The success of new start-up firms often depends on timing. It is valuable for the potential entrepreneur to wait for the right moment before starting a new firm. In this paper we provide a theoretical model to determine the optimal time for starting a new firm. We integrate insights from the...

Statistical cluster techniques are applied in the development of two new taxonomies of manufacturing industries. The first focuses on the distinction between exogenous, location dependent comparative cost advantages, such as the relative abundance of capital or labour, and endogenously created...

Die Bedeutung von Emotionen und Affekten bei ökonomischen Entscheidungen wird seit mehreren Jahren in der ökonomischen Literatur diskutiert (z. B. Rabin, 1998). Eine Erklärung der empirischen Evidenz in diesem Bereich, die über eine bloß phänomenologische Ebene hinausgeht, verlangt eine...

This paper proposes an iterative three-step spatial clustering procedure to define Functional Economic Market Areas (FEMAs) with an evolutionary computational approach using flow data on economic linkages. FEMAs are needed as basic observation units in disaggregated economic data analysis, since...

To provide a more exible workhorse model of temporary price reductions or "sales", this paper presents a substantially generalized "clearinghouse" sales framework. Our framework permits multiple dimensions of firm heterogeneity, and views firms as competing directly in utility rather than...

In 2013, Stiftung Warentest tested hazelnut chocolate for their leading magazine, called Test. Stiftung Warentest is one of the most important consumer organizations in Germany. Ritter Sport is a high-quality producer of chocolate in Germany. Their hazelnut chocolate did not pass the test. It...

We experimentally examine the effects of drip pricing on seller strategies and buyer behavior as well as the implications for regulation. Sellers set two prices: a base price and a drip price. At first, buyers only observe the base prices and make a tentative purchase decision. Revealing the...

Statistical cluster techniques are applied in the development of two new taxonomies of manufacturing industries. The first focuses on the distinction between exogenous, location dependent comparative cost advantages, such as the relative abundance of capital or labour, and endogenously created...

This paper proposes an iterative three-step spatial clustering procedure to define Functional Economic Market Areas (FEMAs) with an evolutionary computational approach using flow data on economic linkages. FEMAs are needed as basic observation units in disaggregated economic data analysis, since...

We develop a new method to sample from posterior distributions in hierarchical models without using Markov chain Monte Carlo. This method, which is a variant of importance sampling ideas, is generally applicable to high-dimensional models involving large data sets. Samples are independent, so...