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Show how to determine elasticities from linear and log-linear demand functions.

Short Answer

Expert verified

Elasticity is measured through the change in responsiveness of one variable to another.

Step by step solution

01

Definition of Elasticity

It depicts the measurement of responsiveness of one variable to the percentage change in other variables.

02

Linear Demand Function

It represents the demand function which is the linear combination of price income and other variables.

It is written in the form,

Qxd=α0+αxPx+αyPy+αMM+αHH

Where Coefficients of price represent whether the commodities are substitutes or complements.

M = Income.

Determining elasticities from linear demand functions

Own price Elasticity:EQx,Px=αxPxQx

Cross price Elasticity: EQx,Py=αyPyQx

Income Elasticity:EQx,M=αMMQx

03

Log-Linear Demand Function

It represents the demand function which is the linear function of logarithms of prices, incomes, etc.

It is written in the form,

lnQxd=β0+βxlnPx+βylnPy+βMlnM+βHlnH

Where,β0=ln(c)

βi= arbitrary real numbers and it determines whether the commodities are substitutes or complements.

Determining elasticities from log-linear demand function

If the demand function for a certain commodity X and is log linear then, the elasticities can be written as,

Own price Elasticity:EQx,Px=βx

Cross price Elasticity:EQx,Py=βy

Income Elasticity:EQx,M=βM

These are calculated by taking the anti-logarithm of the log-linear demand function.

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Most popular questions from this chapter

You are the manager of a firm that receives revenues of \(40,000per year from productrole="math" localid="1658493889787" Xand\)90,000per year from productY. The own price elasticity of demand for productXis-1.5, and the cross-price elasticity of demand between product Y andXis-1.8. How much will your firm’s total revenues (revenues from both products) change if you increase the price of goodXby2%?

For the first time in two years, Big G (the cereal division of General Mills) raised cereal prices by 4percent. If, as a result of this price increase, the volume of all cereal sold by Big G dropped by 5percent, what can you infer about the own price elasticity of demand for Big G cereal? Can you predict whether revenues on sales of its Lucky Charms brand increased or decreased? Explain.

Explain how regression analysis may be used to estimate demand functions, and how to interpret and use the output of a regression. Try these problems: 7, 20

Revenue at a major cellular telephone manufacturer was $2.3billion for the nine months ending March 2, up 85 percent over revenues for the same period last year. Management attributes the increase in revenues to a 108%percent increase in shipments, despite a drop in the average blended selling price of its line of phones. Given this information, is it surprising that the company’s revenue increased when it decreased the average selling price of its phones? Explain

You are a manager in charge of monitoring cash flow at a company that makes photography equipment. Traditional photography equipment comprises 40percent of your revenues, which grow about 2 percent annually. You recently received a preliminary report that suggests consumers take three times more digital photographs than photos with traditional film, and that the cross-price elasticity of demand between digital and disposable cameras is -0.3. In 2012, your company earned about #600 million from sales of digital cameras and about $400 million from sales of disposable cameras. If the own price elasticity of demand for disposable cameras is -2, how will a 4 percent decrease in the price of disposable cameras affect your overall revenues from both disposable and digital camera sales?

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