Browsing Discussion papers (FOR) by Author "Juranek, Steffen"
Now showing items 1-11 of 11
-
Classroom experiments on technology licensing: Royalty stacking, cross-licensing and patent pools
Haugen, Atle; Juranek, Steffen (Discussion paper;3/21, Working paper, 2021-02-11)We present two classroom experiments on technology licensing. The first classroom experiment introduces the concept of royalty stacking. The students learn that non-cooperative pricing of royalties for complementary ... -
Creating a National Champion: International Competition and Unbundling in Rail Transportation
Juranek, Steffen (Discussion paper;18/15, Working paper, 2015-04-10)This article investigates the incentives to unbundle operations and infrastructure in the railway industry in a two-country model with international network effects from the viewpoint of national governments. The analysis ... -
The Effect of Social Distancing Measures on Intensive Care Occupancy: Evidence on COVID-19 in Scandinavia
Juranek, Steffen; Zoutman, Floris T. (Discussion paper;2/20, Working paper, 2020-04-29)Understanding the effectiveness of social distancing on the spread of COVID-19 is crucial to justify economically costly social distancing measures. We present a case study focusing on the three Scandinavian countries. ... -
Investing in legal advice – What determines the costs of enforcing intellectual property rights?
Juranek, Steffen (Discussion paper;20/15, Working paper, 2015-08-28)This paper studies the determinants of investment in legal advice by plaintiffs in patent litigation. A hand-collected sample of US patent litigation cases is used to identify the empirical factors that determine the ... -
Labor Market Effects of COVID-19 in Sweden and its Neighbors: Evidence from Novel Administrative Data
Juranek, Steffen; Paetzold, Jörg; Winner, Hannes; Zoutman, Floris T. (Discussion paper;8/20, Working paper, 2020-07-24)This paper studies the labor market effects of non-pharmaceutical interventions (NPIs) to combat the COVID-19 pandemic. We focus on the Nordic countries which showed one of the highest variations in NPIs despite having ... -
On the economic geography of dual distribution - The case of McDonald’s in Germany
Freiwald, Nisa E.; Juranek, Steffen; Walz, Uwe (Discussion paper;14/19, Working paper, 2019-10-29)We analyze the allocation of ownership in a franchise system by focusing on location-specific characteristics of the outlets. This study uses a comprehensive data set on McDonald’s restaurants in Germany to investigate the ... -
Patent trolls, litigation and the market for innovation
Haus, Axel; Juranek, Steffen (Discussion papers;24/14, Working paper, 2014-06)We examine the role of non-practicing entities (NPEs), often called patent trolls, in patent litigation. We present a theoretical model that predicts that cases with NPE patentees resolve faster. We test this prediction ... -
Royalty Taxation under Profit Shifting and Competition for FDI
Juranek, Steffen; Schindler, Dirk; Schneider, Andrea (Discussion paper;11/20, Working paper, 2020-09-09)Multinational corporations increasingly use royalty payments for intellectual property rights to shift profits globally. This threatens not only the tax base of countries worldwide, it also affects the nature of competition ... -
Software vulnerabilities and bug bounty programs
Bienz, Carsten; Juranek, Steffen (Discussion paper;4/20, Working paper, 2020-05-12)Many software developers employ bug bounty programs that award a prize for the detection of bugs in their software. We analyze, in a model with asymmetric information, under which conditions a bug bounty program is beneficial ... -
Taxing Royalty Payments
Juranek, Steffen; Schindler, Dirk; Schjelderup, Guttorm (Discussion paper;16/16, Working paper, 2016-09-16)The digital economy is characterized by the use of intellectual property such as software, patents and trademarks. The pricing of such intangibles is widely used to shift profits to low-tax countries. We analyze the role ... -
Using machine learning to predict patent lawsuits
Juranek, Steffen; Otneim, Håkon (Discussion paper;6/21, Working paper, 2021-06-22)We use machine learning methods to predict which patents end up at court using the population of US patents granted between 2002 and 2005. We analyze the role of the different dimensions of an empirical analysis for the ...