ECON 101 Lecture Notes - Lecture 13: Negative Number
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Estimating Demand:
● line of best fit that shows relation between price and demand
● captures the fluctuation in quantity demanded as a result in changes in prices
○ implies there is a predictable relationship between price and quantity demanded
● output we get from straightforward processes
Generic Linear Function:
● y= bo + b1x1 + b2x2 + … +bnxn
● b0 is a constant
● b1, b2…, bnare coefficients and
● x1, x2…, xn are variables
● example:
○ y=5+3x+2x2
○ if y1 = o and y2 = 0, then y = 5 : if x increases by 1 unit
○ x1 = 10 and y2 = 20, then y = 75
Simple Linear Demand Function:
● Generically: Qd = a + b P
● Where a = intercept on the Qd axis
● b = inverse of the slope
○ we believe b < 0
Price coefficient of the demakkkknd function:
● negative slope implies b<0
● b reflects the sensitivity of demand to changes in the price
○ if demand does not respond significantly to changes in price then b is very small
■ demand curve = relatively steep
○ if demand responds a lot to changes in price than b is large
■ demand curve is relatively flat
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Document Summary
Estimating demand: line of best fit that shows relation between price and demand. Captures the fluctuation in quantity demanded as a result in changes in prices implies there is a predictable relationship between price and quantity demanded. Y= bo + b1x1 + b2x2 + +bnxn. B1, b2 , bnare coefficients and x1, x2 , xn are variables. Y=5+3x+2x2 if y1 = o and y2 = 0, then y = 5 : if x increases by 1 unit. Where a = intercept on the qd axis. B reflects the sensitivity of demand to changes in the price if demand does not respond significantly to changes in price then b is very small. Demand curve = relatively steep if demand responds a lot to changes in price than b is large. Price coefficient in the demand function, b, is a large negative number. Typically the result of the availability of close substitutes for the good.