Suchergebnisse

Examines the consequences of interference by political parties in the work of public broadcasters.

I challenge Strong's findings that student employment is not related to attendance. I argue that the original analysis is guilty of controlling for a post-treatment variable. As a result, the coefficients in the regression model do not show how employment causes changes in attendance. I show that employment likely has a negative effect on attendance even given severe confounding. Academics should, if asked, tell students that their attendance will likely suffer the more paid work they do.

Polarization is a key characteristic of party systems, but scholars disagree about how polarization relates to the number of parties in a system. Different authors find positive, negative, or null relationships. This relationship is what one would expect if parties were drawn randomly from a super-population with an effective sample size somewhere between the effective and raw number of parties. I test this claim using multiple datasets which report party positions and seat shares, before extending my analysis to consider vote-level polarization, the range of positions, and polarization in presidential and parliamentary regimes. My work extends the Taageperaan research agenda of building interlocking networks of equations relating key quantities of electoral and party systems.

AbstractThe article reviews the selection of towns in England under the Town Deals scheme, a funding scheme set up in the summer of 2019. Under the scheme, 101 towns in England were selected from a long‐list of 541 towns to bid for funding to improve local infrastructure. The findings show that Conservative‐held areas (and in particular marginal Conservative‐held areas) were much more likely to be selected for the scheme, and that this association remains—even when controlling for the ranks that civil servants awarded towns on the basis of qualitative and quantitative criteria. The findings call into question ministers' commitment, under to the Nolan principle, to take decisions 'impartially, fairly and on merit, using the best evidence and without discrimination or bias'.

This article provides an overview of multilevel regression and post-stratification. It reviews the stages in estimating opinion for small areas, identifies circumstances in which multilevel regression and post-stratification can go wrong, or go right, and provides a worked example for the UK using publicly available data sources and a previously published post-stratification frame.