Pricing of Mutual Fund Services in Retirement Plans: Evidence from Open-End Equity Funds

Management fees of mutual funds are more costly to investors than is often realized. Moreover, research indicates that in many cases, the fees are not related to performance, contrary to what might be expected from an efficient market. This study uses sample data to illustrate the consequences of inefficiency to an individual investor. It then turns to an empirical examination of the determinants of the ratio of management fees to total assets (MER), investigating market concentration, fund performance, and non-performance characteristics as explanatory variables. All of these classes of variables contributed to the variation of MERs . JEL Classification G23     

A signalling model of school grades under different evaluation systems

We examine the role of school grades as a signal of worker productivity under different examination systems in relation to errors that may affect student performance. Firms use school grades as a signal of workers’ effective skills, taking into account that these evaluations are effected by stochastic shocks. We show that more precise evaluation systems, being associated with a higher reactivity of wages to school grades, induce students to provide more effort. Low ability students tend to react less than high ability students. Moreover, individuals with low abilities may prefer less accurate evaluation systems. Nevertheless, when productivity increases, these systems become less convenient and the number of individuals preferring them diminishes. Our analysis highlights an important trade-off between centralised and decentralised evaluation systems. On the one hand, frequent evaluations, typical of decentralised systems, weaken the impact on grades of those errors which influence student performance and, so, reduce signal noise, while, on the other hand, different teachers generally adopt different performance assessment standards, leading to noisier evaluations.     

Does Inter‐jurisdictional Competition Engender a “Race to the Bottom”? A Meta‐Regression Analysis

A growing literature documents the existence of strategic political reactions to public expenditure between rival jurisdictions. These interactions can potentially create a downward expenditure spiral (“race to the bottom”) or a rising expenditure spiral (“race to the top”). However, in the course of identifying the existence of such interactions and ascertaining their underlying triggers, the empirical evidence has produced markedly heterogeneous findings. Most of this heterogeneity can be traced back to study design and institutional differences. This article contributes to the literature by applying meta‐regression analysis to quantify the magnitude of strategic inter‐jurisdictional expenditure interactions, controlling for study, and institutional characteristics. We find several robust results beyond confirming that jurisdictions do engage in strategic expenditure interactions, namely that strategic interactions: (i) are weakening over time, (ii) are stronger among municipalities than among higher levels of government, and (iii) appear to be more influenced from tax competition than yardstick competition, with capital controls and fiscal decentralization shaping the magnitude of fiscal interactions.     

What explains the performance of students in a heterogeneous environment? Conditional efficiency estimation with continuous and discrete environmental variables

Efficiency estimations which do not account for the operational environment where production units are operating in may have only a limited value. This article presents a fully nonparametric framework to estimate relative performance of production units when accounting for continuous and discrete background variables. Using insights from recent developments in nonparametric econometrics, we show how conditional efficiency scores can be estimated using a tailored mixed kernel function with a data-driven bandwidth selection. The methodology is applied to the sample of Dutch pupils from the Organization for Economic Co-operation and Development's Programme for International Student Assessment (OECD PISA) data set. We estimate students' performance and the influence of its background characteristics. The results of our application show that several family- and student-specific characteristics have a statistically significant effect on the educational efficiency, while school-level variables do not have impact on performance.