Explaining party cohesion and discipline in democratic legislatures: purposiveness and contexts

Legislative party discipline and cohesion are important phenomena in the study of political systems. Unless assumptions are made that parties are cohesive and act as unified collectivities with reasonably well-defined goals, it is really difficult, if not impossible, to consider their electoral and legislative roles usefully. But levels of legislative party cohesiveness are also important because they provide us with crucial information about how legislatures/ parliaments function and how they interact with executives/governments. Without cohesive (or disciplined) parties,1 government survival in parliamentary systems is threatened because executive and legislative powers are fused while in separated systems presidents' bases of legislative support become less stable. How do we explain varying levels of legislative party cohesion? The first part of this article draws on the purposive literature to explore the benefits and costs to legislators in democratic legislatures of joining and acting collectively and individualistically within political parties. This leads on to a discussion of various conceptual and empirical problems encountered in analysing intra-party cohesion and discipline in democratic legislatures on plenary votes. Finally, the article reviews the extant empirical evidence on how a multiplicity of systemic, party-levels and situational factors supposedly impact cohesion/discipline levels. The article ends with a discussion of the possibilities and limitations of building comparative models of cohesion/discipline.

Discipline-specific writing for business students: Research, practice and pedagogy

In the past few years strong arguments have been made for locating academic writing in higher education within the students’ disciplinary contexts in the belief that a full understanding of the role and dynamic of writing can only be achieved if it is examined as a social practice in its context of production. This chapter reports on a study that examined the conceptualisations of writing for business by a group of undergraduate and postgraduate lecturers and students at the business school of a British university. Based on a critical analysis of the literature reviewed for the study, and the data collected, the chapter contributes to existing writing pedagogy with a number of research-informed transformative pedagogical applications for teaching discipline-specific writing for business. Such applications which combine context-oriented practices (e.g. raising awareness of the role of disciplinary values in shaping writing) and text-oriented activities (e.g. discipline-specific referencing) aim at influencing the pedagogic agenda for teaching writing in higher education. The chapter concludes with questions for reflection and discussion that provide an opportunity for readers to reflect upon their own teaching environment.

Macroeconomic information, structural change, and the prediction of fiscal aggregates

Previous research on the prediction of fiscal aggregates has shown evidence that simple autoregressive models often provide better forecasts of fiscal variables than multivariate specifications. We argue that the multivariate models considered by previous studies are small-scale, probably burdened by overparameterization, and not robust to structural changes. Bayesian Vector Autoregressions (BVARs), on the other hand, allow the information contained in a large data set to be summarized efficiently, and can also allow for time variation in both the coefficients and the volatilities. In this paper we explore the performance of BVARs with constant and drifting coefficients for forecasting key fiscal variables such as government revenues, expenditures, and interest payments on the outstanding debt. We focus on both point and density forecasting, as assessments of a country’s fiscal stability and overall credit risk should typically be based on the specification of a whole probability distribution for the future state of the economy. Using data from the US and the largest European countries, we show that both the adoption of a large system and the introduction of time variation help in forecasting, with the former playing a relatively more important role in point forecasting, and the latter being more important for density forecasting.