Firm size and the demand for energy in Dutch manufacturing, 1978–1986

As in most other industrialized countries the oil price shocks in the seventies led to major rearrangements in the production processes in Dutch manufacturing. The substitution of (expensive) energy consuming processes by less energy intensive ones is analyzed by means of a dynamic equation, relating the energy demand to the level of output, the price of energy and the prices of other inputs. Using a rather unique data set, consisting of panel data pertaining to several thousands of manufacturing firms, it is found that large firms can reduce energy costs more than small firms.This article reports on research carried out in the MOPS-project. Participants of MOPS are the Netherlands Central Bureau of Statistics, the Research Institute for Small and Medium-sized Business in the Netherlands, and the Erasmus University Rotterdam. The views expressed in this article do not necessarily reflect the policies of the Netherlands Central Bureau of Statistics.The authors thank Bert Balk, Jos van Deventer, Peter Kooiman, Huib van de Stadt, Roy Thurik, Wim Vosselman, Ton Werkhoven and two anonymous referees for helpful comments.     

Why panel tests of purchasing power parity should allow for heterogeneous mean reversion

Recent studies of purchasing power parity (PPP) use panel tests that fail to take into account heterogeneity in the speed of mean reversion across real exchange rates. In contrast to several other severe restrictions of panel models and tests of PPP, the assumption of homogeneous mean reversion is still widely used and its consequences are virtually unexplored. This paper analyzes the properties of homogeneous and heterogeneous panel unit root testing methodologies. Using Monte Carlo simulation, we uncover important adverse properties of the panel approach that relies on homogeneous estimation and testing. More specifically, power functions are low and assume irregular shapes. Furthermore, homogeneous estimates of the mean reversion parameters exhibit potentially large biases. These properties can lead to misleading inferences on the validity of PPP. Our findings highlight the importance of allowing for heterogeneous estimation when testing for a unit root in panels of real exchange rates.     

Socially Responsible Fixed-Income Funds

Abstract:  The growing importance of SRI in the investment arena has resulted in considerable academic interest in the performance of socially responsible equity mutual funds. Remarkably, no attempts have been made to evaluate the performance of mutual funds that invest in socially responsible fixed-income securities. This study fills that gap by measuring the performance of socially responsible bond and balanced funds relative to matched samples of conventional funds, over the period 1987–2003. Using multi-index performance evaluation models, we show that the average SRI bond fund performed similar to conventional funds, while the average SRI balanced fund outperformed its conventional peers by more than 1.3% per year. The expenses charged by SRI funds, match those charged by conventional funds and, evidently, do not cause SRI funds to underperform.     

Increasing correlations or just fat tails?

Increasing correlation during turbulent market conditions implies a reduction in portfolio diversification benefits. We investigate the robustness of recent empirical results that indicate a breakdown in the correlation structure by deriving theoretical truncated and exceedance correlations using alternative distributional assumptions. Analytical results show that the increase in conditional correlation could be a result of assuming conditional normality for the return distribution. When assuming a popular alternative distribution – the bivariate Student-t_r – we find significantly less support for an increase in conditional correlation and conclude that this is due to the presence of fat tails when assuming normality in the return distribution.     

Marketers’ use of alternative front-of-package nutrition symbols: An examination of effects on product evaluations

How front-of-package (FOP) nutrition icon systems affect product evaluations for more and less healthful objective nutrition profiles is a critical question facing food marketers, consumers, and the public health community. We propose a conceptually-based hierarchical continuum to guide predictions regarding the effectiveness of several FOP systems currently used in the marketplace. In Studies 1a and 1b, we compare the effects of a broad set of FOP icons on nutrition evaluations linked to health, accuracy of evaluations, and purchase intentions for a single product. Based on these findings, Studies 2 and 3 test the effects of two conceptually-different FOP icon systems in a retail laboratory in which consumers make comparative evaluations of multiple products at the retail shelf. While there are favorable effects of each system beyond control conditions with no FOP icons, results show that icons with an evaluative component that aid consumers’ interpretations generally provide greater benefits (particularly in product comparison contexts). We offer implications for consumer packaged goods marketers, retailers, and the public policy and consumer health communities.