Read more
Informationen zum Autor Charles F. Manski is Board of Trustees Professor of Economics at Northwestern University. Klappentext Policy analysis, like all empirical research, combines assumptions and data to draw conclusions about a population of interest. The logic of empirical inference is summarized by the relationship: assumptions + data conclusions. Data alone do not suffice to draw conclusions. Inference requires assumptions that relate the data to the population of interest ... Holding fixed the available data, and presuming avoidance of errors in logic, stronger assumptions yield stronger conclusions. At the extreme, one may achieve certitude by posing sufficiently strong assumptions. [However, ] the credibility of inference decreases with the strength of the assumptions maintained ... Researchers regularly express certitude about the consequences of alternative [policy] decisions. Exact predictions of outcomes are common, and expressions of uncertainty are rare. Yet policy predictions are often fragile. Conclusions may rest on critical, unsupported assumptions or on leaps of logic. Then the certitude of policy analysis is not credible. To academic readers steeped in [economics and decision theory], [Manski's] account is likely to be of some interest. It includes many useful and important insights (for example, the distinctions among policies based on the principles of 'maximin, ' 'minimax, ' and 'adaptive mini-max' regret) that have substantial implications for real-world policy.--Brian Baird"Science" (04/26/2013) Manski argues that public policy is based on untrustworthy analysis. Failing to account for uncertainty in an uncertain world, policy analysis routinely misleads policy makers with expressions of certitude. Manski critiques the status quo and offers an innovation to improve both how policy research is conducted and how it is used by policy makers.
