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This article analyses in what way Swiss academic institutions have had a favourable or unfavourable influence on changing research practices by following developments in four scientific areas – Bose-Einstein Condensates, Evolutionary Developmental Biology, Large-Scale Assessments in education research and Computerised Corpus Linguistics. Based on empirical evidence, we argue that overall a number of institutional conditions have had a positive influence on the decisions of scientists to dare a switch to a new scientific field. One finds, however, also differences in the working of these institutional conditions leading to quicker or slower developments of the four selected scientific areas.

The case of Tisens/Tesimo illustrates the critical role of governance in the course of a destination life cycle. In particular, it exemplifies how improving the effectiveness and efficiency of destination governance has the potential to relaunch stagnating or declining destinations. First, Tisens/Tesimo has managed to improve its effectiveness by developing a common strategy in a participatory manner. Second, improving efficiency in networking through an increase in trust also seems to have supported the process of recovery. However, the challenge is to establish cost-efficient collaboration while maintaining the dynamic and adaptive capacity associated with low levels of centralization. In achieving this balance, the destination raises issues about collaborative efficiency.

I survey applications of Markov switching models to the asset pricing and portfolio choice literatures. In particular, I discuss the potential that Markov switching models have to fit financial time series and at the same time provide powerful tools to test hypotheses formulated in the light of financial theories, and to generate positive economic value, as measured by risk-adjusted performances, in dynamic asset allocation applications. The chapter also reviews the role of Markov switching dynamics in modern asset pricing models in which the no-arbitrage principle is used to characterize the properties of the fundamental pricing measure in the presence of regimes.

This survey focuses on two families of nonlinear vector time series models, the family of vector threshold regression (VTR) models and that of vector smooth transition regression (VSTR) models. These two model classes contain incomplete models in the sense that strongly exogeneous variables are allowed in the equations. The emphasis is on stationary models, but the considerations also include nonstationary VTR and VSTR models with cointegrated variables. Model specification, estimation and evaluation is considered, and the use of the models illustrated by macroeconomic examples from the literature.

This chapter estimates a regime switching Taylor Rule for the European Central Bank (ECB) in order to investigate some potential nonlinearities in the forward-looking policy reaction function within a real-time framework. In order to compare observed and predicted policy behavior, the chapter estimates Actual and Perceived regime switching Taylor Rules for the ECB. The former is based on the refi rate set by the Governing Council while the latter relies on the professional point forecasts of the refi rate performed by a large investment bank before the upcoming policy rate decision. The empirical evidence shows that the Central Bank’s main policy rate has switched between two regimes: in the first one the Taylor Principle is satisfied and the ECB stabilizes the economic outlook, while in the second regime the Central Bank cuts rates more aggressively and puts a higher emphasis on stabilizing real output growth expectations. Second, the results point out that the professional forecasters have broadly well predicted the actual policy regimes. The estimation results are also robust to using consensus forecasts of inflation and real output growth. The empirical evidence from the augmented Taylor Rules shows that the Central Bank has most likely not responded to the growth rates of M3 and the nominal effective exchange rate and the estimated regimes are robust to including these additional variables in the regressions. Finally, after the bankruptcy of Lehman Brothers the policy rate has switched to a crisis regime as the ECB has focused on preventing a further decline in economic activity and on securing the stability of the financial system.

The present study develops a multi-theoretic framework of the mechanisms of value creation in interorganizational relationships and of the key factors influencing those mechanisms. The integrative use of several theories in building the model is justified by numerous studies suggesting that a multi-theoretic approach is required to understand the complexity of interorganizational relationships (Gulati, 1998; Osborn & Hagedoorn, 1997; Park et al., 2002). We believe that the relationships between start-up companies and their corporate investors, with each party holding a diversity of strategic and financial objectives, are not less complex than other potential interorganizational relationships. They may therefore also require ideas from several theories to be properly understood. In this study, we build the models applying primarily the resource-based and the knowledge-based views, as well as social capital theory. Ideas from other theoretical approaches are used to complement these theories.

Measuring risk aversion is sensitive to assumptions about the wealth in subjects’ utility functions. Data from the same subjects in low- and high-stake lottery decisions allow estimating the wealth in a pre-specified one-parameter utility function simultaneously with risk aversion. This paper first shows how wealth estimates can be identified assuming constant relative risk aversion (CRRA). Using the data from a recent experiment by Holt and Laury (2002a), it is shown that most subjects’ behavior is consistent with CRRA at some wealth level. However, for realistic wealth levels most subjects’ behavior implies a decreasing relative risk aversion. An alternative explanation is that subjects do not fully integrate their wealth with income from the experiment. Within-subject data do not allow discriminating between the two hypotheses. Using between-subject data, maximum-likelihood estimates of a hybrid utility function indicate that aggregate behavior can be described by expected utility from income rather than expected utility from final wealth and partial relative risk aversion is increasing in the scale of payoffs.