Behavioural Economics with Python A Comprehensive Guide (Schwartz, Alice Van De.pdf
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内容丰富，矢量文字，一共200多页的大型资料，主要内容如下：
Chapter 1: Introduction to Behavioral Economics
Chapter 2: Essentials of Python for Economists
Chapter 3: Behavioral Data Analysis Techniques
Chapter 4: Predicting Economic Decisions
Chapter 5: Behavioral Biases and Heuristics
Chapter 6: Experimental Economics and A/B Testing
Chapter 7: Network Effects and Social Influence
Chapter 8: Behavioral Game Theory
Chapter 9: Behavioral Finance
Chapter 10: Policy Implications and Ethical Considerations
Additional Resources

I
CHAPTER 1:
INTRODUCTION TO
BEHAVIORAL
ECONOMICS
The Intricacies of Human
Choice: Behavioral Economics
Unveiled
n the intricate dance of human decision-making,behavioral economics emerges as a fascinating spectator,unraveling the subtle choreography of choices often
hidden from the naked eye. It is the study of howpsychological, cognitive, emotional, cultural, and socialfactors affect the economic decisions of individuals andinstitutions and how those decisions vary from those impliedby classical theory, which assumes rationality amongindividuals.
At its core, behavioral economics challenges the traditionaleconomic assumption that humans are rational actors whomake decisions solely to maximize their utility. Instead, itposits that humans are prone to biases and systemicthinking errors that lead to less-than-optimal choices. This
revelation is not a mere critique of human irrationality but agateway to a more nuanced understanding of economic
behavior.
This field draws upon insights from psychology to explainwhy individuals might, for example, procrastinate in saving
for retirement, prefer to stick with default options, or makechoices that contradict their long-term goals. Behavioral
economics does not reject the notion of rationality ineconomic behavior but rather refines it, adding layers of
complexity that reflect the genuine human experience.To illustrate, consider the concept of 'bounded rationality,'introduced by Herbert Simon, which suggests that cognitive
limitations often prevent individuals from making fullyinformed decisions. Similarly, Daniel Kahneman and Amos
Tversky's 'Prospect Theory' highlights how people valuegains and losses differently, leading to decision-making that
deviates from expected utility theory.These theories are not merely academic; they haveprofound implications for policymaking, marketing, andfinancial planning. By understanding the heuristics andbiases that influence behavior, economists can betterpredict outcomes, design more effective interventions, andcreate environments that nudge individuals towards betterchoices.