Empirical bias in intraday volatility measures

Intraday volatility measures have recently become the norm in risk measurement and forecasting. This article empirically investigates the unbiasedness of three of these measures over four different datasets. We find that the three measures are significantly biased and that the bias can have either sign.     

NAIRU Estimates for Germany: New Evidence on the Inflation–Unemployment Tradeoff

Meaningful estimates of the non‐accelerating inflation rate of unemployment (NAIRU) within a Phillips curve framework require an identified tradeoff between inflation and unemployment. However, observations of inflation and unemployment are equilibrium points giving rise to a simultaneity problem. We assess conventional identifying assumptions in the literature on the German NAIRU in a general bi‐variate equations system of inflation and unemplyoment. We use a data‐driven method for identification based on shifts in the relative volatility of shocks to unemployment and inflation to identify the tradeoff for Germany. Our results support models which estimate a contemporaneous effect of unemployment on inflation and those which model inflation and unemployment jointly.     

The role of coalitions at international tariff negotiations: a CGE perspective

Review of World Economics - Developing countries coalitions form an integral part of tariff negotiations that take place under the aegis of the World Trade Organization. While there was only a...     

Why some are more equal: Family firm heterogeneity and the effect on management’s attention to CSR

Research at the family firm–Corporate Social Responsibility (CSR) nexus lacks agreement about whether family firms are more or less socially responsible than their non‐family counterparts, which leads discussion relating to the bright and dark side of socioemotional wealth (SEW). We add to this ongoing debate in two different ways. First, we build on family firm heterogeneity and argue for a gray side to SEW, located between the bright and dark sides that is dependent upon the kind of family firm ownership. Second, we assume that prior research on a diverse set of CSR behaviors may, to some extent, explain the contradicting results; thus, we propose going back a step and focusing on management’s attention to CSR as an important antecedent of CSR behavior. By analyzing the letters to the shareholders of German HDAX firms from 2003 to 2012, this study finds that family ownership positively affects management’s attention to CSR, mainly driven by founders and family foundations. The research adds to our understanding of the family firm–CSR nexus by scrutinizing the role SEW plays in management’s attention to CSR when it comes to family firm heterogeneity.     

The effect of a tax training program on tax compliance and business outcomes of starting entrepreneurs: Evidence from a field experiment

This paper estimates the long-term impact of a short, partly personalized, mandatory tax training program on tax compliance and business outcomes of first-time entrepreneurs. To this end, we combine survey data, audit data and unique register data from the Netherlands' Tax and Customs Administration with a three year long randomized experiment. The results show that the training affects specific domains of tax compliant behavior. Moreover, it has no impact on business survival, but treated entrepreneurs have significantly higher profits compared to the control group due to lower business costs. These outcomes are partially supportive of our hypotheses developed from theories on tax compliance and mental accounting.     

On the power of indicators: how the choice of fuel poverty indicator affects the identification of the target population

In light of the creation of the EU Energy Poverty Observatory (EPOV) in January 2018 and the increase in debates on how fuel poverty is measured, we propose a critical analysis of fuel poverty indicators and demonstrate that choosing a given indicator is central to the identification of the fuel-poorpopulation.

First, we conducted an inter-indicator analysis to show how profiles of fuel-poor households vary depending on the indicator selected. We designed a multidimensional approach based on a multiple correspondence analysis and a hierarchical and partitioning clustering analysis to study characteristics of fuel-poor households. We highlight the difficulty of identifying a fuel-poor ‘typical profile’ and show that the composition of the population depends on the choice of the indicator.

Second, we applied an intra-indicator analysis using two objective expenditure-based indicators with thresholds. In particular, we conducted a sensitivity analysis based on a logit model including variables describing household and dwelling characteristics. We show that the profiles of fuel-poor households as well as the drivers of fuel poverty vary considerably with the chosen threshold level.Given these findings, we stress the need to review how we currently rely on conventional fuel poverty indicators to identify target groups and give some recommendations.     

Repeated interaction in standard setting

Standardization may allow the owners of standard‐essential patents to charge higher royalties than would have been negotiated ex ante. In practice, however, standard‐setting efforts are often characterized by repeated interaction and complementarities among technologies. These features give firms that contribute technology to standards both the ability and the incentive to avoid excessive royalties by threatening to exclude other technology contributors from future rounds of standardization if they charge royalties exceeding ‘fair, reasonable, and nondiscriminatory’ (FRAND) levels. We show that such an outcome can be sustained as a subgame‐perfect equilibrium of a repeated standard‐setting game and examine how the decision‐making rules of standard‐setting organizations (SSOs) affect the sustainability of FRAND royalties. Our analysis provides a novel justification for super‐majority requirements and other rules frequently adopted by SSOs.