Thema Wettbewerb und Regulierung

1055 Ergebnisse, ab 1
Berlin IO Day

The 13th Berlin IO Day

This event has been postponed from March 27 to September 18. The Berlin IO Day is a one-day workshop sponsored by the Berlin Centre for Consumer Policies (BCCP) and supported by the Berlin's leading academic institutions, including DIW Berlin, ESMT Berlin, Humboldt-Universität zu Berlin, and Technische Universität Berlin. The aim is to create an international forum for high quality...

18.09.2020| Rosa Ferrer, Holger Herz, Thomas Otter, Bertel Schjerning, Yossi Spiegel
DIW Applied Micro Seminar

Local News, UGC and Professionals: Evidence from Citizen Journalism

Abstract:  User generated content is increasingly substituting content created by professionals. Local news that is generated by citizen journalists could be a promising way of supporting the struggling newspaper industry by reducing costs for professional journalists. We study a network of 122 local Austrian newspapers operating a hybrid model of citizen and professional journalism. We first...

12.06.2020| Jörg Claussen, Ludwig-Maximilians-Universität München
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

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

Common Ownership, Markups and Productivity: Evidence from European Firms

This is an online seminar using Webex. You will receive the login data with the invitation to the talk. Abstract:  This paper analyzes the relationship between common ownership – when two firms are partially held by the same investor – and markups. Combining firm-level financial data from Europe with ownership data of publicly listed firms, we structurally estimate production...

07.05.2020| Nuria Boot
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

Abhängigkeit von Banken und EU-Staaten ist nach wie vor sehr hoch

Banken haben noch immer einen Anreiz, vor allem Staatsanleihen ihres Heimatlandes zu kaufen –Sogenannter Home Bias hat sich daher in vielen EU-Ländern kaum zurückgebildet – Sollten Banken verpflichtet werden, Staatstitel mit Eigenkapital zu hinterlegen, würde sich Problem der geringen Streuung in den Anleiheportfolios sogar noch verschärfen – Neue Form von Staatsanleihen ...

Brown Bag Seminar Cluster Industrial Economics

Market Concentration in Europe: Evidence based on Antitrust Markets (cancelled)

Abstract:  An increasing body of empirical evidence has documented trends to risen concentration, profits, markups, and market power in many industries across the world since the 1980s. Several factors – such as globalisation, digitisation, the increased role of intangible assets and sunk costs, as well as M&A activity and the (under)enforcement of merger control– have been...

13.03.2020| Tomaso Duso
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
1055 Ergebnisse, ab 1