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optimization
making the best choice possible with the given information
equilibrium
when everyone is optimizing; no one would be better off with a different choice
markets have no mechanism for “fair”
empiricism
using data to figure out answers to interesting questions
testing ideas with data
doesn’t always work
budget constraint
things you can buy (or do) within your budget
money
time
what economists use to describe trade-offs
What is Economics?
The studying of human behavior
studies how agents (people or groups) make choices among scarce resources and how those choices affect society
scarce resource
things people want, where folks want more than is available
scarcity
the situation of having unlimited wants in a world of limited resources
Microeconomics
how and why individuals, firms, and governments make choices
Macroeconomics
The whole economy
What do Economists study?
anything that involves individuals making decisions
Economic analysis
helpful individual economic agents choose what is in their personal best interest
Trade-offs
decreasing your budget for one item so you can better afford another one
cost-benefit analysis
comparing a set of feasible alternatives and picking the best one
an optimization process
Labor-force participation rate
defined by the Bureau of Labor Statistics as the number of people in the labor force as a percentage of the working-age population
Opportunity Cost
a measure of what is given up when you do that activity
why does free-riding occur
people sometimes pursue their own private interests and don’t contribute voluntarily to the public interest
In equilibrium…
everybody is simultaneously optimizing and no one believes that he or she would benefit from changing their behavior
Prescriptive economics
helping economic agents make decisions that are in their best interest
ex: using a street light on the road or the use of public parks by locals
Models in Economics
all are bad, some are useful
ex: map is a model for the Earth
Causation and Correlation
Why do variables move together?
one drives the other
third variable drives both
one drives the other, but we have it flipped
they are truly unrelated, but flukes happen
Causation
One variable drives the other
Omitted variable
both variables driven by a third variable
randomized control trials
subjects that are randomly put into treatment (something happens) and control (nothing happens) groups by the researcher
Natural trials
subjects end up in treatment or control groups due to something that is not purposefully determined by the researcher
scientific method
the ongoing process that economists, other social scientists, and natural scientists use to:
develop models of the world
evaluate those models by testing them with data
checked with empirical data
empirical evidence
facts that are obtained through observation and measurement/data
hypotheses
a models predictions
median
the “middle” value of a group of numbers
calculated by ordering numbers from least to greatest and finding the value halfway through the list
mean/average
the sum of all the different values divided by the number of values
causation
when one thing directly affects another
variable
a changing factor or characteristic
correlation
two variables tend to move at the same time - as one changes, the other changes as well
positive correlation
two variables tend to move in the same direction
negative correlation
the two variables are not related
zero correlation
when two variables are not related
reverse causality
occurs when we mix up the direction of cause and effect
experiment
a controlled method of investigating causal relationships among variables
randomization
the assignments of subjects by chance, rather than by choice, to the treatment group or to the control group
natural experiment
an empirical study in which some process - out of the control of the experiment - has assigned subjects to control and treatment groups in a random or nearly random way