This paper analyses the link between sustainability-related innovation and sustainability performance and the role that family firms play in this. This theme is particular relevantfrom a European point of view given the large number of firms that are family-owned. Governments often support...

Innovation activities in high technology industries provide considerable challenges fortechnology and innovation management. In particular, since these industries have a long historyof radical innovations taking place through distinct industry cycles of higher and lower demand,firms frequently...

We give an explicit PDE characterization for the solution of the problemof maximizing the utility of both terminal wealth and intertemporal consumption under model uncertainty. The underlying market model consists of a risky asset, whose volatility and long-term trend are driven by an external...

This paper explores implications of nominal rigidity characterized by a non-constanthazard function for aggregate dynamics. I derive the NKPC under an arbitrary hazardfunction and parameterize it with the Weibull duration model. The resulting Phillips curveinvolves lagged inflation and lagged...

In semiparametric models it is a common approach to under-smooth the nonparametric functions inorder that estimators of the finite dimensional parameters can achieve root-n consistency. The requirementof under-smoothing may result as we show from inefficient estimation methods or technical...

This paper studies how dierent unionisation structures aect rm productivity, rmperformance, and consumer welfare in a monopolistic competition model with heterogeneousrms and free entry. While centralised bargaining induces tougher selection among hetero-geneous producers and thus increases...

In this paper we develop several regression algorithms for solvinggeneral stochastic optimal control problems via Monte Carlo. Thistype of algorithms is particularly useful for problems with a highdimensionalstate space and complex dependence structure of the underlyingMarkov process with...

Recent studies suggest that the correlation of stock returnsincreases with decreasing geographical distance. However, there is some debateon the appropriate methodology for measuring the effects of distanceon correlation. We modify a regression approach suggested in the literatureand complement...

A firm’s current leverage ratio is one of the core characteristicsof credit quality used in statistical default prediction models. Based on thecapital structure literature, which shows that leverage is mean-reverting to atarget leverage, we forecast future leverage ratios and include them in...

The problem of pricing Bermudan options using Monte Carlo anda nonparametric regression is considered. We derive optimal nonasymptoticbounds for a lower biased estimate based on the suboptimalstopping rule constructed using some estimates of continuationvalues. These estimates may be of...