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Economics, Microeconomics
Year 3

Income Elasticity


Assuming there are three determinants for demand of good X. There are price of good X and Y and money income. How to find out and calculate 1.INCOME ELASTICITY 2.CROSS-PRICE ELASTICITY 3.OWN PRICE ELASTICITY. Make sure have to Indicate which  determinants of demand are variable and which are fixed.

By OTA:  Ramas Ramaswami, PhD

OTA Rating:  4.8/5

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Price elastcity - 1: The demand for personal computers can be characterized by the following elasticities: Price elasticity = -5 Cross-price elasticity with software* = -4 Income elasticity =2.5 *relates a change in computer prices to changes in the quantity demanded of software Indicate whether each of the following statements is true, false, or uncertain and explain your answer. (...
If the income elasticity coefficient equals 1 - If the income elasticity coefficient equals 1, the proportion of a consumer's income spent on a given product after a change in income will be _________ the proportion of income spent on that product prior to the income change. greater than less than equal to either greater than or equal to
elasticity - The demand for Penn's Oil motor oil can be characterized by the following point elasticities: price elasticity= -2.5,cross-price elasticity w/Value Lean motor oil=1.5,income elasticity= 0.75.Indicate if statement is true or false and explain your answer. THE CROSS-PRICE ELASTICITY INDICATES THAT A 2% INCREASE IN THE PRICE OF VALUE LEAN WILL CAUSE A 3% INCREASE IN PENN'S OIL DEMAND. ...
Price Elasticity - Suppose the price of apples rises from $3.50 a pound to $4.00 and your consumption of apples drops from 30 pounds of apples a month to 20 pounds of apples. Calculate your price elasticity of demand of apples. What can you say about your price elasticity of demand of apples? Is it Elastic, Inelastic, or Unitary Elastic? Be sure to show the work you used to support your answer.
Regression Models - Develop simple linear regression models for predicting Games Won as a function of each of the independent variables in the 2000 NFL Data.xls worksheet individually. Do the assumptions of linear regression hold for your models? How do these models compare to the multiple regression models?

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