In a bold attempt to test the market, Megan lowered the price of her best selling computer from $950 to $800 and her sales rose from 8 a day to 13 a day. |
(a-1) What is the point elasticity of demand for computers at the new price? Assume the demand curve is linear. |
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(a-2) Show your work for part (a-1) |
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(b-1) What is the point elasticity of demand for computers at the original price? Again, assume the demand curve is linear. |
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(b-2) Show your work for part (b-1). |
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(c) Without any data on cost, can you make a suggestion on the strategy Megan should take if these two options are the only options she is considering? Explain. Suggest a broad general rule regarding elasticity and pricing that Megan could rely on even if she doesn’t have cost data. |
Linear demand equation: Q = a - bP
When P = $950, Q = 8 and when P = $800, Q = 13.
8 = a - 950b........(1)
13 = a - 800b......(2)
(2) - (1) yields:
150b = 5
b = 5/150 = 1/30
a = 8 + 950b [From (1)] = 8 + 950 x (1/3) = (24 + 950)/3 = 974/3
Demand equation: Q = (974/3) - (P/3)
Elasticity = (dQ/dP) x (P/Q) = -(1/3) x (P/Q)
(a-1)
At new price, Elasticity = (-1/3) x (800/13) = -20.51
(b-1)
At original price, Elasticity = (-1/3) x (950/8) = -39.58
(c)
Since absolute value of elasticity is higher at original price, demand is more elastic at original price. With elastic demand, a price decrease will increase total revenue. So lowering price to $800 is a correct decision based on elasticity.
However, a broader measure of elasticity is the mid-point method, which states that
Elasticity = (Change in quantity demanded / Average quantity demanded) / (Change in price / Average price)
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