During takeover battles, a tender offer provides a call option right to the target’s shareholders: it guarantees the offered price but maintains the chance of a higher offer. We present an options-based approach to estimate the probability and expected value of higher competing takeover bids using target stock price data. Analysing Canadian takeover battles in the period 1997 to 2007 we find that during the 5 trading days prior to the occurrence of an increased takeover bid, the estimated probability of a higher bid exceeds 80% on average and the expected value of a potential competing bid almost matches the realized value.

In their innovative and frequently cited study on the impact watching television (TV) has on income aspirations and happiness, Luigino Bruni and Luca Stanca 2006, henceforth B&S) offer an alternative explanation of Easterlin's income-happiness paradox: “television viewing in contemporary society, by raising material aspirations, contributes to offset the effect of higher income on individual happiness” (B&S, p. 225). More generally, the paper contributes to the literature of economic psychology, addressing the determinants and formation of preferences. While the theoretical analysis of B&S and the hypothesis on the effect of TV on material aspirations are well-grounded, the empirical evidence they present to corroborate the TV hypothesis is rather weak. After correcting a technical inaccuracy of B&S' empirical analysis one obtains results which no longer confirm a significant, positive and robust impact of TV consumption on material aspirations. As discussed in the third section, the revised empirical result does not disprove B&S' main hypothesis on the role of TV in shaping individual preferences. However, it suggests applying a more direct approach of measuring the effect of TV on aspiration than that performed in B&S's empirical analysis.

The paper presents estimates for the impact of related variety, unrelated variety and the functions a region performs in the production process on regional employment growth in Germany. We argue that regions benefit from the existence of related activities that facilitate economic development. Thereby the sole reliance of the related and unrelated variety concept on standard industrial classifications (SIC) remains debatable. We offer estimations for establishing that conceptual progress can be made when the focus of analysis goes beyond solely considering industries. We develop an industry-function based approach of related and unrelated variety and test our hypothesis by the help of spatial panel approach. Our findings suggest that related variety as same as unrelated variety facilitate regional employment growth in Germany. However, the drivers behind these effects do differ. While the positive effect of related variety is driven by high degrees of relatedness in the regional “R&D” and “White-Collar”-functions, the effects of unrelated variety are spurred by “Blue Collar”-functions in this period.

The recent crisis has shown yet again how the world economies are globally interlinked, via a complex net of transmission channels. When it comes, however, to build econometric frameworks aimed at analysing such linkages, modellers are faced with what is called the "curse of dimensionality": there far too many parameters to be estimated with respect to the available observations. The GVAR, a VAR based model of the global economy, offers a solution to this problem. The basic model is composed of a large number of country specific models, comprising domestic, foreign and purely global variables. The foreign variables, however, are treated as weakly exogenous. This assumption, which is typically held when empirically tested for virtually all economies - with the notable exception of the US which is treated differently - allows to estimate first the individual country models separately. Only in a second stage country-specific models are simultaneously solved, thus allowing global interactions.This volume presents - for a first time in a compact and rather easy to read format - principles and structure of the basic GVAR model and a number of its many applications and extensions developed in the last few years by a growing literature. Its main objective is to show how powerful the model can be as a tool for forecasting and scenario analysis. The clear modelling structure of the GVAR appeals to policy makers and practitioners as shown by its growing use among major institutions, as well as by econometricians, as shown by the main extensions and applications.

We model situations in which a principal offers contracts to a group of agents to participate in a project. Agents' benefits from participation depend on the identity of other participating agents. We assume heterogeneous externalities and characterize the optimal contracting scheme. We show that the optimal contracts' payoff relies on a ranking, which arise from a tournament among the agents. The optimal ranking cannot be achieved by a simple measure of popularity. Using the structure of the optimal contracts, we derive results on the principal's revenue extraction and the role of the level of externalities' asymmetry.

We study the impact of firm and industry characteristics on small firms’ capital structure, employing a proprietary database containing financial statements of Dutch small and medium-sized enterprises (SMEs) from 2003 to 2005. The firm characteristics suggest that the capital structure decision is consistent with the pecking-order theory: Dutch SMEs use profits to reduce their debt level, and growing firms increase their debt position since they need more funds. We further document that profits reduce in particular short-term debt, whereas growth increases long-term debt. We also find that inter- and intra-industry effects are important in explaining small firms’ capital structure. Industries exhibit different average debt levels, which is in line with the trade-off theory. Furthermore, there is substantial intra-industry heterogeneity, showing that the degree of industry competition, the degree of agency conflicts, and the heterogeneity in employed technology are also important drivers of capital structure.

We examine whether scientists employed in foreign countries and foreign-educated native researchers are more “entrepreneurial” than their “domestic” counterparts. We conjecture that foreign-born and foreign-educated scientists possess broader scientific skills and social capital, which increases their likelihood that they will start their own companies. To test this hypothesis we analyze comprehensive data from researchers at the Max Planck Society in Germany. Our findings provide strong support for the conjecture that academic entrepreneurship can be stimulated by facilitating the mobility of scientists across countries.

Which are the main frictions and the driving forces of business cycle dynamics in an open economy? To answer this question we extend the standard new Keynesian model in three dimensions: we incorporate financing frictions for capital, employment frictions for labor and extend the model into a small open economy setting. We estimate the model on Swedish data. Our main results are that (i) a financial shock is pivotal for explaining fluctuations in investment and GDP. (ii) The marginal efficiency of investment shock has negligible importance. (iii) The labor supply shock is unimportant in explaining GDP and no high frequency wage markup shock is needed.

Der Beitrag analysiert anhand veröffentlichter Dokumente die Clusterpolitiken in den Ländern Bayern und Thüringen. Ziel dieser Politiken ist die Stärkung der Innovationskraft. Eine explizite allokationspolitische Begründung

für Clusterpolitik mit dem Vorliegen von Externalitäten, Informationsasymmetrien oder Koordinierungsmängeln ist in den Dokumenten nicht sichtbar. Es bleibt daher offen, ob die praktizierte Clusterpolitik tatsächlich ursachenadäquat

ist. Beide Länder fokussieren auf die Unterstützung landesweiter Cluster und Netzwerke. Dadurch könnten aber die Vorteile räumlicher Nähe zu wenig Beachtung finden. Nicht ohne Probleme ist auch die ex ante vorgenommene Auswahl von Branchen und Technologiefeldern in den Clusterpolitiken beider Länder, selbst wenn aus den Eigendarstellungen der fördernden Ressorts Offenheit für Neues ablesbar ist. Denn dem Staat mangelt es generell an Informationen über die Zukunftsfähigkeit von Branchen und Technologien. Der Verzicht auf einen

Branchenfokus zugunsten wettbewerblicher Förderverfahren nach dem Vorbild von Bundesprogrammen kann dieses Problem mildern. Für Thüringen, das seine Clusterpolitik vor allem mit der Kleinteiligkeit der Unternehmensstruktur

motiviert, wird es jenseits clusterpolitischer Bemühungen darauf ankommen, weiterhin auch direkt die Beseitigung dieser strukturellen Nachteile anzuvisieren, insbesondere durch Rahmenbedingungen, die dem Wachstum der vorhandenen Unternehmen förderlich sind.