Chapter 2 Flashcards

1
Q

Substitute good

A

Alternative products whose demand increases when the price of the focal product rises

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2
Q

Complementary goods

A

Commplements in consumption whose demand decreases when the price of the focal product rises

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3
Q

Demand function

A

A relationship between quantity demanded and all the determinants of demand

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4
Q

Demand curve

A

Relationship between quantity demanded and price, holding all other factors constant - changes in price move ALONG the demand curve

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5
Q

Marginal utility

A

The underlying driver for the demand curve, determines the maximum price consumers are willing to pay for each additional unit of consumption on the demand side of the market

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6
Q

Supply function

A

A relationship between quantity supplied and all the determinants of supply
- product price, input prices, regulatory costs, and taxes or subsidies are among the key determinants

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7
Q

Supply curve

A

A relationship between quantity supplied and product price holding all other factors constant - changes in price move along the curve.

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8
Q

Marginal cost

A

The underlying driver for the supply curve, variable cost at margin determines minimum asking price producers are willing to accept for each additional unit supplied

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9
Q

Market prices

A

Determined jointly ny market demand and supply curves

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10
Q

Marginal analysis

A

Compares the additional benefits from a decision to the additional costs incurred - concerned with the change in some performance measure associated with one unit change in a choice variable
- dY/dX

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11
Q

Net Present Value*

A

PV = present value of future returns - initial outlay
PV = present value / (1 + i)^t
i = discount rate
t = time

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12
Q

Risk

A

a decision-making situation in which there is variability in possible outcomes, and the probabilities of the outcomes can be specified by the decision maker

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13
Q

Probability

A

% chance that an outcome will occur

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14
Q

Expected value

A

A weighted average of possible outcomes, where the weights are probabilities of respective outcomes

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15
Q

Expected Value*

A

*

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16
Q

Standard deviation

A

The measure of dispersion or variation in a set of data

17
Q

Standard Deviation*

A

*

18
Q

Coefficient of variation

A

the ratio of standard deviation to the expected value, measure of relative risk

19
Q

Coefficient of Variation*

A

*

20
Q

Required Risk*

A

= Risk-free return + risk premium

21
Q

Marginal Profit*

A

*

22
Q

Net Marginal Return*

A

= MR - MP