnout. Features of the 2015 election, however, raise general methodological challenges for decomposing electoral bias. The analysis, therefore, considers the effect of substituting the Liberal Democrats as the third party with the United Kingdom Independence Party. It also examines the outcome in Scotland separately from that in England and Wales. Following this analysis it becomes clear that the method for decomposing electoral bias requires clearer guidelines for its application in specific settings.     

A method for measuring and decomposing electoral bias for the three-party case, illustrated by the British case

The measurement of bias in election results, whereby one or more parties are advantaged in the translation of votes into seats at the expense of others, is attracting increasing attention. So far, almost all of the analytical work – aimed at both identifying the extent of bias in an election result and establishing its causes – has focused on either two-party systems or on the largest two parties in multi-party systems. Building on the firm foundations of one such approach, this paper introduces an original procedure for analysing bias in three-party systems using a readily-appreciated metric for both evaluating the degree of bias and decomposing it into the various causal factors. This is illustrated using the example of the 2005 British general election and a comparison of the results from two-party and three-party analyses of six recent elections there.     

Parties,Recruitment and Modernisation: Evidence from Local Election Candidates

Using pooled data from four separate nationwide surveys of local election candidates conducted from 2006–09 the paper assesses the role and importance of parties in the recruitment and selection of candidates. In many respects candidates are similar to councillors with men outnumbering women in a two to one ratio, with very few non-white candidates coming forward for selection and an age bias towards older rather than younger people. Candidates are found generally to have higher educational qualifications and to be employed in professional and managerial populations than in the public at large. Although a majority of candidates are resident in the ward that they contest a large fraction live elsewhere, suggesting that local parties cast the net widely during the recruitment process. The data suggest that the recruitment networks used by parties are relatively closed with many candidates reporting prior experience as local party officer holders or as members of charitable organisations and local public bodies. For two-thirds of candidates the initial decision to stand follows from a request by someone else, often a fellow party member. Women are more likely to be asked than men. Although candidates are aware of the current under-representation of some social and ethnic groups they are generally against using affirmative action measures to redress any imbalance. Although local parties are sometimes seen as contributing towards the problem of under-representation of some groups on council benches the data suggest than an increase in independent candidates would be unlikely to improve the situation and could perhaps cause it to deteriorate still further.     

Soviet legacies,organized crime,and economic gangsterism: Russia, 1995–2010

In countries like Russia, where legal institutions providing political accountability and protection of property rights are weak, some elite actors accept the use of violence as a tool in political and economic competition. The intensity of this violent exposure may vary depending on the position the province had had in the Soviet administrative hierarchy. The higher the province's position before 1991, the greater the intensity of business violence one is likely to observe there in post-communist times, because the Soviet collapse left a more gaping power vacuum and lack of working informal rules in regions with limited presence of traditional criminal organizations. Post-Soviet entrepreneurs also often find it worthwhile to run for office or financially back certain candidates in order to secure a privileged status and the ability to interpret the law in their favor. Businessmen-candidates themselves and their financial backers behind the scenes may become exposed to competitive pressures resulting in violence during election years, because their competitors may find it hard to secure their position in power through the existing legal or informal non-violent means. To test whether Soviet legacies and Provincial elections indeed cause spikes in commerce-motivated violence, this project relies on an original dataset of more than 6000 attacks involving business interests in 74 regions of Russia, in 1991–2010. The results show that only legislative elections cause increases in violence while there is no firm evidence that executive polls have a similar effect.     

Forecasting the 2005 General Election: A Neural Network Approach

Although neural networks are increasingly used in a variety of disciplines there are few applications in political science. Approaches to electoral forecasting traditionally employ some form of linear regression modelling. By contrast, neural networks offer the opportunity to consider also the non-linear aspects of the process, promising a better performance, efficacy and flexibility. The initial development of this approach preceded the 2001 general election and models correctly predicted a Labour victory. The original data used for training and testing the network were based on the responses of two experts to a set of questions covering each general election held since 1835 up to 1997. To bring the model up to date, 2001 election data were added to the training set and two separate neural networks were trained using the views of our original two experts. To generate a forecast for the forthcoming general election, answers to the same questions about the performance of parties during the current parliament, obtained from a further 35 expert respondents, were offered to the neural networks. Both models, with slightly different probabilities, forecast another Labour victory. Modelling electoral forecasts using neural networks is at an early stage of development but the method is to be adapted to forecast party shares in local council elections. The greater frequency of such elections will offer better opportunities for training and testing the neural networks.