Quasilinear‐mean regression
提出使用拟线性均值族替代算术均值来研究经济结果，以更好地满足政策制定者的需求，并指出Goldberger和Kennedy的常见偏差校正因隐含矛盾而适得其反。
Abstract Economists usually inform policymakers with conclusions that come from studying statistical expectations, or arithmetic means, of potential outcomes. I introduce other types of means to study, from the broader “quasilinear” family, and show that often they will better respect the needs of policymakers. The same logic reveals that a common bias correction from Goldberger and Kennedy is counterproductive because it implies a contradiction in policymaker needs. In making these arguments, I collate and build on many earlier contributions, which before now have been disjointed and spread across outlets for different research fields.