TEST 1 + Final Flashcards

(38 cards)

1
Q

What does the derivative of a function represent?

A

slope of the tangent line to f(x) at specific point

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Covariance is?

A

comovement between two variables

measures wheter they change is similar or opposite directions

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

p-value

A

describes the probability that in another similiar experiment you would observe the same outcome given H0 is true

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

descibe instrumental variable approach

A

when you have a seperate variable thats associated w/ the independent variables but not associated w/ dependent variable

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Regression Dicontinuity approach

A

approach that uses a distinct cutoff to compare otherwise similar groups to identify causal effect of treatment/intervention

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

natural experiment difference in differences approach

A

approach studies differential effect of a treatment on a “treatment group” and a “control group”

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is omitted variable bias?

A

occurs when significant independent/explanatory variables of the dependent variable are not included in the model

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

2 different types of omitted variable bias

A
  1. independent variables that are uncorrelated with our already included independent variables (effects error term)
  2. independent variables that are correlated with our already included independent variables

(beta hat will be biased)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

3 main categories of risk preference

A
  1. risk loving
  2. risk neutral
  3. risk adverse
How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

breif overview of the planet money podcast, What Causes What

A

focuses on the distinction between correlation and causation

talks about real life examples life schooling, crime, and health

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

log-level model

A

estimates a constant percentage change relationship between y & x

log-level model might be good when we have a non-linear relationship between the dependent variable and the independent variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

Constant Relative Risk Aversion(CRRA)

what is value of w for each risk preference?

A

0 < w <= 1 (risk adverse)

w=0 (risk neutral)

-1 <= w < 0 (risk loving)

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

TR maximization

what is value of ED (elasticity of demand) when TR is maximized?

A

ED= -1

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

basically what is the approach for calculating comparitive statics ?

A

calculate EP*,x and EQ*,x

wrt some variable x that will be named, like the price of the other good

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

formula for Arrow Pratt measure of risk aversion?

r(I)=

A

r(I)= - U’’(I) / U(I)

*the larger the number, the more risk adverse an individual or consumer group is relative to a group with a lower Arrow-Pratt risk aversion measure

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

What does the Arrow Pratt Measure of Risk Aversion tell us ?

A

consumers or companies risk preferences relative to eachother –> the larger the number, the more risk adverse an individual or consumer group is relative to a group with a lower Arrow-Pratt risk measure

17
Q

what is the value based approach?

A

choose inputs that maximize outputs/revenues given a set of cost constraints

18
Q

what is the cost based approach?

A

maximize profit by minimizing cost

19
Q

do the value based and cost based approach yield different profit maximizing conditons?

20
Q

what will HOD =

if there are constant returns to scale?

A

HOD=1

*if HOD=5, production will increase by 5 units for every unit of input

21
Q

income elasticity of demand

what are the elasticity values for inferior,normal, and luxury goods

A

inferior goods: Eq,i < 0 as i increases,QD decreases

normal goods: Eq,i > 0 as i increases, QD increases

luxury goods: Eq,i > 1 as i increases, QD increases at a higher rate

22
Q

cross price elasticity of demand

what are the elasticity values of goods that are complements, unrelated, and substitutes ?

A

Complements: EQc,Pk < 0 as Pk increases, QD decreases

unrelated: EQc,Pk = 0 as Pk increases, no change in Qc

substitutes: EQc,Pk > 0 as Pk increases, Qc increases

23
Q

true or false

in certain portions of the classic production function, it is possible for quanity produced to decrease as additional inputs are needed

A

true

think… w/ too many people working, output could be decreased

24
Q

market case

under market case, producers objective is to maximize profits, what is the condition at which this objective is satisfied?

A

slope of π = slope of PPF

or

MRPT= - P2 / P1

mathmatically:

max π = P1Q1 + P2Q2

s.t. Q1 = f(Q2) - PPF

25
elasticity curve scenarios should you increase or decrease price to increase revenue while: 1. operating on _inelastic_ portion of demand curve 2. operating on _elastic_ portion of demand curve
_inelastic portion of demand curve_: increase price to increase revenue _elastic portion of demand curve:_ decrease price to increase revenue
26
elasticity values define values for: 1. perfect inelastic 2. inelastic 3. perfectly elastic 4. elastic
_perfect inelastic:_ |ED| = 0 _inelastic:_ 0 \< |ED| \< 1 _perfectly elastic:_ |ED| = 1 _elastic:_ 1 \< |ED|
27
exponential demand functions for exponential demand functions, ED is \_\_\_\_\_\_\_\_\_\_
constant
28
factors the effect price ED what are the four factors that affect price ED
1. _substitutibility of other goods_ --\> greater substitutibility will make the demand curve more elastic 2. _product durability_--\> demand for more durable products is more elastic 3. _time period_--\> some demand curves are more inelastic in short run and more elastic in long run
29
supply curve shifters what are examples of supply curve shifters:
1. input prices 2. technology and production efficiency 3. size of market 4. production conditions ( eg weather)
30
IV key assumption of IV:
parrallel trends assumption, observe parallel trends between treatment/control group in the pre period
31
IV describe approach:
have seperate variable thats associated w/ independent/explanatory variable but not associated w/ dep variable
32
RD describe approach:
utilizeds distinct cut offs or thresholds that determine the assignment of treatment to determine causal effects of the intervention/treatment
33
covariance Definition:
tells us the comovement of two variables \>0 positive relationship \<0 negative relationship
34
correlation defn:
tells the magnitude and direction relationship of two variables ranges between -1 and 1
35
economic signifigance what does economic signifigance mean?
_magnitude_ eg: percent increase in ticket sales given a one unit increase in the specified independent variable
36
Poisson Model what scenario is a Poisson model useful?
when dealing with _count_ variables as our dependent variable, especially when count variable has a lot of zeros
37
log-level model what scenario is a _log-level_ model useful?
when the dependent and independent variables have a non-linear relationship \*it assumes constant percentage relationship
38
natural experiment DD model defn:
strategy used when we observe control and treatment groups in real life, and then compare to determine causal relationships between dependent and independent variable