Events

Both organizational and sociological approaches in entrepreneurship research highlight the importance of social context ins haping individual preferences for entrepreneurship. An influential contextual factor that has not been studied in entrepreneurship research is one's boss at work. Do entrepreneurial bosses contribute to their employees' decisions to become entrepreneurs themselves? Using Danish register data of newly founded firms and their entrepreneurs and employees between 2003 and 2012, and employing methods that allow causal inferences, we show that entrepreneurial bosses indeed affect their employees' future entrepenruship choices, especially if both boss and employees are female. We investigate two alternative underlying mechanisms that may shape the (female) boss' influence on (female) workers' entrepreneurship decisions. Our resuls consistently suggest that entrepreneurial bosses may act as role models for the entrepreneurship activities of their employees, especially between pairs of female bosses and female employees. We do no find any evidence on female bosses acting as "queen bees" at the workplace. Female entrepreneurial bosses may, thus, act as a lever to reducing the gender gaps in entrepreneurship rates.

Nachdem im Kartellrechts-Zyklus Vertikalthemen und insbesondere der Online-Handel zuletzt aus rechtlicher Sicht beleuchtet wurden, soll die Diskussion mit der ökonomischen Perspektive zu dem Thema abgerundet werden. Wir laden herzlich zum nächsten Kartellrechtsvortrag vom Referenten Thilo Kraus, Executive Vice President bei Compass Lexecon in London und Düsseldorf, zum Thema "Wettbewerbsfolgen von Beschränkungen des Internetvertriebs – ökonomische Grundlagen" ein.

Die Aktuelle Viertelstunde wird Dr. Andreas Boos, Special Counsel by Milbank in München, zum Thema “ ‘Fair Trial’ in Bundeskartellamtsverfahren? – Aktuelle Rechtsfragen zu einem transparenten, objektiven und fairen Verfahren vor dem Bundeskartellamt” bestreiten.

Wir freuen uns auf Ihr Kommen und bitten um Anmeldung bis 2. November 2016 bei Frau Delia Zirilli unter delia.zirilli(at)ip.mpg.de.

On Friday, 4 November 2016, the 4th Crowdinvesting Symposium „Financial Decision Making and the Internet“ takes place at the Max Planck Institute for Innovation and Competition.

In 2016, the topic of the symposium is ”Financial Decision Making and the Internet“. The following research areas will be covered: Entrepreneurial Finance, Reward-Based and Equity Crowdfunding, Social Trading, Personal Financial Management, Robo Advice, Block Chain and Virtual Currencies.

The symposium offers academics and practitioners a platform to exchange ideas about the latest developments in this field as well as for networking. Moreover, it is a forum for the information of legislators on the European and national level on a scientific basis and with regard to new legislative proposals or legal reform projects.

Symposium Agenda

• 8:30 a.m. - 4:00 p.m. – Academic Session (invitation only)
• 4:00 p.m. - 4:30 p.m. – Arrival and Registration Public Session
• 4:30 p.m. - 4:40 p.m. – Latest Findings of the DFG Group on Crowdinvesting – Lars Hornuf (University of Trier and Max Planck Institute for Innovation and Competition)
• 4:40 p.m. - 5:15 p.m. – Keynote – Ethan Mollick (Wharton School of the University of Pennsylvania)
• 5:15 p.m. - 7:00 p.m. – Panel Discussion – including Claas Ludwig (Federal Ministry of Finance), Ethan Mollick (Wharton School), Daniel Halmer (raisin), Erik Podzuweit (Scalable Capital), Andrea Rexer (Süddeutsche Zeitung)
• 7:00 p.m. - 7:30 p.m. – Get-Together

^{The symposium will be held in English.}

Registration
Registration for the public part of the symposium from 4 p.m.

Academic Workshop Agenda
To the Agenda 
To the Call for Papers

For further information, please contact Matthias Schmitt.

Abstract:

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 of a source tax on royalty payments for abusive transfer pricing, and optimal tax policy. First, we show that mispricing of royalty payments does not affect investment behavior by multinationals.

Second, it is in the vast majority of cases not optimal for a government to set the source tax equal to the corporate tax rate. The reason is that shutting down abusive transfer pricing activities needs to be traded off against mitigating the corporate tax distortion in capital investment. The latter can be achieved by some tax deductibility of royalty payments. If the true arm’s length transfer price equals zero or for special corporate tax systems that treat debt and equity alike (i.e., for ACE and CBIT), it will be optimal to equate both tax rates.

Paper can be accessed at: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2839756

The Max Planck Institute Post-Doc Conference 2016 seeks to advance the discussion on the challenges and future approaches of the law relating to personal data, in particular as regards competition law (including unfair competition law), consumer protection and general civil law as well as IP law. It provides young scholars (professors, assistant professors, lecturers and advanced PhD students) with an opportunity to present, discuss and publish their research.

Event Programme Post-Doc Conference 2016

Abstract:

Though fundamental to innovation and essential to many industries and occupations, the creative act has received limited attention as an economic behavior and has historically proven difficult to study. This paper studies the incentive effects of competition on individuals' creative production. Using a sample of commercial logo design competitions, and a novel, content-based measure of originality, I find that intensifying competition induces agents to explore novel, untested ideas over tweaking their earlier work, but heavy competition drives them to stop investing altogether. The results yield lessons for the management of creative workers and for the implementation of competitive procurement mechanisms for innovation.

Abstract:
We present preliminary results from a survey of 7,611 academic researchers across multiple fields in the US, Germany and Switzerland. The survey covers pre-publication sharing of research results, competition, norms of science, commercial orientation and size of research group. Results are presented across two related topics. Part I: We report the extent to which researchers report public (general) sharing of results prior to publication, and at what stage they share. Depending on their willingness to generally share and their propensity to withhold crucial parts respondents are divided into three types: sharers, ambivalent sharers and non-sharers. These are, respectively, 23.9%, 38.9%, and 37.2% of respondents. We estimate a probability model to examine the extent to which a belief that the norms of science hold in one’s area, competition and commercial orientation explain these field differences.

Part II: Recent research has considered the effect of team size on research productivity (citations, publications and patents). That work has typically focused on a single measure of team size (e.g., number of coauthors) and has failed to account for the endogeneity that exists between measures of research productivity and team size. We measure team size by number of coauthors, number in one’s research group, and number of groups worldwide in which there are collaborators. All three team size measures are found to be endogenous and instrumental variables estimation is used.

• Introduction to Crowd Innovation Lab at Harvard, the Lab with a mission to study the contests, the crowds, and to use the crowds to crack challenges for NASA and Academia

• The insights on crowdsourcing - advantages, trade-offs and niches

• Algorithm and Data Science challenges as a sweet-spot of crowdsourcing - examples, results and stories

Dr. Rinat Sergeev is Senior Data Scientist & Chief Scientific Advisor at the Crowd Innovation Lab/NASA Tournament Lab at Harvard University. Rinat works as a head of data science team, and a lead science and technical expert on exploring and utilizing crowdsourcing approaches in application to the data science and algorithmic challenges, coming from NASA, Business, or Academia. Rinat received his PhD in Quantum Mechanics in Ioffe Institute, Saint Petersburg. His research interests include conceptual analysis, analytical approaches and models in multiple areas.