Beliefs of and attitudes toward political advertising: An exploratory investigation

The major goals of this study were to identify voters' belief structures about political advertising, develop a scale to measure beliefs, and examine how the identified beliefs are related to overall attitudes toward political advertising. The reliabilities, factor structure, and validity tests indicate that five belief dimensions—information, veracity, cynicism, money politics, and entertainment—have sound and stable properties. The scale demonstrates that voters assess political advertising at the instrumental level (e.g., information, veracity, and entertainment) as well as the institutional level (e.g., cynicism and money politics). The results showed that not all beliefs predicted overall attitudes. Furthermore, the results indicated that political involvement was a significant factor in influencing both beliefs and attitudes. © 2009 Wiley Periodicals, Inc.     

MULTIVARIATE METHODS FOR MONITORING STRUCTURAL CHANGE

Detection of structural change is a critical empirical activity, but continuous ‘monitoring’ for changes in real time raises well‐known econometric issues that have been explored in a single series context. If multiple series co‐break then it is possible that simultaneous examination of a set of series helps identify changes with higher probability or more rapidly than when series are examined on a case‐by‐case basis. Some asymptotic theory is developed for maximum and average CUSUM detection tests. Monte Carlo experiments suggest that these both provide an improvement in detection relative to a univariate detector over a wide range of experimental parameters, given a sufficiently large number of co‐breaking series. This is robust to a cross‐sectional correlation in the errors (a factor structure) and heterogeneity in the break dates. We apply the test to a panel of UK price indices. Copyright © 2011 John Wiley & Sons, Ltd.     

Do Teachers Matter? Measuring the Variation in Teacher Effectiveness in England*

Using a unique primary dataset for the UK, we estimate the effect of individual teachers on student outcomes, and the variability in teacher quality. This links 7,305 pupils to the individual teachers who taught them, in each of their compulsory subjects in the high‐stakes exams at age 16. We use point‐in‐time fixed effects and prior attainment to control for pupil heterogeneity. We find considerable variability in teacher effectiveness, a little higher than the estimates found in the few US studies. We also corroborate recent findings that observed teachers’ characteristics explain very little of the differences in estimated teacher effectiveness.     

NEW FORMS OF PROVIDER IN THE ENGLISH NATIONAL HEALTH SERVICE

ABSTRACT 1 : A wide ranging set of reforms is being introduced into the English National Health Service (NHS). They are designed to increase the market‐like behaviour of providers of care with a view to improving efficiency, quality and responsiveness of services. This paper is concerned with one aspect of those reforms: namely the policy to increase the diversity of types of providers of care to NHS patients. In this context, increasing diversity means that providers will not all be standard publicly owned NHS organizations. They can be publicly owned but autonomous, or independent (both in for‐profit and not for profit). The paper discusses the wide range of organizational forms available, analyzing their governance structures It then discusses the small amount of evidence currently available about the performance of diverse providers of health care.     

Trip end models of local rail demand in England and Wales

This paper details models which have been developed to forecast the total number of trips made from local rail stations in England and Wales over a one year period. The use of multiple linear regression and geographically weighted regression in calibration are compared, with both explaining over 75% of the variation in the observed data. The latter technique has not previously been used in rail demand modelling, and allows significant spatial variations in the effect of independent variables to be identified and mapped. A number of catchment definition methods are investigated, as is the inclusion of a wide range of demographic and service related explanatory variables. The models developed are used to forecast usage at stations on the recently opened Ebbw Vale branch line in South Wales and these predictions are compared to initial usage figures.     

Knowlege networks for innovation in small Scottish software firms

This paper examines the emergence of small indigenous software companies in Scotland, focusing on the strengths and weaknesses of the region's socio-economic infrastructure as a foundation for innovative new business ventures. Following a brief review of some of the accepted wisdom on high-tech start-ups and regional economic development the paper provides some background information on the Scottish region, comparing new firms in the software industry with the foreign multinationals that dominate the local IT industry. A framework - the ‘sociotechnical constituencies’ approach - is then proposed that allows the author to examine networks of specialist knowledge that underlie new business development. Agglomeration effects and the influence of ‘clusters’ of complementary types of knowledge, expertise and innovative competencies at the regional level are at the heart of the analysis. The framework is applied to a sample of local firms, looking at how ‘learning’ via sociotechnical networks underlies their evolution. Policy-makers' attempts to boost the region's new business birth rate and promote the hoped-for ‘silicon glen’ effect are viewed in the light of the study's findings.