99 Ergebnisse, ab 11
Externe referierte Aufsätze

The Impact of Competition Policy Enforcement on the Functioning of EU Energy Markets

We investigate the impact of competition policy enforcement on the functioning of European energy markets while accounting for sectoral regulation. For this purpose, we compile a novel dataset on the European Commission's (EC) and EU member states' competition policy decisions in energy markets and combine it with firm- and sector-level data. We find that EC merger policy has a positive and robust ...

In: The Energy Journal 40 (2019), 5, S. 97-120 | Tomaso Duso, Jo Seldeslachts, Florian Szücs

Bauwirtschaft wächst stärker als die deutsche Gesamtwirtschaft

Bauwirtschaft wird in diesem und im nächsten Jahr nominal um mehr als sechs Prozent, real um rund drei Prozent zulegen – Eckpfeiler des Aufwärtstrends bleibt der Wohnungsbau, 2019 hat vor allem der Neubau kräftig zugenommen – Politik sollte langfristige Investitionsanreize setzen und Genehmigungsverfahren straffen Die Bauwirtschaft ist und bleibt eine Stütze der Konjunktur ...

Diskussionspapiere 1849 / 2020

Testing the Superstar Firm Hypothesis

The superstar firms model provides a compelling explanation for two simultaneously occurring phenomena: the rise of concentration in industries and the fall of labor shares. Our empirical analysis confirms two of the underlying assumptions of the model: the market share increases and the labor share decreases with increasing firm-level total factor productivity, providing support for the superstar ...

2020| Alexander Schiersch, Caroline Stiel
Brown Bag Seminar Cluster Industrial Economics

Data Network Effects: The Example of Internet Search

Abstract:   The rise of dominant firms in data driven industries is often credited to their alleged data advantage. Empirical evidence lending support to this conjecture is lacking. In this paper, we show that data as an input into machine learning tasks displays features that favor the hypothesis that data is a source of market power. We study the search result quality for search keywords on...

06.12.2019| Maximilian Schäfer
Brown Bag Seminar Cluster Industrial Economics

Modeling Geographical Preferences to Study the Welfare Implication of Airbnb's Presence in the Short-Term Accomodation Market

Abstract:  We study competition between Airbnb and hotel accommodations in Paris in 2017 to assess the welfare implications of Airbnb’s presence on hotels and travelers. The existing literature on the subject exclusively uses across city variation in Airbnb diffusion. Consequently, it does not take into account that the location of an accommodation within a city might be an important...

09.04.2020| Maximilian Schäfer
Brown Bag Seminar Cluster Industrial Economics

Big Tech Acquisitions in the Google Play Store

This is an online seminar using Webex. You will receive the login data with the invitation to the talk. Abstract:  In the last ten years, Google, Apple, Facebook, Amazon, and Microsoft (GAFAM) acquired more than 400 companies, predominantly in the technological sector. Competition authorities did not scrutinize most of these transactions, as they did not reach the traditional thresholds,...

20.05.2020| Pauline Affeldt
Brown Bag Seminar Cluster Industrial Economics

Airbnb and Rents: Evidence from Berlin

This is an online seminar using Webex. You will receive the login data with the invitation to the talk.

05.06.2020| Kevin Tran
Brown Bag Seminar Cluster Industrial Economics

Partitioned Pricing and Consumer Welfare

Abstract:   In online commerce, obfuscation strategies by sellers are hypothesized to mislead consumers to their detriment and to the profit of sellers. One such obfuscation strategy is partitioned pricing in which the price is split into a base price and add-on fees. While empirical evidence suggests that partitioned pricing impacts consumer decisions through salience effects, its consumer...

06.12.2019| Kevin Tran
Brown Bag Seminar Cluster Industrial Economics

Determinants of Ownership Changes in the Market for Diabetes

Abstract:  This paper investigates the determinants of ownership changes of drug candidates in one of the most important current pharma markets —the market for diabetes. We in particular look at how do the competitive circumstances, progress in clinical development and radicalness of the drug candidates matter in these decisions. We use newly constructed, very granular dataset tracking...

20.12.2019| Jan Malek
Brown Bag Seminar Cluster Industrial Economics

Battling Antibiotic Resistance: Can Machine Learning Improve Prescribing?

Abstract:  Antibiotic misuse due to prescribing under diagnostic uncertainty is a leading driver of antibiotic resistance. We investigate the magnitude and mechanisms by which machine learning predictions can enable policies that reduce antibiotic misuse. Building on predictions from administrative data on urinary tract infections in Denmark, we evaluate counterfactual policies that replace...

14.02.2020| Hannes Ullrich
99 Ergebnisse, ab 11