Charitable giving among females and males: an empirical test of the competitive altruism hypothesis

We conduct a real-effort task experiment where subjects’ performance translates into a donation to a charity. In a within-subjects design we vary the visibility of the donation (no/private/public feedback). Confirming previous studies, we find that subjects’ performance increases, that is, they donate more to charity, when their relative performance is made public. In line with the competitive altruism hypothesis, a biology-based explanation for status-seeking behavior, especially male subjects increase performance in the public setting.     

Revisiting the arcs of integration: Cross-validations and extensions

This paper revisits Frohlich and Westbrook's arcs of integration concept [Arcs of integration: an international study of supply chain strategies. Journal of Operations Management 2001, 19 (2) pp. 185–200]. Using survey responses from 403 supply chain professionals, we compare the arcs of integration group memberships generated with our sample to the original study, rationalize the classification scheme, and assess the impact of supply chain integration strategies on quality, delivery, flexibility and cost performance. In doing so we cross-validate Frohlich and Westbrook's framework with a more recent and broader sample of data utilizing multi-dimensional performance measures collected from supply chain managers. We ground these relationships in the relational and resource-based views of the firm. We also extend Frohlich and Westbrook's study by investigating the moderating role of internal integration on the relationships between arcs of integration and performance. In accordance with information processing theory, the results indicate that internal integration strengthens the positive impacts of external integration on both delivery and flexibility performance. However, the theory is not supported for either quality or cost performance. Overall, our study confirms and extends the work of Frohlich and Westbrook, augments theories used to describe supply chain integration efforts, and provides practical implications for managers.     

Transparency, entry, and productivity

This paper studies the relationship between transparency on the consumer side and productivity of firms. We show that more transparent markets are characterized by higher average productivity as firms with low productivity abstain from entering these markets.     

FORECASTING CURRENCY CRISES: WHICH METHODS SIGNALED THE SOUTH AFRICAN CRISIS OF JUNE 2006?

In this paper we test the ability of three of the most popular methods to forecast South African currency crises with a special emphasis on their out‐of‐sample performance. We choose the latest crisis of June 2006 to conduct an out‐of‐sample experiment. The results show that the signals approach was not able to forecast the out‐of‐sample crisis correctly; the probit approach was able to predict the crisis but only with models, that were based on raw data. The Markov‐regime‐switching approach predicts the out‐of‐sample crisis well. However, the results are not straightforward. In‐sample, the probit models performed remarkably well and were also able to detect, at least to some extent, out‐of‐sample currency crises before their occurrence. The recommendation is to not restrict the forecasting to only one approach.     

Competition, herd behavior, and credit cycles: evidence from major Swiss Banks

I use time-series analysis to investigate the dynamic interdependence of the credit supplies of the three major Swiss banks from 1987 to 1996. The statistical results document that all three banks reacted to their competitors’ changes in lending. The estimated individual credit supply functions are then used in counterfactual experiments to study the total lending of these three banks (which is roughly half the bank lending in Switzerland) under different assumptions regarding leader/follower behavior. These simulations highlight the role of competitive behavior for the persistence of aggregate credit cycles.     

Migration, unemployment and discrimination

This paper uses a dynamic efficiency-wage model to analyze the consequences of immigration for a small country when there is discrimination against immigrants in a dual labor market with unemployment. Discrimination is of the type ‘equal pay for equal work, but unequal work’ which is characteristic of economies with ‘guest-worker’ systems. The model exhibits three regimes for rising immigration levels. Immigration is most beneficial for natives in the intermediate regime. An analysis of regime switches shows that changes attributable to ‘globalization’ and technical progress are consistent with growing opposition to immigration.     

Germany’s changing airport infrastructure: the prospects for ‘newcomer’ airports attempting market entry

Despite fluctuations for economic or political reasons, the number of passengers and volume of cargo carried by air is growing quickly, leading to a shortage of airport capacity in some European regions with few slots available at some hubs. This problem has accelerated the trend towards an increase in airport capacity for larger aircraft everywhere, a process which started in the UK and is now continuing throughout Europe, especially in Germany. Apart from development at the hubs, however, many small airports have also been enlarged, former military airbases have been converted to civilian use, and new runways are to be built in areas away from centres of population. These changes have occurred within a short period of time. In Germany, the number of available airports with runways over 1800 m will have doubled in a period of 10–15 years.     

Estimating demand systems when outcomes are correlated counts

We describe and employ a Bayesian posterior simulator for fitting a high-dimensional system of ordinal or count outcome equations. The model is then applied to describe the multiple site recreation demands of individual agents, and we argue that our approach provides advantages relative to existing methods commonly applied in this area. In particular, our model flexibly adjusts to match observed frequencies in trip outcomes, permits a flexible correlation pattern among the sites visited by individuals, and the posterior simulator for fitting this model is relatively easy to implement in practice. We also describe how the posterior simulations produced from the model can be used to conduct a variety of counterfactual experiments, including predicting behavioral changes and describing welfare implications resulting from shifts in exogenous demographic and site characteristics. We illustrate our method using data from the Iowa Lakes Project by modeling the visitation patterns of individuals to a set of twenty-nine large Iowa lakes. Consistent with previous findings in the literature, we see strong evidence that own and cross-price effects on trip demand are negative and positive, respectively, that higher income increases the likelihood of visiting most sites, and that a commonly used indicator of water quality, Secchi transparency, is positively correlated with the number of trips taken. In addition, the correlation structure among the errors reveals a complex pattern in which unobserved factors affecting trip demand are generally (though not strictly) positively correlated across sites. The flexibility and richness with which we are able to characterize the demand system provides a solid platform for counterfactual analysis, where we find significant behavioral and welfare effects from changes in site availability, water quality, and travel costs.