Part 3 - 22 - intro Flashcards
what are ‘anomalies’
observed behaviours that violate an orthodox economic view of what is rational
- present bias
- overweighting/underweighting
what is consumer sovereignty
consumers make the best choices for themselves
- gov cant make better choices for them
what is pareto imporvement
what is pareto efficiency
improvement on outcome Y = at least one person is better off without hurting anyone
pareto efficient = no other outcome that can pareto improve it
difference between internal and external validity
internal - reliable conclusions about an effect that did operate in the experiment
external - reliable conclusions about an effect that would operate outside the experiment
what is the point of investigating whether experience effects external validity
- concerns that subjects are inexperienced
- will effect the external validity of anomalies research
- if they act differently in lab to what they would outside
how are subjects inexperienced
- facing unfamiliar tasks
- limited time to reflect
Plott 1996
how do they defend standard theory
preference discovery
what was Plott 1996 argument
choices = 3 stage process:
1. inexperienced - impulsive behaviour
2. experienced
3. converged
- discovered preferences - revealed at the end of the 3 stage process
what was Binmores 1999
stance
standard theory can only apply in lab if
- time for learning
- simple problems
- adequate incentives
what do plott and binmore predict about experinece and anomalies
the more experienced subjects, the less prevalent anomalies
Esponda et al 2024
aim
what is the effect of experience on judgement of probability
- when more experienced
- will they judge probability more accurately
- tests peoples use of Bayes rules
Esponda
hypotheses
what did they predict would happen
- many subjects give the wrong answer first time - dont use Bayes rule
- want to test if people will keep getting it wrong after experience
Esponda et al 2024 design
- subjects face 200 rounds
- each round:
- assigned a project that has probability of being a success or failure, receives signal of the quality with probability of 0.8 of being correct
- they give the probabilities they assign to project being a success if test is positive/negative
- compare to Bayesian answers
- primitive group (have all of the info needed to compute Bayesian answer)
- no primitive - dont
Esponda results
- primitives
- they both start off very far from Bayesian
- results converge but flatten off
- non-primitives more accurate after 200 rounds
- primitives misusing the info given to them
Esponda
conclusion
evidenece that experience can make beliefs converge to Bayesian answers over time
- not perfectly