Prepare the date – Replace all bundle prices (highlighted in YELLOW) on the Analysis tab of the working sheet — Bundling – PSet1 Part 2 — by following these steps: G
- Instructions
Step 1
Prepare the date - Replace all bundle prices (highlighted in YELLOW) on the Analysis tab of the working sheet – “Bundling – PSet1 – Part 2” – by following these steps:- Go to WTP tab and look for the row with total willingness to pay for each bundle (row 103, Bundle WTP).
- Add a new sheet/tab and use Excel’s transpose function to copy/paste these values in a vertical array. Copy this array and paste ‘values only’ in a separate column. Sort this column from smallest to largest values. Copy/paste the sorted values in Analysis tab to replace the bundle prices.
- Observe the new Bundle Demand and Bundle Profit curves.
- Step 2
For students in EU: You may need to change an Excel setting so all periods '.' do not get changed to commas ','. This may be the case for both Windows (see the adjacent cell) and Macintosh users. See instructions below to avoid this problem. (https://resrequest.helpspot.com/index.php?pg=kb.page&id=277). Instructions about how to change column labels from numbers to letters: - Select the File tab in the toolbar at the top of the screen
- Click on Options in the menu
- This will pop open the Excel Options window, click on the Formulas option on the left
- Uncheck the option called "R1C1 reference style"
- Click on the OK button to save changes
- Step 3
In the Analysis tab, calculate the empty cells highlighted in YELLOW to answer the Part 2 questions below.
- Hint: Do not forget that you have other tabs to utilize for this assignment. Review the prompts and formulas available in the spreadsheet as you work through each question.
- For numeric values, you should enter up to 2 decimal places. Follow the format exactly as given. No exception will be allowed for typo mistakes.
- Using the numbers created in your “Bundling – PSet1 – Part 2” Excel spreadsheet, answer the following questions.
- What is the optimal price of a bundle? (Format as $0.00) Blank 1
- Blank 1
- What are the maximum profits of the firm? (Format as $0.00) Blank 1
- Blank 1
- How much consumer surplus do consumers keep? (Format as $0.00) Blank 1
- Blank 1
- At this price, what proportion of songs with positive value are not sold? (Format as 0.00%) Blank 1
- Blank 1
- Do any consumers' bundles include songs that they did NOT rate?
- Yes
- No
- Not enough information
- How much social value is not created? (Format as $0.00) Blank 1
- Blank 1
- Total sales have increased, but does this mean total surplus kept by consumers has also increased?
- No. An even higher proportion of consumer surplus has been transferred to the seller.
- No. Consumers keep none of their surplus.
- Yes. Because sales increase, consumer surplus also increases.
- Yes. Because the seller has captured less surplus .
- What other change should be made to the original pricing strategy if the MC of each good is MC=$0.12 rather than MC=$0?
- Return to independent good pricing
- Drop all items with WTP < $0.12 from each person’s individual bundle
- Raise bundle price by $0.12
- No change, keep as-is
- o upload your Excel Spreadsheet — "Bundling – PSet1 – Part 2". You are not required to type into the open field (skip it).
Analysis
| ITEM SALES | ITEM PRICE | PROFIT | BUN SALES | BUN PRICE | BUN PROFIT | ||||||||||||||
| 8000 | 0.10 | 800.00 | 100 | 1 | 100.00 | <———— | Bundled price must change to the sorted (and transposed) Total WTP for each Consumer from the WTP sheet | ||||||||||||
| 6000 | 0.25 | 1500.00 | 99 | 2 | 198.00 | ||||||||||||||
| 4000 | 0.50 | 2000.00 | 98 | 3 | 294.00 | ||||||||||||||
| 1700 | 0.90 | 1530.00 | 97 | 4 | 388.00 | ||||||||||||||
| 200 | 1.50 | 300.00 | 96 | 5 | 480.00 | ||||||||||||||
| 95 | 6 | 570.00 | |||||||||||||||||
| 94 | 7 | 658.00 | |||||||||||||||||
| 93 | 8 | 744.00 | |||||||||||||||||
| 92 | 9 | 828.00 | |||||||||||||||||
| 91 | 10 | 910.00 | |||||||||||||||||
| 90 | 11 | 990.00 | |||||||||||||||||
| 89 | 12 | 1068.00 | |||||||||||||||||
| 88 | 13 | 1144.00 | |||||||||||||||||
| 87 | 14 | 1218.00 | |||||||||||||||||
| 86 | 15 | 1290.00 | |||||||||||||||||
| 85 | 16 | 1360.00 | |||||||||||||||||
| 84 | 17 | 1428.00 | |||||||||||||||||
| 83 | 18 | 1494.00 | |||||||||||||||||
| 82 | 19 | 1558.00 | |||||||||||||||||
| 81 | 20 | 1620.00 | |||||||||||||||||
| 80 | 21 | 1680.00 | |||||||||||||||||
| 79 | 22 | 1738.00 | |||||||||||||||||
| 78 | 23 | 1794.00 | |||||||||||||||||
| 77 | 24 | 1848.00 | |||||||||||||||||
| Best Price: | $ 0.50 | <- Choose cell with price that maximizes profit (this will adjust item Consumer Surplus ) | 76 | 25 | 1900.00 | Best Price: | <- Choose cell with price that maximizes profit (this will adjust Bundle Consumer Surplus) | ||||||||||||
| Max Profit: | $ 2,000.00 | <- Choose cell with max profit | 75 | 26 | 1950.00 | Max Profit: | $ 2,550.00 | <- Choose cell with max profit | |||||||||||
| Total Available CS | $ 3,740.20 | Total consumer value of all songs | 74 | 27 | 1998.00 | Total Available CS | $ 3,740.20 | Total consumer value of all songs | |||||||||||
| Avg Item WTP | $ 0.47 | How much consumers are willing to pay for items on average | 73 | 28 | 2044.00 | Avg Bundle WTP | $ 37.40 | How much consumers are willing to pay for bundles on average? | |||||||||||
| Mode Item WTP | Mode of the distribution for single item WTP | 72 | 29 | 2088.00 | Total CS kept | Total (WTP – Price Paid) across all sold bundles | |||||||||||||
| Total CS kept | Total (WTP – Price Paid) across all sold songs | 71 | 30 | 2130.00 | % Unsold | Total WTP such that 0 < WTP < Price | |||||||||||||
| % Unsold | Total WTP such that 0 < WTP < Price | 70 | 31 | 2170.00 | Missing Surplus | Unsold bundles = Total Avail CS – Profit – Kept CS | |||||||||||||
| Missing Surplus | Total Value of Unsold items = Total Avail CS – Profit – CS Kept | 69 | 32 | 2208.00 | |||||||||||||||
| 68 | 33 | 2244.00 | |||||||||||||||||
| 67 | 34 | 2278.00 | |||||||||||||||||
| 66 | 35 | 2310.00 | |||||||||||||||||
| 65 | 36 | 2340.00 | |||||||||||||||||
| 64 | 37 | 2368.00 | |||||||||||||||||
| 63 | 38 | 2394.00 | |||||||||||||||||
| COMMENT: | "=COUNTIF(WTP!$B$2:$CW$101,CONCATENATE(">=",TEXT(B2,"0.00")))" | 62 | 39 | 2418.00 | |||||||||||||||
| COMMENT: | "Count each WTP item for which user value is >= price. The CONCATENATE and TEXT create a test string based on price in B2 carried to 2 digits." | 61 | 40 | 2440.00 | |||||||||||||||
| 60 | 41 | 2460.00 | COMMENT: | "=SUM(WTP!B106:CW106)/(COUNTIF(WTP!B2:CW101,">0"))" | |||||||||||||||
| COMMENT: | "=(COUNTIF(WTP!B2:CW101,"<"&B26))/(COUNTIF(WTP!B2:CW101,">0"))" | 59 | 42 | 2478.00 | COMMENT: | "Ratio of all songs in unsold bundles to count of all songs" | |||||||||||||
| COMMENT: | "Ratio of all songs less valuable than price relative to all songs more valuable than zero." | 58 | 43 | 2494.00 | |||||||||||||||
| 57 | 44 | 2508.00 | |||||||||||||||||
| 56 | 45 | 2520.00 | |||||||||||||||||
| 55 | 46 | 2530.00 | |||||||||||||||||
| 54 | 47 | 2538.00 | |||||||||||||||||
| 53 | 48 | 2544.00 | |||||||||||||||||
| 52 | 49 |