PUBLIC POLICY IMPLICATIONS OF COGNITIVE BIASES AND HEURISTICS

2020 ◽  
Vol 13 ((13/72)) ◽  
pp. 871-878
Author(s):  
Mehmet SEVGİN
Keyword(s):  
Public Policy ◽  
Cognitive Biases ◽  
Policy Implications ◽  
Biases And Heuristics

scholarly journals The impacts of cognitive biases and heuristics on Covid-19 preventive behaviors

2021 ◽  
pp. 143-149
Author(s):  
Mehmet Sevgin
Keyword(s):  
Public Policy ◽  
Cognitive Biases ◽  
Public Policies ◽  
Preventive Behaviors ◽  
Scientific Disciplines ◽  
Impact Area ◽  
Highly Correlated ◽  
Biases And Heuristics

The covid-19 pandemic disease became part of the study of many scientific disciplines recently since its impact area is large and it threatened millions of lives. One of the important disciplines is public policy since the characteristics may easily influence the spread of covid-19. It is assumed that an individual’s irrational tendencies can increase this spread since they are highly correlated with the most important actions of prevention of the spread such as isolation, wearing a mask, and washing hands. Moreover, public policies can be effective in such a pandemic period if they take into consideration of individual’s irrational tendencies. Hence, in this study the psychological background of why individuals do not follow the regulations that can decrease the spread of covid-19 will be presented: cognitive biases and heuristics.

scholarly journals Nudge Versus Boost: Agency Dynamics Under Libertarian Paternalism

2019 ◽  
Vol 130 (629) ◽  
pp. 1384-1415 ◽  
Author(s):  
Ralph Hertwig ◽  
Michael D Ryall
Keyword(s):  
Cognitive Biases ◽  
Policy Implications ◽  
Best Interests ◽  
Libertarian Paternalism ◽  
The Future ◽  
Set Up ◽  
The Individual

ABSTRACT Thaler and Sunstein (2008) advance the concept of ‘nudge’ policies—non-regulatory and non-fiscal mechanisms designed to enlist people's cognitive biases or motivational deficits so as to guide their behaviour in a desired direction. A core assumption of this approach is that policymakers make artful use of people's cognitive biases and motivational deficits in ways that serve the ultimate interests of the nudged individual. We analyse a model of dynamic policymaking in which the policymaker's preferences are not always aligned with those of the individual. One novelty of our set-up is that the policymaker has the option to implement a ‘boost’ policy, equipping the individual with the competence to overcome the nudge-enabling bias once and for all. Our main result identifies conditions under which the policymaker chooses not to boost in order to preserve the option of using the nudge (and its associated bias) in the future—even though boosting is in the immediate best interests of both the policymaker and the individual. We extend our analysis to situations in which the policymaker can be removed (e.g., through an election) and in which the policymaker is similarly prone to bias. We conclude with a discussion of some policy implications of these findings.

EXPRESS: Big Data, Marketing Analytics, and Public Policy: Implications for Health Care

2021 ◽  
pp. 074391562199903
Author(s):  
Praveen K. Kopalle ◽  
Donald R. Lehmann
Keyword(s):  
Health Care ◽  
Public Policy ◽  
Big Data ◽  
Policy Implications ◽  
Marketing Analytics

This paper highlights some benefits to and issues with the application of big data and analytics, with emphasis on its role in health care. It considers both its effectiveness/value (i.e., how it can be used) and concerns about its use related to privacy and acceptance by individuals (i.e., how it should be used)

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