Social Science and Policy Analysis

Author(s):  
Mark H. Moore
Author(s):  
Jeffrey Johnson ◽  
Paul Ormerod ◽  
Bridget Rosewell ◽  
Andrzej Nowak ◽  
Yi-Cheng Zhang

Author(s):  
Andrew E. Clark ◽  
Sarah Flèche ◽  
Richard Layard ◽  
Nattavudh Powdthavee ◽  
George Ward

This chapter demonstrates that policy analysis should be based on happiness as the measure of benefit (except where traditional methods actually work). It argues that this should be generally applied throughout the public services and by nongovernment organizations (NGOs). The chapter offers four key proposals. The first is that the goal of governments should be to increase the happiness of the people and, especially, to reduce misery. Where willingness to pay is not a feasible measure of benefit, governments should develop new methods of policy analysis based on point-years of happiness as the measure of benefit. All policy change should be evaluated through controlled experiments in which the impact on happiness is routinely measured. A major objective of social science (and of its funders) should be to throw light on the causes of happiness, and how it can be enhanced—and at what cost.


Author(s):  
Robert Klitgaard

This book shows how we can look at the intersections among cultural settings, local choices, and development outcomes. A success story from Nepal serves as a prototype. Data, examples of success, and frameworks for analysis were developed locally and internationally and then shared in ways that elicited local creativity and respected cultural differences. This story serves as a springboard for reconsidering how to generate and apply cultural knowledge. The guiding metaphor might be “soil science” rather than “social science.” The culture and development manifesto calls for more science and more listening, for boldness and humility. It recommends a new paradigm for policy analysis and evaluation, as well as for the application of anthropological wisdom, where the goal is not to provide a set of answers that decision-makers or citizens should adopt and bureaucrats should implement, but to share data, examples, and frameworks in ways that helps locals enrich their creativity and expand their sovereignty.


2015 ◽  
Vol 50 (2) ◽  
pp. 161-185 ◽  
Author(s):  
Beryl A. Radin

This article focuses on one expression of the relationship between science and policy analysis: the Office of Information and Regulatory Affairs (OIRA) in the Office of Management and Budget. It has used a classic policy analysis technique—cost–benefit analysis—as the way that the White House will review regulations. This discussion highlights the utilization of the cost–benefit method in the OIRA decision-making process, the roles of various actors in the system, and the response to that use by various policy actors. It illustrates the difficulty of utilizing rational analytical methods in an environment of political conflict.


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