You are an art agent auctioning off a classic 1926 flower painting by Atlanta O'Coffee at a reputable auction house. The current auction estimate for your painting is $1,200,000. The seller's reservation price is $1,000,000, which is the price below which the painting would not be sold (i.e., the seller would refuse to sell below $1,000,000). The seller's reservation price is not revealed to the potential buyers. Each bidder submits a single sealed bid for the painting, which means they submit their bid without any knowledge of the bids submitted by the other bidders. The winner, if the reservation price is met, is the bidder submitting the highest bid. The price paid, if the reservation price is met, is the highest bid. If the reservation price is not met (i.e., all bids are below the reservation price), there is no sale. The actual selling price will depend on two factors: 1. The number of bidders that participate in the auction (more is better!) 2. The individual bids submitted by these bidders Many Atlanta O'Coffee paintings have been sold by the auction house, and based on this data, you have determined that the number of bidders participating in the auction has a distribution described as follows: Number of Bidders Probability 1 .1 2 .25 3 .40 4 .15 5 .10 Every bidder that participates knows the current auction estimate ($1,200,000), but they submit a bid that is based on what they think it is worth. The bid each one submits can be thought of as a multiplicative factor of the auction estimate. A factor of 1.0 means the bidder thinks the auction estimate is spot on. A factor of .9 means the bidder thinks it is worth 10% less (.9 x $1,200,000 = $1,080,000); a factor of 1.1 means the bidder thinks it is worth 10% more (1.1 x 1,200,000 = $1,320,000), and so on and so on. Analysis of previous Atlanta O'Coffee auction bids shows that the multiplicative factor an individual bidder applies to the auction estimate comes from a normal distribution with a mean of 1.0 and a standard deviation of 0.25. Using 10,000 trials, answer the following questions (in your booklet): A. If the painting sells (i.e., exclude "no sales"), what is the average selling price? B. What is the probability the painting does not sell (i.e., the reservation price is not met)? C. What is the probability the painting sells for more than $1,102,500 (include "no sales" in your analysis)? Hint: First create five bids, then decide how many of them (1, 2, 3, 4, or 5) are actual bids based on the number of bidders participating. Determine the winning bid based on the actual bids.
You are an art agent auctioning off a classic 1926 flower painting by Atlanta O'Coffee at a reputable auction house. The current auction estimate for your painting is $1,200,000. The seller's reservation price is $1,000,000, which is the price below which the painting would not be sold (i.e., the seller would refuse to sell below $1,000,000). The seller's reservation price is not revealed to the potential buyers. Each bidder submits a single sealed bid for the painting, which means they submit their bid without any knowledge of the bids submitted by the other bidders. The winner, if the reservation price is met, is the bidder submitting the highest bid. The price paid, if the reservation price is met, is the highest bid. If the reservation price is not met (i.e., all bids are below the reservation price), there is no sale. The actual selling price will depend on two factors: 1. The number of bidders that participate in the auction (more is better!) 2. The individual bids submitted by these bidders Many Atlanta O'Coffee paintings have been sold by the auction house, and based on this data, you have determined that the number of bidders participating in the auction has a distribution described as follows: Number of Bidders Probability 1 .1 2 .25 3 .40 4 .15 5 .10 Every bidder that participates knows the current auction estimate ($1,200,000), but they submit a bid that is based on what they think it is worth. The bid each one submits can be thought of as a multiplicative factor of the auction estimate. A factor of 1.0 means the bidder thinks the auction estimate is spot on. A factor of .9 means the bidder thinks it is worth 10% less (.9 x $1,200,000 = $1,080,000); a factor of 1.1 means the bidder thinks it is worth 10% more (1.1 x 1,200,000 = $1,320,000), and so on and so on. Analysis of previous Atlanta O'Coffee auction bids shows that the multiplicative factor an individual bidder applies to the auction estimate comes from a normal distribution with a mean of 1.0 and a standard deviation of 0.25. Using 10,000 trials, answer the following questions (in your booklet): A. If the painting sells (i.e., exclude "no sales"), what is the average selling price? B. What is the probability the painting does not sell (i.e., the reservation price is not met)? C. What is the probability the painting sells for more than $1,102,500 (include "no sales" in your analysis)? Hint: First create five bids, then decide how many of them (1, 2, 3, 4, or 5) are actual bids based on the number of bidders participating. Determine the winning bid based on the actual bids.
Managerial Economics: A Problem Solving Approach
5th Edition
ISBN:9781337106665
Author:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Chapter18: Auctions
Section: Chapter Questions
Problem 1MC
Related questions
Question
Not use ai please

Transcribed Image Text:You are an art agent auctioning off a classic 1926 flower painting by Atlanta O'Coffee
at a reputable auction house. The current auction estimate for your painting is
$1,200,000. The seller's reservation price is $1,000,000, which is the price below
which the painting would not be sold (i.e., the seller would refuse to sell below
$1,000,000). The seller's reservation price is not revealed to the potential buyers.
Each bidder submits a single sealed bid for the painting, which means they submit
their bid without any knowledge of the bids submitted by the other bidders. The
winner, if the reservation price is met, is the bidder submitting the highest bid. The
price paid, if the reservation price is met, is the highest bid. If the reservation price is
not met (i.e., all bids are below the reservation price), there is no sale.
The actual selling price will depend on two factors:
1. The number of bidders that participate in the auction (more is better!)
2. The individual bids submitted by these bidders
Many Atlanta O'Coffee paintings have been sold by the auction house, and based on
this data, you have determined that the number of bidders participating in the
auction has a distribution described as follows:
Number of Bidders
Probability
1
.1
2
.25
3
.40
4
.15
5
.10

Transcribed Image Text:Every bidder that participates knows the current auction estimate ($1,200,000), but
they submit a bid that is based on what they think it is worth. The bid each one
submits can be thought of as a multiplicative factor of the auction estimate. A factor
of 1.0 means the bidder thinks the auction estimate is spot on. A factor of .9 means
the bidder thinks it is worth 10% less (.9 x $1,200,000 = $1,080,000); a factor of 1.1
means the bidder thinks it is worth 10% more (1.1 x 1,200,000 = $1,320,000), and so
on and so on. Analysis of previous Atlanta O'Coffee auction bids shows that the
multiplicative factor an individual bidder applies to the auction estimate comes from
a normal distribution with a mean of 1.0 and a standard deviation of 0.25.
Using 10,000 trials, answer the following questions (in your booklet):
A. If the painting sells (i.e., exclude "no sales"), what is the average selling price?
B. What is the probability the painting does not sell (i.e., the reservation price is not
met)?
C. What is the probability the painting sells for more than $1,102,500 (include "no
sales" in your analysis)?
Hint: First create five bids, then decide how many of them (1, 2, 3, 4, or 5) are actual
bids based on the number of bidders participating. Determine the winning bid based
on the actual bids.
Expert Solution

This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps with 2 images

Recommended textbooks for you

Managerial Economics: A Problem Solving Approach
Economics
ISBN:
9781337106665
Author:
Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:
Cengage Learning

Managerial Economics: Applications, Strategies an…
Economics
ISBN:
9781305506381
Author:
James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:
Cengage Learning

Managerial Economics: A Problem Solving Approach
Economics
ISBN:
9781337106665
Author:
Luke M. Froeb, Brian T. McCann, Michael R. Ward, Mike Shor
Publisher:
Cengage Learning

Managerial Economics: Applications, Strategies an…
Economics
ISBN:
9781305506381
Author:
James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:
Cengage Learning

Microeconomics: Principles & Policy
Economics
ISBN:
9781337794992
Author:
William J. Baumol, Alan S. Blinder, John L. Solow
Publisher:
Cengage Learning

Principles of Microeconomics
Economics
ISBN:
9781305156050
Author:
N. Gregory Mankiw
Publisher:
Cengage Learning

Economics (MindTap Course List)
Economics
ISBN:
9781337617383
Author:
Roger A. Arnold
Publisher:
Cengage Learning