Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Improving Causal Claims in Public Policy through Randomized Designs in the Field
Journal of Comparative Policy Analysis: Research and Practice ( IF 3.9 ) Pub Date : 2020-07-23 , DOI: 10.1080/13876988.2020.1782751
Peter John 1
Affiliation  

Abstract

Randomized controlled trials carried out in the field have not been deployed in the study of the comparative policy process. Recent field experiments in political science and public administration offer a model to follow with their insights into the classic topics of public policy, such as biases of decision-makers and responsiveness to citizen demands. This paper reviews the development of RCTs in policy evaluation and traces their impact more generally across the social sciences. Scholars in public policy have recently carried out several survey experiments, which suggests greater potential for making causal inferences from the field in future years.



中文翻译:

通过现场随机设计改进公共政策中的因果关系

摘要

在该领域进行的随机对照试验尚未用于比较政策过程的研究。最近在政治学和公共管理领域的实地实验提供了一个模型,可以让他们了解公共政策的经典主题,例如决策者的偏见和对公民需求的响应。本文回顾了随机对照试验在政策评估中的发展,并更广泛地追溯了它们对社会科学的影响。公共政策学者最近进行了几项调查实验,这表明未来几年从该领域进行因果推断的潜力更大。

更新日期:2020-07-23
down
wechat
bug