Module 7 - Understanding How Behavioural Economics Impacts Decision Making Flashcards
Explain the premise of behavioural economics.
“Behavioural economics” is a subfield of economics that draws on the psychological, social and cultural foundations of human decision making. It uses psychological experimentation to develop theories about decision making and has identified a range of “biases” (i.e., judgments that deviate from what would be considered desirable from the perspective of accepted norms or correct in terms of formal logic) that occur as a result of the way we think and feel.
The premise of behavioural economics is that we are not always self-interested, benefits-maximizing and costs-minimizing individuals with stable preferences— Our thinking is subject to insufficient knowledge, feedback and processing capability, which often involves uncertainty and is affected by the context in which we make decisions. Most of our choices are not the result of careful deliberation. We are influenced by readily available information in memory, automatically generated affect and salient information in the environment. We also live in the moment, in that we tend to resist change and are poor predictors of future behaviour, subject to distorted memory and affected by physiological and emotional states. Finally, we are social animals with social preferences, such as those expressed in trust, reciprocity and fairness; we are susceptible to social norms and a need for self-consistency.
Behavioural economics challenges the traditional theories regarding how we perceive value and express preferences.
Outline the basic premise of rational choice theory.
Rational choice theory assumes that individuals have stable preferences and engage in maximizing behaviour. Decisions are the result of a careful weighing of costs and benefits and are informed by existing preferences. Optimal decisions are always made.
Outline the basic premise of prospect theory.
“Prospect theory” is a behavioural model that shows how we decide between alternatives that involve risk and uncertainty. It demonstrates that we think in terms of expected utility relative to a reference point (e.g., current wealth) rather than absolute outcomes. Prospect theory was developed by framing risky choices. Responses are different if choices are framed as a gain or a loss (e.g., the one-month survival rate on a surgery is 90%, or there is a 10% mortality rate in the first month). Prospect theory suggests that we are risk-averse, and since we dislike losses more than an equivalent gain, we are more willing to take risks in order to avoid a loss. Decisions are not always optimal. Willingness to take risks is influenced by the way in which choices are framed, i.e., it is context-dependent.
Explain how reference dependence influences our perceptions of value among decision choices.
“Reference dependence” is one of the fundamental principles of prospect theory and behavioural economics more generally. In prospect theory, we make decisions based on a consideration of changes in values from a reference point, rather than on the basis of absolute values. The reference point is the benchmark. When we evaluate whether or not we like something, we tend to implicitly ask ourselves, “Compared to what?” and then classify gains and losses. Reference dependence can apply to any decision involving risk and uncertainty. This psychological phenomenon is widespread.
Explain the premise of bounded rationality
“Bounded rationality” is a concept that challenges the notion of human rationality as implied by the concept “homo economicus” (i.e., a view of humans in the social sciences, particularly economics, as self-interested agents who seek optimal, utility-maximizing outcomes). The premise of bounded rationality is that decision makers work under three unavoidable constraints:
(1) Only limited, often unreliable information is available regarding possible alternatives and their consequences.
(2) The human mind has only limited capacity to evaluate and process the information that is available.
(3) Only a limited amount of time is available to make a decision.
Therefore, even those of us who intend to make rational choices are bound to make “satisficing” (rather than maximizing or optimizing) choices in complex situations.
Explain how the nature of the feedback we receive contributes to bounded rationality
Good information, experience and prompt feedback are key factors that enable individuals to make good decisions. However, good information, experience and prompt feedback are not always easy to obtain. Feedback is often limited to broad-based information. Broad-based information, which includes economic costs of the unhealthy behaviour and its potential health consequences, induces health-related behavioural change. Personal feedback on the implications of our own health choices is often delayed, and we are more likely to get feedback on previously chosen health choices than rejected ones. For example, because the effect of smoking on cells and internal organs is usually not visible, its impact is not noticeable for many years.
This type of feedback may not impact decision making. Feedback from behaviour-change programs, such as those employing smartphone stop-smoking apps that provide positive and personalized behavioural feedback (e.g., the number of cigarettes not smoked and money saved), along with the traditional information about health improvement and disease avoidance may have more impact on decision making.
Explain how loss aversion can influence behaviour.
“Loss aversion” is an important behavioural economics concept associated with prospect theory and is encapsulated in the expression “losses loom larger than gains.” It is thought that the pain of losing is psychologically about twice as powerful as the pleasure of gaining, and since we are more willing to take risks to avoid a loss, loss aversion can explain differences in risk seeking vs. risk aversion. Loss aversion has been used to explain the endowment effect bias and sunk cost fallacy bias.
“Endowment effect bias” occurs when we overvalue a good that we own, regardless of its objective market value. It is evident when we become relatively reluctant to part with a good we own for its cash equivalent or if the amount that people are willing to pay for the good is lower than what we are willing to accept when selling the good. Put more simply, we place a greater value on things once they have established ownership. This is especially true for goods that wouldn’t normally be bought or sold on the market, usually items with symbolic, experiential or emotional significance.
We commit the “sunk cost fallacy bias” when we continue a behaviour or endeavor as a result of previously invested resources (i.e., time, money or effort). This fallacy can also be viewed as bias resulting from an ongoing commitment. Commitments are often used as tools to counteract our lack of willpower and to achieve behaviour change, such as in the areas of dieting or saving—the greater the cost of breaking a commitment, the more effective it is. By setting goals, we identify a particular value as a reference point against which to measure performance. If we do not meet the goal, we are likely to experience the disappointment as a loss.
Explain how mental accounting can influence behaviour.
The overarching notion behind “mental accounting” is that we think of value in relative rather than absolute terms. For example, we derive pleasure not just from an object’s value, but also from the quality of the deal—its “transaction utility.” We often fail to fully consider opportunity costs and are susceptible to the sunk cost fallacy. We treat money differently, depending on such factors as the money’s origin and intended use, rather than thinking of it in terms of formal accounting. An important term underlying the mental accounting theory is “fungibility” (i.e., money is substitutable—Two $10 bills are viewed the same as one $20 bill). Mental accounting leads us to treat assets as less fungible than they really are. We frame or categorize them as “belonging to” current wealth, current income or future income. Marginal propensity to consume (i.e., the proportion of a rise in disposable income that is consumed) is highest for money in the current income account and lowest for money in the future income account. For example, small windfalls (e.g., a $50 lottery win) are generally treated as current income that is likely to be spent, whereas large windfalls (e.g., a $5,000 bonus at work) are considered wealth.
Outline the basic premise of the dual-system theory.
The dual-system theoretical framework explains why our judgments and decisions often do not conform to formal notions of rationality. It assumes we have two systems of thinking. System 1 consists of thinking processes that are intuitive, automatic, experience-based and relatively unconscious. System 2 is more reflective, controlled, deliberative and analytical. System 1 is also called the “automatic system,” and System 2 is also called the “deliberative system.”
Outline the most significant differences between the behavioural model of decision making and the standard economic model.
A behavioural model of decision making expands on the factors that influence decision making that are identified in the standard economic model. Two of the most significant factors not considered in the economic model are:
(1) We may process only the information that is most salient to us, filtering out some information. A piece of information is “salient” when it stands out, is novel or seems relevant against other pieces of information. Salience may lead us to miss key information and overlook critical consequences. The way in which information is presented has a great influence on whether it is absorbed and how judgments are reached. Salient cues can be provided in many ways, e.g., emphasizing negative or positive facts or rearranging the physical environment, for instance, placing water bottles close to the cashier in a grocery store.
(2) There may be a mismatch between intentions and actions. This is called the “intention-action divide.” Even if we understand the full consequences of our actions, we may make decisions that favour the present at the expense of the future, so we consistently fail to carry out plans that match our goals and fulfill our interests.
Compare the automatic and deliberative systems of thinking. Provide examples of activities that are more likely to be primarily automatic and primarily deliberative.
Automatic System/System 1
Considers what automatically comes to mind (narrow frame)
Relatively unconscious
Effortless
Associative
Intuitive
Fast
Examples of use include speaking in your mother tongue, taking the daily commute and desiring cake.
Deliberative System/System 2
Considers a broad set of relevant factors (wide frame), all choices and possible outcomes
Controlled
Effortful
Based on reasoning/analysis
Reflective
Slow
Examples of use include learning a foreign language, planning an unfamiliar journey and counting calories.
Explain why we tend to rely on the automatic vs. deliberative system of thinking to make decisions
When faced with a decision, we simplify the problem by making a representation of it in our heads and then reaching a judgment or decision based on that simplification. To do this, we can access both systems of thinking. Deliberative thinking, as when solving a difficult math problem or in trying to overcome an impulse in acts of self-control, is hard. It is cognitively taxing and can be exhausting. Our capacity to engage in it is limited. It is difficult to spend even a few minutes focusing attention in a concentrated manner. When we are under cognitive strain, it is even more difficult to access the deliberative system. Most of the time we use another mode of thinking with relatively little interference from the deliberative system—as when we detect anger in a face or make sense of speech in a fraction of a second. This is automatic thinking. Our minds are operating in automatic mode; thinking is effortless, fast and largely outside voluntary control. We evaluate alternatives quickly, based on what automatically comes to mind; rarely considering all the alternatives. Although often perfectly capable of more careful analysis, we are hardwired to use just a small part of the relevant information to reach conclusions. The mental reserves for this kind of thinking are vast.
Differentiate between framing the way choices are described and framing as part of decision making.
The term “frame” applies to descriptions of decision problems at two levels:
(1) Description and presentation: The way choices are described and presented to decision makers is called a frame. This level of framing concerns what is done to the decision maker. Different types of framing approaches have been identified (e.g., risky choice framing, attribute framing and goal framing). Choices can be worded in a way that highlights the positive or negative aspects of the same decision, leading to the “framing effect”—changes in their relative attractiveness.
(2) Interpretation and mental editing: This level of framing concerns what the decision maker does; a part of decision making resulting in interpretations that we construct for ourselves, based on the way we mentally edit and interpret the information we receive. When situations are complex, ambiguous or entail missing information, heuristics, default assumptions and other mental models that we bring to a problem influence what we pay attention to and how we interpret what they perceive.
Contrast the terms “heuristics” and “cognitive biases.”
“Heuristics” are commonly defined as cognitive shortcuts or rules of thumb we apply using our automatic thinking processes. The application of heuristics is often associated with cognitive biases. Use of heuristics simplifies decision making. Heuristics can work well or can turn into harmful cognitive biases. “Cognitive biases” are the systematic (i.e., nonrandom) errors in thinking we may be left with when we make decisions. A cognitive bias is a “systematic” error, in the sense that a judgment deviates from what would be considered desirable from the perspective of accepted norms or correct in terms of formal logic.
Affect Heuristic
This represents a reliance on good or bad feelings experienced in relation to a stimulus. Affect-based evaluations are quick, automatic and rooted in experiential thought that is activated prior to reflective judgments. They are more pronounced when we do not have the resources or time to reflect. For example, reading the words “lung cancer” usually generates an affect of dread, while reading the words “mother’s love” usually generates a feeling of affection and comfort.