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Summary of Equations ei=ei[(USUS)1]+ei[(USiUSi)(USUS)]+ei[(eiei)(USiUSi)] Note: the equality is valid because the terms cancel out: ei=ei(USUS)ei+ei(USiUSi)ei(USUS)+ei(eiei)ei(USiUSi)ei=ei+ei=eiei Note: all terms in brackets represent percentage terms: [(USUS)1]=[(USUS)USUS]=[(USUSUS)] Example:

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image text in transcribed Summary of Equations ei=ei[(USUS)1]+ei[(USiUSi)(USUS)]+ei[(eiei)(USiUSi)] Note: the equality is valid because the terms cancel out: ei=ei(USUS)ei+ei(USiUSi)ei(USUS)+ei(eiei)ei(USiUSi)ei=ei+ei=eiei Note: all terms in brackets represent percentage terms: [(USUS)1]=[(USUS)USUS]=[(USUSUS)] Example: if US employment changed from 200 to 300 , then percentage change would be: [(200300200)]=0.5=105=10050=50% Back to the decomposition: ei=ei[(USUS)1]+ei[(USiUSi1)(USUS1)]+ei[(eiei1)(USiUSi1)] So all terms in brackets represent percentage terms or differences between two percentage terms Consider the following data. The following questions refer to a Shift and Share Analysis of the Agricultural Sector of ECO 610 City. The National growth component, also known as the Share component, is: Question 2 1p The Industry component, also known as the Shift - mixed component, is: Question 3 1p The Regional component, also known as Shift - competitive component, is

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