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.     

A quantitative study of financing efficiency of low‐carbon companies: A three‐stage data envelopment analysis

This study set out to evaluate the financing efficiency of low‐carbon companies. Applying a three‐stage data envelopment analysis with the data from 85 listed companies in China's low‐carbon industries over the period 2011 to 2017, this study has found that the overall financing efficiency of low‐carbon companies was relatively high, and the pure technical efficiency was quite steady over the period. The overall financing efficiency of these low‐carbon companies on average tended to change with the scale efficiency. This study has also shown that the scale efficiency was the main constraint influencing the financing efficiency of low‐carbon companies in China over the period. Our results are robust and have significant implications for policy makers and corporate managers.     

Selective hedging with market views and risk limits: the case of Hydro-Quebec

This study presents how Hydro-Quebec manages its short-term financial risks. The quantitative hedging model is articulated over forward and volatility premia and constrained by a yearly risk limit provided by the firm's Finance Committee. The hedging solutions provide the optimal linear hedging parameters and option strike levels. The second part of the paper is devoted to a theoretical analysis of the sensitivity of the optimal solutions to changes in the premia, by means of the general implicit function theorem.     

The joint effect of leader–member exchange and emotional intelligence on burnout and work performance in call centers in China

We examined the joint effect of LMX and emotional intelligence (EI) on burnout and work performance. Results based on data collected from 493 leader-member dyads in the call center of a large Chinese telecommunication company indicated that LMX was negatively related to burnout, yet was not significantly related to objective work performance. Moreover, we examined the effects of the four dimensions of EI (self-emotion appraisal, other-emotion appraisal, use of emotion, and regulation of emotion) on burnout and performance, and found that burnout mediated the link between use of emotion and work performance. Results also showed that LMX was associated with burnout and work performance more strongly for service workers with lower levels of self-emotion appraisal. More surprisingly, the link between LMX and work performance was stronger for service workers with higher levels of use of emotion.     

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.     

Combination of “combinations of <Emphasis Type="Italic">p</Emphasis> values”

We investigate the impact of an uncertain number of false individual null hypotheses on commonly used p value combination methods. Under such uncertainty, these methods perform quite differently and often yield conflicting results. Consequently, we develop a combination of “combinations of p values” (CCP) test aimed at maintaining good power properties across such uncertainty. The CCP test is based on a simple union–intersection principle that exploits the weak correspondence between two underlying p value combination methods. Monte Carlo simulations show that the CCP test controls size and closely tracks the power of the best individual methods. We empirically apply the CCP test to explore the stationarity in real exchange rates and the information rigidity in inflation and output growth forecasts.     

Combining “real effort” with induced effort costs: the ball-catching task

We introduce the “ball-catching task”, a novel computerized task, which combines a tangible action (“catching balls”) with induced material cost of effort. The central feature of the ball-catching task is that it allows researchers to manipulate the cost of effort function as well as the production function, which permits quantitative predictions on effort provision. In an experiment with piece-rate incentives we find that the comparative static and the point predictions on effort provision are remarkably accurate. We also present experimental findings from three classic experiments, namely, team production, gift exchange and tournament, using the task. All of the results are closely in line with the stylized facts from experiments using purely induced values. We conclude that the ball-catching task combines the advantages of real effort tasks with the use of induced values, which is useful for theory-testing purposes as well as for applications.     

Fiscal Stabilization Policy and Fiscal Institutions

In this paper we analyse counter-cyclical fiscal policy withinthe context of a microfounded analysis of business-cycle stabilization.We show that tax and spending instruments can have a usefulcounter-cyclical role, even after allowing for the distortionarynature of the instruments and the need for debt sustainability.A critical barrier to the use of fiscal instruments may be politicaleconomy concerns, and we survey recent suggestions involvingalternative fiscal policy institutions. Footnotes ¹ E-mail addresses: c.b.leith{at}socsci.gla.ac.uk; s.wren-lewis{at}exeter.ac.uk