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We rely on economic theory to discuss how blockchain technology will shape the rate and direction of innovation. We identify two key costs affected by the technology: 1) the cost of verification; and 2) the cost of networking. The first... more
We rely on economic theory to discuss how blockchain technology will shape the rate and direction of innovation. We identify two key costs affected by the technology: 1) the cost of verification; and 2) the cost of networking. The first cost relates to the ability to cheaply verify the attributes of a transaction. The second one to the ability to bootstrap and operate a marketplace without the need for a traditional intermediary: When combined with a native token (as in Bitcoin and Ethereum), a blockchain allows a decentralized network of economic agents to agree, at regular intervals , about the true state of shared data. This shared data can represent exchanges of currency, intellectual property, equity, information or other types of contracts and digital assets-making blockchain a general purpose technology that can be used to trade scarce, digital property rights and create novel types of digital platforms. The resulting marketplaces are characterized by increased competition, lower barriers to entry and innovation, lower privacy and censorship risk, and allow participants within the same ecosystem to make investments to support and operate shared infrastructure without assigning market power to a platform operator. They also challenge the existing revenue models and accumulated knowledge and resources of incumbents, and open opportunities for new approaches to startup fundraising, the provision of public goods and software protocols, data ownership and licensing, auctions and reputation systems.
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We rely on economic theory to discuss how blockchain technology and cryptocurrencies will influence the rate and direction of innovation. We identify two key costs that are affected by distributed ledger technology: 1) the cost of... more
We rely on economic theory to discuss how blockchain technology and cryptocurrencies will influence the rate and direction of innovation. We identify two key costs that are affected by distributed ledger technology: 1) the cost of verification; and 2) the cost of networking. Markets facilitate the voluntary exchange of goods and services between buyers and sellers. For an exchange to be executed, key attributes of a transaction need to be verified by the parties involved at multiple points in time. Blockchain technology, by allowing market participants to perform costless verification, lowers the costs of auditing transaction information, and allows new marketplaces to emerge. Furthermore, when a distributed ledger is combined with a native cryptographic token (as in Bitcoin), marketplaces can be bootstrapped without the need of traditional trusted intermediaries, lowering the cost of networking. This challenges existing revenue models and incumbents's market power, and opens opportunities for novel approaches to regulation, auctions and the provision of public goods, software, identity and reputation systems.
Traditional innovation models assume that ideas are developed as long as their benefit is greater than their cost. So, when the opportunity cost of time is lowered, such as during a holiday from work, more projects are developed, but they... more
Traditional innovation models assume that ideas are developed as long as their benefit is greater than their cost. So, when the opportunity cost of time is lowered, such as during a holiday from work, more projects are developed, but they have a lower expected benefit. We develop a simple theoretical framework that allows innovators to choose the level of effort they apply towards the development of their idea in a context where the returns to effort are greater for higher quality ideas. We also allow for lower team coordination costs during periods when individuals have overlapping slack time. Under these conditions, slack time may lead to not only lower but also higher quality projects. We test the model's predictions using data on 165,410 projects posted on Kickstarter during college breaks. Consistent with the model's predictions, during university breaks more projects are posted and the increase is largest for projects of either very high or very low quality. Furthermore, projects posted during breaks are more complex, with larger teams and more diverse skills.
We test how a reduction in travel cost affects the rate and direction of scientific research. Using a fine-grained, scientist-level dataset within chemistry (1991-2012), we find that after Southwest Airlines enters a new route, scientific... more
We test how a reduction in travel cost affects the rate and direction of scientific research. Using a fine-grained, scientist-level dataset within chemistry (1991-2012), we find that after Southwest Airlines enters a new route, scientific collaboration increases by 30%, an effect that is magnified when weighting output by quality. The benefits from the lower fares, however, are not uniform across scientist types: younger scientists and scientists that are more productive than their local peers respond the most. Thus, cheaper flights, by reducing frictions otherwise induced by geography and allowing for additional face-to-face interactions, seem to enable better matches over distance.
In October 2014, all 4,494 undergraduates at the Massachusetts Institute of Technology were offered access to Bitcoin, a decentralized digital currency. As a unique feature of the experiment, students who would generally adopt first were... more
In October 2014, all 4,494 undergraduates at the Massachusetts Institute of Technology were offered access to Bitcoin, a decentralized digital currency. As a unique feature of the experiment, students who would generally adopt first were placed in a situation where many of their peers received access to the technology before them, and they then had to decide whether to continue to invest in this digital currency or exit. Our results suggest that when natural early adopters are delayed relative to their peers, they are more likely to reject the technology. We present further evidence that this appears to be driven by identity, in that the effect occurs in situations where natural early adopters' delay relative to others is most visible, and in settings where the natural early adopters would have been somewhat unique in their tech-savvy status. We then show not only that natural early adopters are more likely to reject the technology if they are delayed, but that this rejection generates spillovers on adoption by their peers who are not natural early adopters. This suggests that small changes in the initial availability of a technology have a lasting effect on its potential: Seeding a technology while ignoring early adopters' needs for distinctiveness is counterproductive.
Citations to previous literature are extensively used to measure the quality and diffusion of knowledge. However, we know little about the different ways in which a study can be cited; in particular, are papers cited to point out their... more
Citations to previous literature are extensively used to measure the quality and diffusion of knowledge. However, we know little about the different ways in which a study can be cited; in particular, are papers cited to point out their merits or their flaws? We elaborated a methodology to characterize "negative" citations using bibliometric data and natural language processing. We found that negative citations concerned higher-quality papers, were focused on a study's findings rather than theories or methods, and originated from scholars who were closer to the authors of the focal paper in terms of discipline and social distance, but not geographically. Receiving a negative citation was also associated with a slightly faster decline in citations to the paper in the long run.
The extant literature linking slack time to innovation focuses on how slack time facilitates creative activities such as ideation, experimentation, and prototype development. We turn attention to how slack time may enable activities that... more
The extant literature linking slack time to innovation focuses on how slack time facilitates creative activities such as ideation, experimentation, and prototype development. We turn attention to how slack time may enable activities that are less creative but still important for innovation, namely mundane, execution-oriented tasks. First, we document the main effect: a sharp rise in innovative projects posted on a major crowdfunding platform when colleges are on break. Next, we report timing and project type evidence consistent with the causal interpretation that slack time drives innovation. Finally, we present a series of results consistent with the mundane task mechanism but not with the traditional creativity-related explanations. We do not rule out the possibility that creativity benefits from slack time. Instead, we introduce the idea that mundane, execution-oriented tasks, such as those associated with launching a crowdfunding campaign (e.g., administration, planning, promotion), are an important input to innovation that may benefit significantly from slack time.
Information asymmetry presents a challenge to equity crowdfunding just as in other markets for equity capital. Investors are less likely to finance startups when it is difficult to assess quality. We argue that syndicates reduce market... more
Information asymmetry presents a challenge to equity crowdfunding just as in other markets for equity capital. Investors are less likely to finance startups when it is difficult to assess quality. We argue that syndicates reduce market failures caused by information asymmetry by shifting the focal investment activities of the crowd from startups to lead investors. Syndicates align incentives of issuers, lead and follow on investors by providing incentives for lead investors to conduct due diligence, monitor progress, and exploit their reputation. We report preliminary evidence that foreshadows a meaningful role for syndicates in the allocation of capital to early-stage ventures.
The aim of this paper is to provide an empirical exploratory analysis of the research networks linking scientists engaged in the world of open science and researchers involved in the domain of private technology. To this purpose, the... more
The aim of this paper is to provide an empirical exploratory analysis of the research networks linking scientists engaged in the world of open science and researchers involved in the domain of private technology. To this purpose, the study combines in an original way data on scientific co-authorship and data on patent co-invention at the level of individual researchers for
ABSTRACT It is not surprising that the financing of early-stage creative projects and ventures is typically geographically localized since these types of funding decisions are usually predicated on personal relationships and due diligence... more
ABSTRACT It is not surprising that the financing of early-stage creative projects and ventures is typically geographically localized since these types of funding decisions are usually predicated on personal relationships and due diligence requiring face-to-face interactions in response to high levels of risk, uncertainty, and information asymmetry. So, to economists, the recent rise of crowdfunding—raising capital from many people through an online platform—which offers little opportunity for careful due diligence and involves not only friends and family but also many strangers from near and far, is initially startling. On the eve of launching equity-based crowdfunding, a new market for early-stage finance in the United States, we provide a preliminary exploration of its underlying economics. We highlight the extent to which economic theory, in particular transaction costs, reputation, and market design, can explain the rise of nonequity crowdfunding and offer a framework for speculating on how equity-based crowdfunding may unfold. We conclude by articulating open questions related to how crowdfunding may affect social welfare and the rate and direction of innovation.
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... Christian Catalini University of Toronto, Rotman School of Management christian@catalini.com ... to keep a window open on new sources of knowledge, thereby mitigating the risk of lock-in that could arise in the context of densely... more
... Christian Catalini University of Toronto, Rotman School of Management christian@catalini.com ... to keep a window open on new sources of knowledge, thereby mitigating the risk of lock-in that could arise in the context of densely connected cliques (Cowan and Jonard, 2004). ...