The objective in this exercise is to develop a numerical price optimization calculator for a linear price-response function (or any other complicated function). Create the below table in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active formulas that calculate the required items using given parameters (b and c). Note that p* denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes the optimal revenue and m(p*) denotes the optimal profit. d(p) (2000-bp)+, incremental cost: c TL. = Table 1: Linear Price-Response Function p* d(p*) r(p*) m(p*) 10 20 30
The objective in this exercise is to develop a numerical price optimization calculator for a linear price-response function (or any other complicated function). Create the below table in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active formulas that calculate the required items using given parameters (b and c). Note that p* denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes the optimal revenue and m(p*) denotes the optimal profit. d(p) (2000-bp)+, incremental cost: c TL. = Table 1: Linear Price-Response Function p* d(p*) r(p*) m(p*) 10 20 30
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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![The objective in this exercise is to develop a numerical price optimization calculator for a
linear price-response function (or any other complicated function). Create the below table
in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active
formulas that calculate the required items using given parameters (b and c). Note that p*
denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes
the optimal revenue and m(p*) denotes the optimal profit.
d(p) = (2000 – bp)+, incremental cost: c TL.
Table 1: Linear Price-Response Function
p* d(p*) | r(p*) m(p*)
10
20
30
40
Fill in four tables in the above format corresponding to c= 0, c= 10, c = 20 and c= 30.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F3b08f291-008b-4a61-9d76-1aa59970895b%2F5f3b8e1b-bf0d-4c63-bc8e-160c347fb0ea%2Fbgx0ua_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The objective in this exercise is to develop a numerical price optimization calculator for a
linear price-response function (or any other complicated function). Create the below table
in a spreadsheet (MS Excel, Google Sheets etc.). Make sure that all cells contains active
formulas that calculate the required items using given parameters (b and c). Note that p*
denotes the optimal price, d(p*) denotes the demand at the optimal price, r(p*) denotes
the optimal revenue and m(p*) denotes the optimal profit.
d(p) = (2000 – bp)+, incremental cost: c TL.
Table 1: Linear Price-Response Function
p* d(p*) | r(p*) m(p*)
10
20
30
40
Fill in four tables in the above format corresponding to c= 0, c= 10, c = 20 and c= 30.
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