Introduction
As a student studying the Economics of Human Behaviour, I am tasked with outlining a 1,400-word academic paper based on Chapter 2 of SuperFreakonomics by Steven Levitt and Stephen Dubner (2009). This chapter, titled “Why Should Suicide Bombers Buy Life Insurance?”, explores unconventional economic insights into terrorism detection and historical medical practices, particularly the resistance to hand-washing in 19th-century hospitals. The proposed paper will adhere strictly to the specified structure: a summary comprising approximately one-third of the word count (around 467 words) and an analysis section making up the remaining two-thirds (around 933 words). The focus will be on how rational actors make decisions at the margin, drawing from key course principles such as the principle of rationality, sequential decision-tree models solved via backward induction, subgame perfect Nash equilibrium (SPNE), increasing marginal opportunity costs, concave production possibilities curves (PPC), diminishing marginal benefit, and the marginal benefit-marginal cost (MB=MC) equilibrium.
The paper’s purpose is to demonstrate how economic theories explain seemingly irrational behaviours in real-world scenarios, emphasising utility maximisation. In the context of human behaviour economics, this outline highlights rational decision-making under constraints, using verified examples from the chapter. For instance, it will connect terrorist financial planning to game-theoretic models and doctors’ reluctance to adopt hand-washing to opportunity cost principles. This approach aligns with broader economic literature on behavioural incentives (Mankiw, 2018). The outline will ensure logical progression, supported by evidence from the chapter and academic sources, while maintaining a critical yet limited depth suitable for undergraduate analysis. Key arguments will evaluate how these principles reveal utility-maximising behaviours, with implications for policy in security and healthcare.
Summary Section Outline
The summary section, targeted at 467 words, will provide a concise overview of Chapter 2’s main content, setting the stage for analysis without delving into theoretical explanations. It will begin by introducing the chapter’s central puzzle: why potential terrorists might purchase life insurance, as explored through data-driven insights. Levitt and Dubner (2009) discuss a British bank’s algorithm, developed post-9/11, which identifies terrorist suspects by analysing banking patterns. The authors explain that terrorists, aiming to blend in, follow a sequential financial path—opening accounts, buying insurance, and making withdrawals—leaving detectable “signatures.” This is illustrated with anonymised data showing how such patterns differ from ordinary customers, arguably allowing banks to flag risks efficiently.
Next, the summary will cover the chapter’s shift to historical medical behaviour, focusing on Ignaz Semmelweis’s 1840s discovery in Vienna that hand-washing with chlorinated lime reduced childbed fever mortality from 10-15% to under 2%. Despite this evidence, doctors resisted the practice, leading to unnecessary deaths. Levitt and Dubner attribute this to social and professional norms, where physicians viewed themselves as gentlemen unsullied by “dirty” tasks, and the time-intensive nature of hand-washing conflicted with high patient volumes. The summary will note real-world data, such as mortality rates in Semmelweis’s clinic, and touch on modern parallels in hospital hygiene, emphasising that these behaviours were not random but rooted in perceived self-interest.
Throughout, the summary will maintain neutrality, avoiding analytical depth, and focus on factual recounting to meet the one-third allocation. It will conclude by linking the two narratives under the theme of hidden incentives in human behaviour, preparing for the analytical section. This structure ensures clarity, with transitions like “furthermore” to connect ideas, and parenthetical notes for context (e.g., Semmelweis’s work predated germ theory, highlighting information asymmetry). Evidence will be drawn directly from Levitt and Dubner (2009), ensuring accuracy without fabrication.
Analysis Section Outline: Sequential Decision-Tree Model and Backward Induction
In the analysis section, comprising two-thirds of the paper (933 words), the first subsection will apply the sequential decision-tree model and backward induction to explain the banking algorithms for detecting terrorists, emphasising rational actors’ marginal decisions. Drawing from course modules, the principle of rationality posits that individuals maximise utility based on available information (Mankiw, 2018). Here, terrorists are modelled as rational actors navigating a decision tree: first opening a bank account, then purchasing life insurance (to avoid suspicion), and finally withdrawing funds before an attack. This sequence represents branches in a game-theoretic tree, where each choice depends on prior ones.
Backward induction, solving the tree from the end (the “attack” outcome) backwards, reveals optimal strategies. The banking algorithm employs this by identifying patterns that rational plotters would follow to blend in, such as avoiding large transactions at the margin to minimise detection risk. For example, if a terrorist weighs the marginal benefit of insurance (normalcy) against the cost (potential flagging), they proceed if MB exceeds MC. The algorithm, as described by Levitt and Dubner (2009), works backwards from attack scenarios to spot early signatures, achieving a subgame perfect Nash equilibrium (SPNE) where all players (terrorists and banks) choose best responses in every subgame (Dixit and Skeath, 2004). This demonstrates limited critical evaluation: while effective, the model assumes perfect rationality, which may overlook behavioural biases like overconfidence, a limitation in applying game theory to human behaviour.
Furthermore, the analysis will argue that this framework highlights decisions at the margin; terrorists adjust behaviours incrementally to maximise utility, but the algorithm exploits these rational choices for prevention. Supporting evidence includes the chapter’s data on flagged accounts, showing high accuracy in simulations.
Analysis Section Outline: Increasing Marginal Opportunity Costs and Concave PPC
The next analytical subsection will use the principle of increasing marginal opportunity costs and a concave PPC to explain historical resistance to hand-washing. As resources are reallocated towards one good, the opportunity cost rises increasingly (Mankiw, 2018). In Semmelweis’s era, doctors faced a trade-off between “clinical sanitation” (hand-washing) and “patient volume.” A concave PPC graphically represents this: the curve bows outward, indicating that producing more sanitation requires giving up progressively larger amounts of patient care time.
For rational doctors, maximising utility meant balancing these at the margin. Initially, hand-washing offered high marginal benefit (reduced mortality), but as frequency increased (e.g., the 50th wash), diminishing marginal utility set in—the additional benefit decreased while opportunity costs escalated, such as lost time for consultations. Levitt and Dubner (2009) note that doctors perceived hand-washing as low-status, inflating perceived costs. Thus, they reached an equilibrium where MB of further washing fell below MC, leading to resistance. This connects to rationality: behaviours were not irrational but utility-maximising given constraints, though arguably limited by incomplete information pre-germ theory.
Evidence from historical reports, like those from the World Health Organization on hygiene evolution (WHO, 2009), supports this, showing similar trade-offs in modern settings. The analysis will evaluate perspectives, noting that while the PPC model explains inertia, it overlooks social norms, a potential limitation.
Analysis Section Outline: MB=MC Intersection and Utility-Maximising Behaviour
The final analytical subsection will integrate the MB=MC principle to determine overall utility-maximising behaviour across the chapter. Rational actors continue activities until marginal benefit equals marginal cost (Mankiw, 2018). For terrorists, this means calibrating financial steps where MB of blending in (e.g., insurance) equals MC (detection risk). Doctors similarly equilibrated by not washing when perceived MC (time loss) exceeded MB (infection reduction).
This focus on marginal decisions reveals how incentives drive behaviour: banks disrupt terrorists’ equilibrium via algorithms, while Semmelweis’s intervention shifted doctors’ MB curve upward, though resistance persisted due to high perceived costs. The analysis will consider a range of views, such as behavioural economics critiques that bounded rationality affects MB=MC calculations (Simon, 1978). Implications include policy designs that alter marginal incentives, like incentives for hand hygiene in healthcare.
Conclusion
In summary, this outline for a 1,400-word paper on Chapter 2 of SuperFreakonomics structures a balanced exploration: a factual summary (one-third) followed by detailed analysis (two-thirds) using specified economic principles. Key arguments demonstrate that rational actors, from terrorists to doctors, make marginal decisions to maximise utility, as seen in decision trees, PPCs, and MB=MC equilibria. However, limitations like information asymmetry highlight the principles’ boundaries. Implications for economics of human behaviour include better incentive-based policies in security and health, encouraging further research into behavioural nudges. This approach fosters a sound understanding of rational choice theory, with practical relevance.
References
- Dixit, A.K. and Skeath, S. (2004) Games of Strategy. 2nd edn. W.W. Norton & Company.
- Levitt, S.D. and Dubner, S.J. (2009) SuperFreakonomics: Global Cooling, Patriotic Prostitutes, and Why Suicide Bombers Should Buy Life Insurance. HarperCollins.
- Mankiw, N.G. (2018) Principles of Economics. 8th edn. Cengage Learning.
- Simon, H.A. (1978) ‘Rationality as Process and as Product of Thought’, The American Economic Review, 68(2), pp. 1-16.
- World Health Organization (2009) WHO Guidelines on Hand Hygiene in Health Care. Geneva: WHO Press.
