Behavioral Economics and Nuclear Weapons
- Indbinding:
- Paperback
- Sideantal:
- 232
- Udgivet:
- 1. maj 2023
- Størrelse:
- 152x14x229 mm.
- Vægt:
- 383 g.
- 8-11 hverdage.
- 7. december 2024
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- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Behavioral Economics and Nuclear Weapons
Recent discoveries in psychology and neuroscience have improved our understanding of why our decision making processes fail to match standard social science assumptions about rationality. As researchers such as Daniel Kahneman, Amos Tversky, and Richard Thaler have shown, people often depart in systematic ways from the predictions of the rational actor model of classic economic thought because of the influence of emotions, cognitive biases, an aversion to loss, and other strong motivations and values. These findings about the limits of rationality have formed the basis of behavioral economics, an approach that has attracted enormous attention in recent years. This collection of essays applies the insights of behavioral economics to the study of nuclear weapons policy. Behavioral economics gives us a more accurate picture of how people think and, as a consequence, of how they make decisions about whether to acquire or use nuclear arms. Such decisions are made in real-world circumstances in which rational calculations about cost and benefit are intertwined with complicated emotions and subject to human limitations. Strategies for pursuing nuclear deterrence and nonproliferation should therefore, argue the contributors, account for these dynamics in a systematic way. The contributors to this collection examine how a behavioral approach might inform our understanding of topics such as deterrence, economic sanctions, the nuclear nonproliferation regime, and U.S. domestic debates about ballistic missile defense. The essays also take note of the limitations of a behavioral approach for dealing with situations in which even a single deviation from the predictions of any model can have dire consequences.
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