ppts Flashcards
what is decision making? (4 components)
-Choosing between alternatives/options
-In order to take (no) action
-to reach a certain objective
-in the face of a problem or opportunity
what is a programmed decision
mental shortcut established in advance to cope with recurrring problems/opportunities. Routines, habits, patterns.
decision making challenges:
-unclear information
-cognitive limitations to process information
-focussing on certain aspects of information
-looking for patterns and making connections
types of decision making
individual solo, individual dependent and group
what is the difference between the types of decision making
solo: individual choice. Dependent: Individual choice influenced by others. Group: choice made together with others.
what are economics?
the study on how people (individuals) choose to use their scarce resources in an attempt to satisfy their unlimited demands (what choices they make)
how do people choose according to economics?
People choose that what is the best in their own interest
They weight the pros and cons (benefits and cost) and determine which choice is best for them
most basic, orthodox rational choice:
Weighing monetary costs and benefits, choosing that option with the highest (best) financial outcome/ utility
thin model of rational choice
applying the most basic idea of rational choice to all realities
ideas of thick rational choice models
1.ignoring
2. monetize non-monetary values
3. utility
4. Individual weighing process/utility
what is utility
a term used to determine the worth or value of a good or service: the total satisfaction or benefit derived from consuming a good or service
* Utility is the idea of quantitively measuring economic value
ordinal utility
the concept of one good being more useful or desirable than another (qualitative, ranks)
what is a preference
A preference is a technical term usually used in relation to choosing between alternatives; someone has a preference for A over B if they would choose A rather than B
which approaches fall under rational choice?
any of a number of individual approaches that use the rationality assumption
difference thin and thick RC
thin: only monetary costs and benefits, all info available, focus on individual and no social aspects.
thick: any costs and benefits, not all info available, social aspects included.
what is statisficing?
making a choice without being able to know all information within the time available. Statisficers pick an options that is good enough for them. Opposite are maximisers who always want the best option.
are the basic assumptions different for thin and thick RC models?
no
difference between strictly and weakly preferred
strictly: A is better than B, and B is not better than A.
weakly: A is at least as good as B
when is a preference complete
if you can say what the relationship between the options is (A≥B, B≥A, A>B, B>A or A≡B)
what is an incomplete preference and how to solve it?
If you do not know what the relation is between the options (which you prefer over which). Can be solved by experiences, trusting other or relating to another experience.
what is a transitive preference
if it holds for all elements A, B, and C of its domain that if A>B and B>C, then A>C.
when is there no transitivity?
with insufficient discrimination (example of a 100 coffee cups where you add one extra grain in each cup, so you don’t taste the difference between cup 1 and 2, but it’s not transitive because there is a difference between 1 and 100)
basic assumptions of RC
-People have preferences
-These preferences are complete
-These preferences are transitive
when is an alternative uniquely best?
only if it is better than all other alternatives. if there is one you choose it.
when is an alternative among the best?
if it is at least as good as all other alternatives. If there are alternatives that are among the best, you pick one of them
ordinal preference
A > B, but A is not x times better than B
numerical preference
A is x times better than B
why is the thin RC model valuable?
you can predict what will happen. You can generate clear hypotheses from clear assumptions.
which models falls under individual solo DM
(bounded) RC, Behavioral economics, sensemaking
which models fall under individual dependent DM
Sensemaking, game theory
which models fall under group DM
collective action, political decision making
what does a high discount rate mean for how you value the future?
the higher the discount rate, the more you value the present
what are two dimensions of risk?
the likelihood of the occurrence of a bad event, and the consequence of it.
what is probability
a way of expressing knowledge or belief that an event will occur or has occurred.
what is the difference between risk and uncertainty (according to Keynes and Knight)
with risk, probabilitites are known and available to humans. with uncertainty probabilites are unknown and hence unavailable.
how to estimate probabilities
use historical data to assess reasonable probabilities, and use a model (that you know is inadequete but may be good enough for the purpose)
cromwell’s rule
basically nothing 100% probable. you should never assigns values of 1 or 0 to probability, unless you can demonstrate by absolute logic for it to be true/false
what is bayesian probability/ subjective probability
interpreting the probability as representing belief or knowledge, instead of a frequency-based interpretation
what is a risk intelligence quotient
a measure of a persons ability to estimate probabilities acurately
three classes of decision theory
decision under certainty, uncertainty and risk.
decision under certainty
assumes we know precisely what the future states of nature will occur at the time we choose the action. If you know state of nature A will occur, then you can know you have to take action B to maximise utility
decisions under uncertainty
when you don’t have any idea which future will occur at the time you make the decision.
decisions under risk
when you’re able to estimate or assign occurrence probabilities to each state of nature. Then you can use calculations to help guide the decision.
states of nature
packages of future factors affecting outcomes (for example, many seeds present, few seeds present)