The way firms finance their investments can potentially explain the heterogeneity of firms in terms of their innovation. We use a novel firm-level survey of the European Investment Bank (EIBIS) which provides information about a wide range of financing sources that firms use to fund their...

This paper aims to contribute to the identification of the key parameters of cluster life cycles. We assume that clusters are embedded in larger technological fields, so that the search for these parameters focuses on the way by which clusters could disconnect their cycle from the cycle of...

This paper investigates the differences in innovation behaviour, i.e. differences in innovation sources and innovation effects, among manufacturing firms in three NMS: the Czech Republic, Hungary and Poland. It is based on a survey of firms operating in four manufacturing industries: food and...

In this article we investigate the determinants of the European “Most Cited Publications”. We use data from the European Innovation Scoreboard-EIS of the European Commission for the period 2010-2019. Data are analyzed with Panel Data with Fixed Effects, Panel Data with Random Effects, WLS,...

This paper investigates the differences in innovation behaviour, i.e. differences in innovation sources and innovation effects, among manufacturing firms in three NMS: the Czech Republic, Hungary and Poland. It is based on a survey of firms operating in four manufacturing industries: food and...

In the 21st century clusters can be observed in most developed economies. However, the scientific results regarding the effect of clusters on firm performance are highly contradictive. This inconsistency in the empirical results makes it difficult to infer general conclusions about the...

Discovering the preferences and the behaviour of consumers is a key challenge in marketing. Information about such topics can be gathered through surveys in which the respondents must assign a score to a number of items. In this article we suggest a strategy to analyze such data and achieve this...

Discriminant analysis is mostly used to predict the value of a discrete dependent variable of an observation on the basis of a set of predictors. The commonly used criterion of the predictive power is the fraction of incorrectly predicted cases in the sample. In this article we construct a model...

We study the informational content of factor structures in discrete triangular systems. Factor structures have been employed in a variety of settings in cross sectional and panel data models, and in this paper we formally quantify their identifying power in a bivariate system often employed in...

Three different discriminant techniques are applied and compared to analyze a complex data set of credit risks. A large sample is split into a training, a validation, and a test sample. The dependent variable is whether a loan is paid back without problems or not. Predictor variables are sex,...