Downloads provided by UsageCounts
handle: 10261/175435 , 10261/175436 , 10261/201925 , 10261/175621
We characterize optimal reward-based crowdfunding where production is contingent on an aggregate funding threshold. Crowdfunding adapts project implementation to demand (market-testing) and its multiple prices enhance rent-extraction via pivotality, even for large crowds, indeed arbitrarily large if tastes are correlated. Adaptation raises welfare. Rent-extraction can enhance adaptation, but sometimes distorts production and lowers welfare. Threshold commitment, central to AllOr-Nothing platforms, raises profits but can lower consumer welfare. Platforms sometimes promote not-for-profits to raise success rates. When new buyers arrive ex-post, crowdfunding's market-test complements traditional nance and optimizes subsequent pricing. Crowdfunding is a general optimal mechanism in our baseline.
Trabajo presentado en la 43rd EARIE (European Association for Research in Industrial Economics) Annual Conference, organizada por la Nova School of Business and Economics (Nova SBE) en Lisboa del 26 al 28 de agosto de 2016
No
crowdfunding, rent-extraction, Mechanism design, market-testing, adaptation, mechanism design, Entrepreneurial finance, Market-testing, Rent-extraction, Other game-theoretic models, entrepreneurial finance, jel:L12, Entrepreneurial nance, Adaptation, Crowdfunding, Crowdfunding; mechanism design, Corporate finance (dividends, real options, etc.), jel: jel:C72, jel: jel:D42, jel: jel:L12
crowdfunding, rent-extraction, Mechanism design, market-testing, adaptation, mechanism design, Entrepreneurial finance, Market-testing, Rent-extraction, Other game-theoretic models, entrepreneurial finance, jel:L12, Entrepreneurial nance, Adaptation, Crowdfunding, Crowdfunding; mechanism design, Corporate finance (dividends, real options, etc.), jel: jel:C72, jel: jel:D42, jel: jel:L12
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 100 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
| views | 86 | |
| downloads | 174 |

Views provided by UsageCounts
Downloads provided by UsageCounts