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Monetizing Digital Content through Network Effects: A Mechanism-Design Approach
The study provides a framework for understanding and designing profit-maximizing strategies for digital content creators, especially those with smaller audiences. By considering network effects and the non-rival nature of digital content, creators can implement mechanisms that encourage voluntary contributions and community support. These strategies not only enhance profitability but also ensure the sustainability of content creation in the evolving digital landscape.
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Understanding the Wisdom of Crowds in Economic Forecasting
In simple terms, this paper tells us that while “the wisdom of crowds” does work for economic forecasts, there is a point of diminishing returns. The initial few forecasts bring large improvements in accuracy, but adding more forecasts beyond that point yields only small gains. The equicorrelation model not only provides a clear explanation for this phenomenon but also confirms that averaging forecasts equally is nearly the best approach. This work has important implications for how economic forecasting surveys might be organized in the future.
