ECON 101 Lecture Notes - Lecture 13: Negative Number

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13 Jun 2018
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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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ECON 101 Full Course Notes
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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.

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