treatment, but is based on untestable assumptions and is subject to structural data mining. Combining the approaches by holding … trial, we provide a formal rationale for the use of a holdout sample in an environment in which data mining poses an …

problem is not to expect a mass renunciation of data mining, selective data cleaning or opportunistic methodology selection …

for stock returns related to the classic studies of Yule (1926) and Granger and Newbold (1974). Data mining for predictor …

damage. As expected, when the environmental damage from mining is known, the socially optimal timing will depend on the … mining until better information arrives. We show conditions under which it is optimal to postpone the mining decision … marginal mine owner is completely indifferent between mining immediately and at any point in the future. Thus, for our problem …

The rise of centralized mining pools for risk sharing does not necessarily undermine the decentralization required for … disproportionately fewer miners, and thus grow more slowly. Instead, mining pools as a financial innovation escalate the arms race among … evidence from Bitcoin mining supports our model predictions. The economic insights inform many other blockchain protocols as …