Generalized structured component analysis (GSCA) is a technically well-established approach to component-based structural equation modeling that allows for specifying and examining the relationships between observed variables and components thereof. GSCA provides overall fit indexes for model...

Partial least squares structural equation modeling (PLS‐SEM) is an essential element of marketing researchers' methodological toolbox. During the last decade, the PLS‐SEM field has undergone massive developments, raising the question of whether the method's users are following the most...

This paper quantifies the relationship between private-network file sharing activity and music sales in the BitTorrent era. Using a panel dataset of 2,251 albums' U.S. sales and file sharing downloads on a private network during 2008, I estimate the effect of file sharing on album sales....

I quantify the effects of private-network music sharing on aggregate album sales in the BitTorrent era using a panel of US sales and private-network downloads for 2,109 albums during 2008. Exogenous shocks to the network's sharing constraints address the simultaneity problem. In theory,...

Using the adoption of Zombie Property Law (ZL) across several US states, we show that increased lender accountability in the foreclosure process affects mortgage lending decisions and standards. Difference-in-differences estimations using a state border design show that ZL incentivizes lenders...

Daniel Osberghaus, ZEW – Leibniz-Zentrum für Europäische Wirtschaftsforschung, Mannheim, zeigt die Schwächen und die fehlende Nachhaltigkeit des derzeitigen Versicherungsmarktes für Elementarschäden auf. Nötig sei eine Neuordnung des Versicherungsmarktes für Hochwasserschäden. Zu...

Thema dieses Papers sind die Bestimmungsfaktoren der Mediaselektion und ihr Bezug zu theoretischen Konzepten. Die Bestimmungsfaktoren der Mediaselektion lassen sich in qualitative und quantitative Kriterien untergliedern. Als wichtigstes Kriterium konnte in zahlreichen Umfragen die...

There are broadly two dimensions on which researchers can evaluate their statistical models: explanatory power and predictive power. Using data on job satisfaction in ageing workforces, we empirically highlight the importance of distinguishing between these two dimensions clearly by showing that...