CEO contract design: How do strong principals do it?

We study changes in chief executive officer (CEO) contracts when firms transition from public ownership with dispersed owners to private ownership with strong principals in the form of private equity sponsors. The most significant changes are that a significant portion of equity grants performance-vests based on prespecified measures and that unvested equity is forfeited by fired CEOs. Private equity sponsors do not reduce base salaries, bonuses, and perks, but redesign contracts away from qualitative measures. They use some subjective performance evaluation, do not use indexed or premium options, and do not condition vesting on relative industry performance. We compare the contracts to predictions from contracting theories, and relate our results to discussions of executive compensation reform.     

Der Wert der Worte – Wie digitale Methoden helfen,Kommunikations- und Wirtschaftswissenschaft zu verknüpfen

The use of digital methods offers a chance to connect communication science with economics. In recent years, a growing body of research in economics has turned its attention to media content, assuming that journalistic coverage contains hitherto neglected information relevant for business cycles or financial market movements. Interestingly, these approaches largely ignore communication science’s established theories and empirical findings. This paper aims at building a bridge between the two disciplines. Its contribution is threefold: a) it provides an overview of the most important approaches in economics that incorporate media content; b) it operationalizes the concept of the “narrative”, as it is used in economics, and distinguishes it from the concept of the “frame”, essential in communication science; c) exemplifying our approach, we present a new Uncertainty Perception Indicator (UPI) based on the topic modeling method Latent Dirichlet Allocation (LDA), that enables us to isolate different factors of economic policy uncertainty contained in media coverage.Economic studies treat journalistic media content as a proxy for sentiment prevalent in society. Typically, they rely on frequency analyses of certain keywords, like “recession” or “inflation”. Even more sophisticated approaches, such as Shiller (2017), who calls for establishing a new branch of “narrative economics”, or Baker et al. (2016), who construct a comprehensive set of media-based indicators, make no or little reference to communication science. This neglect could be discounted as pure ignorance, but this misses the point. Being a predominantly empirical discipline today, economics relies on long time-series of data, that have not been available for media content, a gap rendering the two disciplines largely incompatible.The gap is also reflected in terminology. “Frame” is a major analytical concept in communication science, while the term “narrative” has become in vogue in economics. Although both concepts are closely connected, they are rarely properly distinguished from each other. “Frame” can be considered as a rather static concept that applies during a limited period of time. “Narrative”, in contrast, implies dynamic properties, i.?e., the sorting of events, causes and effects over time, that explain how the current state of the world has come about, as stressed by Tenenboim-Weinblatt et al. (2016).In this paper, we propose a synergetic concept. Following Entman (1993), a media frame contains four elements: a) a problem definition, b) a problem diagnosis, c) a moral judgement, and d) possible remedies. We augment this approach by adding two more elements. According to our definition, a media narrative comprises a frame, or several ones, plus e) one or several protagonists—persons, institutions, or social groupings (nations, classes, etc.)—, whose relationships are (often) antagonistic and may change over time; and f) events, that are chronologically integrated and that are (often) assumed to constitute causal relationships. To put it metaphorically: a frame is to a narrative what a still photo is to a movie. Both are valuable concepts; the still photo shows more details, while the movie provides a contextualization over time.Topic models like LDA are valuable tools for the measurement of media narratives. The probabilistic approach enables researchers to conduct what may be called “macro-content analyses”, an exercise that focuses on average reporting patterns in large text corpora and can be translated into numerical time-series, thereby facilitating compatibility with empirical economics. Based on a topic’s frequency analysis, its top words and top articles, “mean media narratives” can be formulated, that integrate certain events, protagonists and frames.In our case study, we exemplify this concept by applying it to an indicator that is currently popular in economics, the Economic Policy Uncertainty Index (Baker et al. 2016). The EPU aims at capturing political developments that are exogenous to economic models and therefore unpredictable. Essentially, the indicator is based on the counts of articles containing a set of search words, such as “uncertain”, “economic” as well as institutions like the European Central Bank. Using identical search words as the EPU for Germany, we construct a similar corpus for the years 1994 to 2017. By conducting an LDA-based analysis, we are able to extract additional relevant information from the data. In particular, the evolution of different uncertainty factors and their development over time can be detected.Our Uncertainty Perception Indicator (UPI) contains six relevant news topics that are highly relevant for market developments: central banks, the national government, international politics, the business cycle, companies, and society. While the EPU merely shows how often uncertainty concerning economic policy is mentioned in the media, the UPI also indicates the origins of uncertainty. By grouping the six topics into three analytical categories—governments, markets, and society—we find a distinct break in the time-series. Before the financial crisis of 2008, the perception of uncertainty was rather balanced between the three factors. Since then, however, economic uncertainty has mainly been driven by political actors, most prominently by central banks. The corresponding narratives are a two-chapter story: in the first part, up to 2008, stable financial markets and smoothed business cycles prevailed, making central banking a rather straight-forward task. The second part is characterized by multiple crises, leaving central banks as dominant actors, that intervened with unconventional measures. Thereby, they became stabilizing forces, but at the same time sources of uncertainty with respect to the timing and the impact of these measures.     

Commodity taxes and welfare under endogenous market conduct

We consider consumption taxes in a model of endogenous Cournot versus Bertrand competition. It is argued that when the choice of unit versus ad valorem taxes affects longer-term decisions beyond the customary price or quantity decisions, the mix of the two taxes co-determines market conduct. This gives ad valorem taxes an anti-competitive effect that harms ad valorem taxes’ efficiency in comparison with unit taxes. We show that a mix of the taxes—or a unit tax alone if we compare one or the other of the taxes—is sometimes welfare superior on account of consumer-price and tax revenue effects. A practical implication of our findings is that pass-through rates are only sometimes useful guides for policy. In fact, we show when the proper response to demand for higher revenue is a higher unit tax rate and a lower ad valorem tax rate.     

Keeping others in our mind or in our heart? Distribution games under cognitive load

It has recently been argued that giving is spontaneous while greed is calculated (Rand et al., in Nature 489:427–430, 2012). If greed is calculated we would expect that cognitive load, which is assumed to reduce the influence of cognitive processes, should affect greed. In this paper we study both charitable giving and the behavior of dictators under high and low cognitive load to test if greed is affected by the load. This is tested in three different dictator game experiments. In the dictator games we use both a give frame, where the dictators are given an amount that they may share with a partner, and a take frame, where dictators may take from an amount initially allocated to the partner. The results from all three experiments show that the behavioral effect in terms of allocated money of the induced load is small if at all existent. At the same time, follow-up questions indicate that the subjects’ decisions are more impulsive and less driven by their thoughts under cognitive load.     

Identification of Lead Users for Consumer Products via Virtual Stock Markets*

Newly launched products in the consumer goods and services markets show high failure rates. To reduce the failure rates, companies can integrate innovative and knowledgeable customers, the so‐called lead users, into the new product development process. However, the detection of such lead users is difficult, especially in consumer product markets with very large customer bases. A new and potentially valuable approach toward the identification of lead users involves the use of virtual stock markets, which have been proposed and applied for political and business forecasting but not for the identification of experts such as lead users. The basic concept of virtual stock markets is bringing a group of participants together via the Internet and allowing them to trade shares of virtual stocks. These stocks represent a bet on the outcome of future market situations, and their value depends on the realization of these market situations. In this process, a virtual stock market elicits and aggregates the assessments of its participants concerning future market developments. Virtual stock markets might also serve as a feasible instrument to filter out lead users, primarily for the following two reasons. First, a self‐selection effect might occur because sophisticated consumers with a higher involvement in the product of interest decide to participate in virtual stock markets. Second, a performance effect is likely to arise because well‐performing participants in virtual stock markets show a better understanding of the market than their (already self‐selected) fellow participants. So far, only limited information exists about these two effects and their relation to lead user characteristics. The goal of this paper is to analyze the feasibility of virtual stock markets for the identification of lead users. The results of this empirical study show that virtual stock markets can be an effective instrument to identify lead users in consumer products markets. Furthermore, the results show that not all lead users perform well in virtual stock markets. Hence, virtual stock markets allow identifying lead users with superior abilities to forecast market success.     

Estimates of gender differences in firm’s access to credit in Sub-Saharan Africa

Based on firm level data from 16 Sub-Saharan African countries we show how three different measures of credit constraints lead to three different estimates of gender differences in manufacturing firms’ credit situation. Using a perception based credit constraint measure female owned firms appear relatively more constrained than male owned firms. Using formal financial access data we find no gender effect. Finally, using direct information on credit constraints, male owned small firms appear disadvantaged. Furthermore we show a strong size gradient in the gender gap for the two measures for which we find significant gender differences.     

Experiences of the development and use of scenarios for evaluating Swedish national environmental objectives

The aim of the present paper is to present and evaluate a method for encouraging long-term thinking and considerations of a variety of scenarios in environmental policy processes. The Swedish environmental policy is based on 16 environmental objectives that national authorities are responsible for. They are evaluated annually and also in-depth every fourth year. Here we describe and explore a futures study project for introducing a more long-term thinking in the work with the environmental objectives, tested in the in-depth evaluation 2008. An experience was that it is difficult to design a collective scenario work in a case with a wide variety of objectives and with individuals with different backgrounds. However, this difficulty makes it even more important to incorporate futures studies in authorities work. Scenario work is often subcontracted, leading to a constant lack of futures studies competence and thinking at the authorities. Another experience is that despite the difficulties, experts at the authorities did start thinking more in terms of opportunities with futures studies. A general conclusion from the work was that there is an interest and need for futures studies at the authorities in charge of the environmental objectives. The possibly most important conclusion from this project was that the authorities need to build up their own competences in futures studies.