models than the clustering methodology, which is more commonly used in the literature. The business model categorisation can …

We estimate the unconditional distribution of the marginal propensity to consume (MPC) using clustering regression …

explain the phenomenon of geographical clustering of economic activity. Nonetheless, as many studies in these fields point out … chapter 3 the concept of LKS is defined and its importance for the theory of geographical clustering as well as for New Growth … clustering.In chapter 8 the analysis turns to the welfare implications of different types of market mediated knowledge exchanges …

This thesis is comprised of three chapters. The first investigates the implications of industrial clustering for labor … exploit establishment-level variation in agglomeration to explore the impact of clustering in the software publishing industry … on labor market outcomes. The results show that clustering makes it easier for workers to job hop among establishments …

small number of replications per variable, and HDLLSS data refer to HDLSS data observed over time. Clustering technique …, mass spectrometry data, pattern recognition. Most current clustering algorithms for HDLSS and HDLLSS data are adaptations … addition, available algorithms often exhibit poor clustering accuracy and stability for non-normal data. Simulations show that …

This paper investigates innovative activities, clustering and regional interaction of a group of Information and …

Price clustering is a well-documented regularity of foreign exchange transactions. In this paper, I present new … empirical evidence of price clustering for central bank interventions. A feature of the price clustering in Swiss National Bank … (SNB) transactions is market dependency. Evidence of clustering in the broker market is considerably smaller than in the …