  The use of multiple hypothesis testing adjustments varies widely in applied
economic research, without consensus on when and how it should be done. We
provide a game-theoretic foundation for this practice. Adjustments are often
appropriate in our model when research influences multiple policy decisions.
While control of classical notions of compound error rates can emerge in
special cases, the appropriate adjustments generally depend on the nature of
scale economies in the research production function and on economic
interactions between policy decisions. When research examines multiple outcomes
this motivates their aggregation into sufficient statistics for policy-making
rather than multiple testing adjustments.
