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Considering markets with nonpivotal buyers, we analyze the anticompetitive effects of breakup fees used by an incumbent facing a more efficient entrant in the future. Buyers differ in their intrinsic switching costs. Breakup fees are profitably used to foreclose entry, regardless of the entrant's efficiency advantage or level of switching costs. Banning breakup fees is beneficial to consumers. The ban enhances the total welfare unless the entrant's efficiency is close to the incumbent's. Inefficient foreclosure arises not because of rent shifting from the entrant, but because the incumbent uses a long-term contract to manipulate consumers' expected surplus from not signing it.

Copyright ©2017 by the American Economic Association.

Using a unique dataset of more than 1 million loans made by 296 German banks, we evaluate the impact of many aspects of customer–bank relationships on loan default rates. Our research suggests a practical solution to reducing loan defaults for new customers: Have the customer open a simple transactions account – savings or checking account. Observe for some time and then decide whether to make a loan. Loans made under this model have lower default, as banks can use historical data about their borrowers to establish a baseline against which new client-related information can be evaluated. Banks assemble this historical information through relationships of different forms. We define relationships in many different ways to capture non-credit relationships, transaction accounts, as well as the depth and intensity of relationships, and find each of these can provide information that helps reduce default – even establishing a simple savings or checking account and observing the activity prior to loan granting can help reduce loan defaults. Our results show that banks with relationship-specific information act differently compared with banks that do not have this information both in screening and subsequent monitoring borrowers which helps reduce loan defaults.

With permission of Elsevier

The DSI has carried out stakeholder workshops with the automotive sector, mobility digital startups, automotive insurers, and vehicle inspectors and, on this basis, has developed the recommendations for safety, security and data policy in automotive IT. The car of the future will collect a wide range of data. Ownership and usage of those data must be clarified, and legal and technical characteristics have to be established in order to endure data protection, data security, vehicle safety, and a fair market.

This issue contains German text and English translation in one file.

In this paper we study how the coexistence of access regulations for legacy (copper) and fiber networks shapes the incentives to invest in network infrastructure. To this end, we develop a theoretical model explaining investment incentives by incumbent telecom operators and heterogeneous entrants and test its main predictions using panel data from 27 EU member states over the last decade. Our theoretical model extends the existing literature by, among other things, allowing for heterogeneous entrants in internet access markets, as we consider both other telecom and cable TV operators as entrants. In the empirical part, we use a novel data set including information on physical fiber network investments, legacy network access regulation and recently imposed fiber access regulations. Our main finding is that more stringent access regulations for both the legacy and the fiber networks harm investments by incumbent telecom operators, but, in line with our theoretical model, do not affect cable TV operators.

 

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