Künstliche neuronale Netze sind ein in der Theorie oft beschriebenes und in der Praxis der Wirtschaftswissenschaften, Informatik sowie Natur- und Ingenieurwissenschaften häufig eingesetztes Instrument zur Durchführung von Datenanalysen. Darstellungen neuronaler Netze entstammen jedoch...

This paper reports on empirical investigations of the determinants of leverage and agency problems. Use is made of private data obtained through questionnaires, and a regression model is estimated in which leverage and four agency problems are explained, i.e. direct wealth transfer, asset...

The GMM estimator that is usually employed in the panel data literature, has an unbounded influence function. This means that the estimator is easily influenced by outliers in the data. This paper develops a variant of the GMM estimator that is less sensitive to anomalous observations....

In this paper we consider empirical econometric models for nine brands of fast-moving nondurable consumer product using weekly observed scanning data on market share and distribution conditional on advertising, price, and promotion activities. Since the data show nonstationary characteristics,...

In this paper we consider empirical econometric models for nine brands of a fast-moving nondurable consumer product using weekly observed scanning data on market share and distribution conditional on advertising, price, promotion activities. Since the data show nonstationary characteristics, we...