Interpretive Social Science and Policy Analysis

1983 ◽  
pp. 3-35 ◽  
Author(s):  
Bruce Jennings
Keyword(s):  
Social Science ◽  
Policy Analysis ◽  
Science And Policy

scholarly journals Non-Equilibrium Social Science and Policy

2017 ◽  
pp. 1-17 ◽  
Author(s):  
Jeffrey Johnson ◽  
Paul Ormerod ◽  
Bridget Rosewell ◽  
Andrzej Nowak ◽  
Yi-Cheng Zhang
Keyword(s):  
Social Science ◽  
Science And Policy ◽  
Non Equilibrium

Measuring Cost-Effectiveness in Terms of Happiness

2019 ◽  
pp. 197-210
Author(s):  
Andrew E. Clark ◽  
Sarah Flèche ◽  
Richard Layard ◽  
Nattavudh Powdthavee ◽  
George Ward
Keyword(s):  
Cost Effectiveness ◽  
Social Science ◽  
Willingness To Pay ◽  
Policy Analysis ◽  
Policy Change ◽  
Public Services ◽  
Controlled Experiments ◽  
The Public ◽  
The People ◽  
The Impact

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.

Culture and Development Reconsidered

2020 ◽  
pp. 146-166
Author(s):  
Robert Klitgaard
Keyword(s):  
Social Science ◽  
Policy Analysis ◽  
Cultural Differences ◽  
Cultural Knowledge ◽  
Decision Makers ◽  
New Paradigm ◽  
Analysis And Evaluation ◽  
Share Data ◽  
Development Outcomes ◽  
Culture And Development

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.

Science and Policy Analysis in the U.S. Office of Information and Regulatory Affairs

2015 ◽  
Vol 50 (2) ◽  
pp. 161-185 ◽  
Author(s):  
Beryl A. Radin
Keyword(s):  
Policy Analysis ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Political Conflict ◽  
Science And Policy ◽  
White House ◽  
Regulatory Affairs ◽  
Analysis Technique ◽  
The Cost ◽  
The Relationship

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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