Prospect Theory and Mental Accounting Flashcards
What is Expected Utility Theory (EUT)?
- explains how people choose between risky options by considering both the possible outcomes and the probabilities of the outcomes
It’s the standard theory of decision making under risk in economics.
It is often referred to as: neoclassical model of decision making or rational choice theory.
What is an advantage of prospect theory?
It is very general - it can be applied to very different situations
What is Utility in EUT?
a subjective value an individual derives from an alternative
Criticism of Expected Utility Theory
- There are many empirical phenomena that are inconsistent with the theory, e.g., sellers value their goods and assets higher than buyers (endowment effect), negative intertemporal elasticity of labour supply (wages increases, labour supplied decreases - inexperienced taxi drivers with a desired sum earned may decrease hours when wage increases, wage increase means they will make the desired amount in fewer hours)
- It is not psychologically plausible: e.g. it does not capture the phenomenon of loss aversion, EUT ignores framing effects: how a decision situation is presented may matter.
What is Prospect Theory and its key features?
- Outcomes expressed as positive or negative deviations (gains or losses) from a neutral reference outcome, which is assigned a value of zero
- Value function as alternative to utility function
- The value function has a kink at the reference point and is steeper to the left than to the right of the origin - “losses loom larger than gains”
- while utility function ranges over total endowments, value function ranges over changes in endowment to capture reference dependence
- possible sources of references points include: previous experience, expectations, status of others
Two phases in choice process:
Phase 1: Acts, outcomes, and contingencies are framed
Phase 2: Evaluation
What at the key features of the value function:
- S-shaped: concave above reference point, convex below: risk averse in gains region, risk loving in losses region
- Diminishing marginal sensitivity in both gains and losses regions: difference in subjective values between
- Losses loom larger than gains: response to losses more extreme than responses to gains (steeper in losses domain)
What are the differences between EUT and PT?
EUT - explains how people choose between risky options by considering both the possible outcomes and the probabilities of the outcomes
It’s the standard theory of decision making under risk in economics.
Prosepct theory is outcomes exressed as positive or negative deviations (gains or losses) from the natural reference outcome that is usually assinged a value of zero.
In PT, no probabilities are used: instead, the value of each outcome is multiplied by a decision weight, decision weights are not probabilities (do not obey the probability axioms)
- Decision weights are inferred from choices between prospects
- The usual assumption is that low probabilities are overweighted, whereas high probabilities are underweighted
Dynamic models of labour supply predict “rational” workers should:
work more when wages are high and consume more leisure when wages are low
What is wage elasticity of labour supply
a change in amount of labour supplied due to a % change in wages
What is Mental Accounting?
Mental Accounting is the set of cognitive operations used by individuals and households to code, categorize and evaluate financial activities - Thaler
According to Thaler (1999) mental accounting may be helpful to:
- facilitate comparison on the trade-offs of different uses of funds
- as a self-control device (e.g., saving for child’s college fund)
Why does bundling matter in mental accounting and prospect theory?
due to the fact that the value function is concave in the domain of gains and convex in the domain of losses
What type of gain is valued more?
Segregated gains are valued more
Implications of Prospect Theory to how joint outcomes are evaluated; according to the Hedonic Editing Hypothesis it would be best to:
- segregate gains (because the gain function is concave due to diminishing marginal sensitivity)
- integrate losses (because the loss function is convex due to diminishing marginal sensitivity) - does not seem to be supported empirically
- integrate smaller losses with larger gains (to offset loss-aversion)
- segregate larger losses from smaller gains (utility of a small gain can exceed the utility of slightly reducing a large loss, again due to diminishing marginal sensitivity)