Patent Hold‐Up and Antitrust: How A Well‐Intentioned Rule Could Retard Innovation

Licensing technology essential to a standard can present a hold‐up problem. After designing new products incorporating a standard, a manufacturer could be confronted by an innovator asserting patent rights to essential technology. This hold‐up problem can be solved with a damages remedy provided by antitrust or some other body of law, but a damages remedy can reduce the innovator's licensing revenue and thereby retard innovation. The availability of an ex post damages remedy also alters the licensing terms in ex ante bargaining with the result that fewer socially beneficial R&D projects are undertaken.     

Measuring input-specific productivity change based on the principle of least action

In for-profit organizations, efficiency and productivity measurement with reference to the potential for input-specific reductions is particularly important and has been the focus of interest in the recent literature. Different approaches can be formulated to measure and decompose input-specific productivity change over time. In this paper, we highlight some problems within existing approaches and propose a new methodology based on the Principle of Least Action. In particular, this model is operationalized in the form of a non-radial Luenberger productivity indicator based on the determination of the least distance to the strongly efficient frontier of the considered production possibility sets, which are estimated by non-parametric techniques based upon Data Envelopment Analysis. In our approach, overall productivity change is the sum of input-specific productivity changes. Overall productivity change and input-specific changes are broken up into indicators of efficiency change and technical change. This decomposition enables the researcher to quantify the contributions of each production factor to productivity change and its components. In this way, the drivers of productivity development are revealed. For illustration purposes the new approach is applied to a recent dataset of Polish dairy processing firms.     

The perceiver’s social role and a risk’s causal structure as determinants of environmental risk evaluation

We present a dual-process risk perception model that integrates cognitive and emotional as well as consequentialist and deontological components by distinguishing between two modes of evaluative processing: (a) a consequentialist evaluation that focuses on potential consequences and (b) a deontological evaluation that focuses on moral values. Each of these two modes is assumed to trigger specific cognitive evaluations, specific emotions, and specific behavioral tendencies concerning a perceived risk. We conducted an experiment (N = 270) that tested whether the relative dominance of the two evaluative modes would depend on the causal structure of the environmental risk being evaluated and on the social role of the evaluator. Three types of causal structure were varied by providing scenario information: (a) anthropogenic risks that endanger only nature, (b) naturally caused risks with potential harmful consequences for humans, and (c) anthropogenic risks that may harm humans. Participants evaluated each scenario from the perspective of one of three social roles: mayor, expecting parent, and environmental activist. For each scenario, participants specified their focus and evaluated the event’s morality and perceived risk, the intensity of specific emotions, and their preferences for prospective behaviors. Results showed that the consequentialist evaluation was generally stronger than the deontological evaluation and was less affected by the experimental manipulations. The deontological evaluation was substantially affected by the risk’s causal structure. It was stronger for anthropogenic than for natural causation; risks caused by humans were associated with greater perceived moral blameworthiness, more intense morality-based emotions (e.g. outrage), and a stronger tendency to perform agent-related behaviors (e.g. aggression) than naturally occurring risks. The effect of the social role was less pronounced than that of the causal structure. Furthermore, the effect of an evaluative focus on behavior was fully mediated by emotions for deontological evaluations and partially mediated for consequentialist evaluations. The implications for environmental risk perception and communication are discussed.     

Correcting for the Missing Rich: An Application to Wealth Survey Data

It is a well‐known criticism that if the distribution of wealth is highly concentrated, survey data are hardly reliable when it comes to analyzing the richest parts of society. This paper addresses this criticism by providing a general rationale of the underlying methodological problem as well as by proposing a specific methodological approach tailored to correcting the arising bias. We illustrate the latter approach by using Austrian data from the Household Finance and Consumption Survey. Specifically, we identify suitable parameter combinations by using a series of maximum‐likelihood estimates and appropriate goodness‐of‐fit tests to avoid arbitrariness with respect to the fitting of the Pareto distribution. Our results suggest that the alleged non‐observation bias is considerable, accounting for about one quarter of total net wealth in the case of Austria. The method developed in this paper can easily be applied to other countries where survey data on wealth are available.     

Single Market effects on productivity in the German insurance industry

The Single Market project of the European Commission was supposed to foster productivity growth in the financial service industry. We assess its consequences on productivity development in the German insurance industry, one of the largest insurance markets within the European Union, by applying Data Envelopment Analysis to a panel of German insurance companies. We estimate standard and bootstrapped efficiency scores for the years 1991 through 2006 and apply a test on scale efficiency based on bootstrapped statistics. Furthermore, we compute a Malmquist index and test for different types of productivity convergence across firms.     

“Why did I do this?”: Understanding leadership behavior through a dynamic five‐factor model of leadership

Leadership theories referring to complex adaptive system theory (CAS) describe leadership as a dynamic process of interdependent, cooperating agents. However, research on leadership behavior focuses mainly on the leader as an influencing, active agent. This article offers a different perspective by focusing on factors that influence leadership behavior. A dynamic five‐factor model of leadership is introduced, which identifies (1) the leader's individual competence, (2) the group, (3) the organization, (4) the context, and (5) the immediate situation as all influencing factors on leadership behavior. To address the problem of the procedural nature of leadership behavior, the dynamic five‐factor model is combined with a scenario‐based approach. The scenario approach focuses on situational developments in a given context, whereby a previous situation influences a leader's behavior in the subsequent situation. By integrating the dynamic five‐factor model into a scenario approach, one can understand a leader's behavior in its procedural nature. The practical usability of the dynamic five‐factor model and the scenario approach was assessed in a leadership development program with 81 military officers. Structured feedback from participants indicated that the model and the approach were perceived as helpful and relevant for understanding leadership behavior.     

The timing and pattern of real wage divergence in pre‐industrial Europe: evidence from Germany,c. 1500–1850

This study uses price information relating to 12 towns and wage information from 18 towns to develop a real wage index for unskilled urban labourers in Germany during the three‐and‐a‐half centuries preceding the onset of rapid industrialization. Combining the new series with information from other parts of Europe establishes two stages of real wage divergence during the seventeenth to nineteenth century. The first occurred in the middle of the seventeenth century when real wages in centres of trade and finance located on the rim of the North Sea rose far above the level prevailing in their hinterland. The second stage unfolded from the second quarter of the eighteenth century when the real wage in south England, northern and central Italy, and Germany began to diverge; Germany followed a middle path between the other two countries. The second commercial revolution, which improved business techniques and promoted Smithian growth, goes a long way towards accounting for this development.     

Enumeration of Nash equilibria for two-player games

This paper describes algorithms for finding all Nash equilibria of a two-player game in strategic form. We present two algorithms that extend earlier work. Our presentation is self-contained, and explains the two methods in a unified framework using faces of best-response polyhedra. The first method lrsnash is based on the known vertex enumeration program lrs, for “lexicographic reverse search”. It enumerates the vertices of only one best-response polytope, and the vertices of the complementary faces that correspond to these vertices (if they are not empty) in the other polytope. The second method is a modification of the known EEE algorithm, for “enumeration of extreme equilibria”. We also describe a second, as yet not implemented, variant that is space efficient. We discuss details of implementations of lrsnash and EEE, and report on computational experiments that compare the two algorithms, which show that both have their strengths and weaknesses.