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Open source projects produce goods or standards that do not allow for the appropriation of private returns by those who contribute to their production. In this paper we analyze why programmers will nevertheless invest their time and effort to code open source software. We argue that the particular way in which open source projects are managed and especially how contributions are attributed to individual agents, allows the best programmers to create a signal that more mediocre programmers cannot achieve. Through setting themselves apart they can turn this signal into monetary rewards that correspond to their superior capabilities. With this incentive they will forgo the immediate rewards they could earn in software companies producing proprietary software by restricting the access to the source code of their product. Whenever institutional arrangements are in place that enable the acquisition of such a signal and the subsequent substitution into monetary rewards, the contribution to open source projects and the resulting public good is a feasible outcome that can be explained by standard economic theory.
Open source projects produce goods or standards that do not allow for the appropriation of private returns by those who contribute to their production. In this paper we analyze why programmers will nevertheless invest their time and effort to code open source software. We argue that the particular way in which open source projects are managed and especially how contributions are attributed to individual agents, allows the best programmers to create a signal that more mediocre programmers cannot achieve. Through setting themselves apart they can turn this signal into monetary rewards that correspond to their superior capabilities. With this incentive they will forgo the immediate rewards they could earn in software companies producing proprietary software by restricting the access to the source code of their product. Whenever institutional arrangements are in place that enable the acquisition of such a signal and the subsequent substitution into monetary rewards, the contribution to open source projects and the resulting public good is a feasible outcome that can be explained by standard economic theory.
Der folgende Beitrag geht der Frage nach, wie die Verteilung von Entscheidungs- und Handlungsrechten in Unternehmen im Rahmen der Corporate Governance ausgestaltet werden kann. Im Zentrum der Überlegungen steht die Frage, welcher der am Unternehmen beteiligten Interessengruppen diese Rechte sinnvollerweise zukommen sollten. Insbesondere die beiden polaren Systeme - das auf dem Shareholder-Value-Primat aufbauende System einer ausschließlich im Interesse der Aktionäre geführten Unternehmung auf der eine Seite - und einem Corporate Governance-System, das die Interessen aller am Unternehmen beteiligten Stakeholder berücksichtigt, auf der anderen Seite - werden geschildert und mit den Mitteln der ökonomischen Theorie bewertet. Spezifische Investitionen möglicher Stakeholder und die Institutionen und Mechanismen, die eine Absicherung der daraus entstehenden ökonomischen Renten für die jeweiligen Stakeholder erlauben, sind damit wichtige Bestimmungsparameter für die Unternehmensverfassung. Insbesondere die Existenz und Güte von Märkten innerhalb des Finanzsystems, in dem ein Unternehmen tätig ist, lassen das ein oder das andere Corporate Governance-System vorteilhafter erscheinen. Überlegungen zu anderen möglichen Mechanismen, die auf der internen Organisation von Unternehmungen basieren und dadurch eine Feinsteuerung von Entscheidungs- und Handlungsrechten - und der damit verbundenen Machtverteilung zwischen den Interessengruppen im Unternehmen - erlaubt, schließen die Arbeit ab.
Despite a lot of re-structuring and many innovations in recent years, the securities transaction industry in the European Union is still a highly inefficient and inconsistently configured system for cross-border transactions. This paper analyzes the functions performed, the institutions involved and the parameters concerned that shape market and ownership structure in the industry. Of particular interest are microeconomic incentives of the main players that can be in contradiction to social welfare. We develop a framework and analyze three consistent systems for the securities transaction industry in the EU that offer superior efficiency than the current, inefficient arrangement. Some policy advice is given to select the 'best' system for the Single European Financial Market.
Efficient systems for the securities transaction industry : a framework for the European Union
(2003)
This paper provides a framework for the securities transaction industry in the EU to understand the functions performed, the institutions involved and the parameters concerned that shape market and ownership structure. Of particular interest are microeconomic incentives of the industry players that can be in contradiction to social welfare. We evaluate the three functions and the strategic parameters - the boundary decision, the communication standard employed and the governance implemented - along the lines of three efficiency concepts. By structuring the main factors that influence these concepts and by describing the underlying trade-offs among them, we provide insight into a highly complex industry. Applying our framework, the paper describes and analyzes three consistent systems for the securities transaction industry. We point out that one of the systems, denoted as 'contestable monopolies', demonstrates a superior overall efficiency while it might be the most sensitive in terms of configuration accuracy and thus difficult to achieve and sustain.
Non-standard errors
(2021)
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.