Glossary
Welcome to the Glossary
(Economic) Bubble
Economic (or asset) bubbles form when prices are driven much higher than their intrinsic value (see also efficient market hypothesis). Well-known examples of bubbles include the US Dot-com stock market bubble of the late 1990s and housing bubble of the mid-2000s. According to Robert Shiller (2015), who warned of both of these events, speculative bubbles are fueled by contagious investor enthusiasm (see also herd behavior) and stories that justify price increases. Doubts about the real value of investment are overpowered by strong emotions, such as envy and excitement. Other biases that promote bubbles include overconfidence, anchoring, and representativeness, which lead investors to interpret increasing prices as a trend that will continue, causing them to chase the market (Fisher, 2014). Economic bubbles are usually followed a sudden and sharp decrease in prices, also known as a crash.
Source: Behavioral Economics
(Myopic) Procrastination
People often put off decisions, which may be due to self-control problems (leading to present bias), inertia, or the complexity of decision making (see choice overload). Various nudge tools, such as precommitment, can be used to help individuals overcome procrastination. Choice architects can also help by providing a limited time window for action (see scarcity) or a focus on satisficing (Johnson et al., 2012).
Source: Behavioral Economics
Altruism
According to neoclassical economics, rational beings do whatever they need to in order to maximize their own wealth. However, when people make sacrifices to benefit others without expecting a personal reward, they are thought to behave altruistically (Rushton, 1984). Common applications of this pro-social behavior include volunteering, philanthropy, and helping others in emergencies (Piliavin & Charng, 1990).
Source: Behavioral Economics
Ambiguity (Uncertainty) Aversion
Ambiguity aversion, or uncertainty aversion, is the tendency to favor the known over the unknown, including known risks over unknown risks. For example, when choosing between two bets, we are more likely to choose the bet for which we know the odds, even if the odds are poor, than the one for which we don’t know the odds.
Source: Behavioral Economics