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Licemer1 [7]
3 years ago
10

A movie theater company obtains the following estimated elasticity of demand.

Business
1 answer:
Anarel [89]3 years ago
4 0

Answer:

Explanation:

Given:

Short-run price elasticity = - 0.85

Long-run price elasticity = - 3.2

Cross-price elasticity = - 0.26

Income elasticity = 0.75

a. If the theater raises movie ticket prices by 10 percent it means that percentage of price change is 10%.

Elasticity = \frac{Percentage change in Quantity demanded}{Percentage change in price} \\\\-0.85 = \frac{Percent change in Quantity demanded\\}{10} \\\\Percent change in Quantity demanded = -0.85*10\\                                                                  \\  = -8.5

Thus, quantity demanded falls by 8.5 percent.

b. Short-run price elasticity is different from long-run elasticity due to the time horizon. When individuals have more time they can switch to cheaper alternatives. While, it takes time to adjust in the short-run as the time horizon is not much. So short-run elasticity is less elastic than in the long-run.

c.

In the long-run demand for movie tickets is very elastic. So as price rises in the long-run, quantity demanded falls by a greater proportion. This will cause total revenue to fall in the long-run.

d. Normal goods are goods which have a positive income elasticity. This means for normal goods demand increases as income increases. But in case of inferior goods, demand is inversely related to income. As income rises demand for inferior goods decreases.

Since in this case, income elasticity is 0.75 (positive) it can be concluded that movie tickets are normal goods.

e. Good X is the related good to movie tickets. As cross price elasticity is -0.26 it means that as price of movie tickets rises by 1 percent demand for good X will fall by 0.26 percent.

Thus, as demand for good X and price of movie tickets are inversely related to each other it can be said that they are complementary goods.

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Answer:

Unilateral contract

Explanation:

According to the given statement in the question, this is a type of a unilateral contract.

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The car dealer is promising the salesperson to give bonus upon the selling of 10 cars by the salesperson.

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In economics, the determinant of demand that this scenario fall under , when you go for chips ahoy because Oreo cookies are now extremely expensive is Change in Price of Substitute Good.

What is Substitute Good?

A substitute good  can be regarded as product or service that  is been used as alternative for other goods.

It should be When the price of a substitute good rise, then demand for the other substitute as well will rise.

  • This is referred to as  <u>positive cross price elasticity.</u>

Learn more about substitute good at:

brainly.com/question/10504938

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2 years ago
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Answer:

A) mortgage pipeline.

B) mortgage

Explanation:

Mortgage banks typically will attempt to sell loans as quickly as possible after they are originated by either issuing mortgage securities or selling the loan to an intermediary that will subsequently sell the loan in the secondary market. The period between loan commitment and loan sale is referred to as the mortgage pipeline.

A mortgage pipeline refers to mortgage loans that are locked-in with a mortgage originator by borrowers, mortgage brokers, or other lenders. <u>A loan stays in an originator's pipeline from the time it is locked until it falls out, is sold</u> into the secondary mortgage market, or is put into the originator's loan portfolio.

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In order to make a decision utilizing a decision tree, you must:___________.a. start at the most distant point in time and work
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Answer:

In order to make a decision utilizing a decision tree, you must:___________

b. begin at Time 0 and work towards the most distant point in time.

Explanation:

Decision trees are built up by starting from the present with the overarching objective (goal) in mind.  Then, one classifies the information along various branches and leaf nodes, with each branch representing the outcome of an alternative route or a question answered based on the likelihood of the event happening.  Each leaf node represents a class label (decision taken after computing all attributes). This structure can be used to predict likely values of data attributes.

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