Lickety Split sells ice cream cones in a variety of flavours. The following are data for a recent week:
| Revenue (1,000 cones at $1.75 each) | $1,750 | ||||
| Cost of ingredients | $640 | ||||
| Rent | 500 | ||||
| Store attendant |
600 |
1,740 |
|||
| Pretax income |
$10 |
||||
The manager estimates that if she were to increase the price of cones from $1.75 to $1.93 each, weekly volume would be cut to 850 cones due to competition from other nearby ice cream shops.
Estimate the profit-maximizing price per cone.
(Round entry to 2 decimal places e.g. 15.25. Round percentage change to 2 decimal places, e.g. 25.25% and elasticity to 3 decimal places, e.g. 1.525 for your calculations.)
| Price per cone | $
|
Per cent change in price = ($1.93 – $1.75)/$1.75 = +10%
Per cent change in demand = (1000 – 850)/1000 = –15%
The elasticity is = ln(1 + per cent change in quantity sold)/ln(1 + per cent change in price)
= ln(1 – 0.15)/ln(1 + 0.1)
= –0.16252/0.09531
= –1.705
Variable cost = $640/1000
Profit-maximising price = [–1.705/(–1.705+1)]*$0.64 = $1.55
Lickety Split sells ice cream cones in a variety of flavours. The following are data for a recent week: Revenue (1,00...
The Vaughn House sells ice cream cones in a variety of flavours. Data for a recent week appear here: Revenue (900 cones at $1.51 each) $1,359 Cost of ingredients 513 Rent 288 Store attendant 495 Income $ 63 The Vaughn House's manager received a call from a university student club, requesting a bid on 100 cones to be picked up in three days. The cones could be produced in advance by the store attendant during slack periods and then stored...