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    Task 4: Constructing an unconstrained multiplier model

    2007 SAM for Ghana with 3 sectors

    Units: Millions of new Ghanaian Cedis (current prices)aagr aind asrv cagr cind csrv lab cap

    aagr 7,070

    aind 9,084

    asrv 8,842

    cagr 606 831 126

    cind 599 3,423 1,889

    csrv 1,313 880 2,361

    lab 4,215 2,254 3,248

    cap 336 1,696 1,218

    hrur 5,054 1,248

    hurb 4,663 2,002

    gov 160 1,869 343

    s-i

    row 575 7,450 415

    tot 7,070 9,084 8,842 7,805 18,403 9,599 9,717 3,250

    PART 1: Calculating the inverted coefficient matrix

    Coefficient matrix (M)

    Calculate coefficients by dividing each column through by its column total (see Table 4).

    aagr aind asrv cagr cind csrv lab cap

    aagr 0.91

    aind 0.49

    asrv 0.92

    cagr 0.09 0.09 0.01

    cind 0.08 0.38 0.21

    csrv 0.19 0.10 0.27

    lab 0.60 0.25 0.37

    cap 0.05 0.19 0.14

    hrur 0.52 0.38hurb 0.48 0.62

    gov 0.02 0.10 0.04

    s-i

    row 0.07 0.40 0.04

    tot 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

    Indentity matrix (I)

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    Create an identity matrix by placing the value 1 in the diagonal cell entries

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.00

    aind 1.00

    asrv 1.00

    cagr 1.00

    cind 1.00csrv 1.00

    lab 1.00

    cap 1.00

    hrur

    hurb

    gov

    s-i

    row

    Intermediate step (I-M)

    Subtract the matrix from the identity matrix

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.00 -0.91

    aind 1.00 -0.49

    asrv 1.00 -0.92

    cagr -0.09 -0.09 -0.01 1.00

    cind -0.08 -0.38 -0.21 1.00

    csrv -0.19 -0.10 -0.27 1.00

    lab -0.60 -0.25 -0.37 1.00

    cap -0.05 -0.19 -0.14 1.00hrur -0.52 -0.38

    hurb -0.48 -0.62

    gov -0.02 -0.10 -0.04

    s-i

    row -0.07 -0.40 -0.04

    -0.04

    Inverted coefficient matrix (I-M)-1

    Invert the above matrix using the Excel "MINVERSE" formula.

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.54 0.47 0.43 1.39 0.23 0.39 0.51 0.48

    aind 0.49 1.58 0.53 0.44 0.78 0.49 0.46 0.45

    asrv 0.64 0.49 1.70 0.58 0.24 1.56 0.44 0.44

    cagr 0.59 0.52 0.47 1.54 0.25 0.43 0.56 0.53

    cind 0.99 1.18 1.08 0.90 1.58 1.00 0.93 0.92

    csrv 0.70 0.53 0.76 0.63 0.26 1.70 0.48 0.48

    lab 1.27 0.85 1.01 1.15 0.42 0.93 1.58 0.56

    cap 0.25 0.38 0.35 0.23 0.19 0.33 0.17 1.17

    hrur 0.76 0.59 0.66 0.69 0.29 0.61 0.88 0.74

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    hurb 0.77 0.64 0.70 0.69 0.32 0.65 0.86 0.99

    gov 0.22 0.22 0.22 0.22 0.21 0.24 0.21 0.22

    s-i 0.31 0.25 0.27 0.28 0.12 0.25 0.35 0.35

    row 0.48 0.54 0.51 0.50 0.67 0.51 0.44 0.43

    PART 2: The exgenous shock vector

    Exogenous demand shock matrix (E)

    cagr cind csrv Hint

    aagr This matrix shows the size of the exogenous d

    aind It is initially set equal to one, which means a 1

    asrv You can change the size of the shock to any n

    cagr 1.00

    cind 1.00 Remember the unit of the shock and hence th

    csrv 1.00 (i.e., millions of Ghanaian Cedi at 2007 prices)

    lab

    cap It is necessary for matrix calculations that all

    hrur Note though that we are hiding all zero entrie

    hurb

    gov

    s-i

    row

    PART 3: The multiplier effects

    Multiplier effects Z = (I-M)-1 E

    Use the Excel "MMULT" formula to calculate the multiplier effects

    cagr cind csrv

    aagr 1.39 0.23 0.39 Output multipliers

    aind 0.44 0.78 0.49

    asrv 0.58 0.24 1.56

    cagr 1.54 0.25 0.43

    cind 0.90 1.58 1.00

    csrv 0.63 0.26 1.70

    lab 1.15 0.42 0.93 GDP or value-added multipliers

    cap 0.23 0.19 0.33hrur 0.69 0.29 0.61 Income multipliers

    hurb 0.69 0.32 0.65

    gov 0.22 0.21 0.24

    s-i 0.28 0.12 0.25 0.25

    row 0.50 0.67 0.51

    Total multiplier effects by type of multiplier

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    Output 2.42 1.25 2.45

    GDP 1.38 0.61 1.26 Note that income and GDP multipliers should

    Income 1.38 0.61 1.26 factor taxes in the Ghana SAM (i.e., all value-a

    0.61

    Q1: Which sector has the largest output multiplier?

    A1: Services

    Q2: Which sector has the largest income multiplier?

    A2: Agriculture

    Q3: What do you think is the main reason why the multipliers for industry so much lower than f

    A3: There are large import-leakages for the industry, since so much of industrial demand is supp

    Q4: What is the output multiplier effect of a by 35 million cedi increase in agricultural export de

    A4: 84.62 million cedi

    (to answer this question you need to replace the "1" in the agricultural column of the exoge

    with a "35" - you can then read the total output multiplier from the table above).

    Q5: Which sector generates the largest income multipler effects for urban households?

    A5: Services

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    hrur hurb gov s-i row tot SAM legend

    7,070 aagr Activity - a

    9,084 aind Activity - in

    8,842 asrv Activity - se

    2,453 1,773 2,016 7,805 cagr Commodit

    2,553 3,238 4,680 2,020 18,403 cind Commodit

    705 1,421 1,805 1,115 9,599 csrv Commodit

    9,717 lab Factor - lab

    3,250 cap Factor - ca

    547 409 7,257 hrur Household

    840 1,592 9,097 hurb Household

    940 739 4,052 gov Governme

    1,547 1,725 860 548 4,680 s-i Saving/inve

    8,439 row Rest of the

    7,257 9,097 4,052 4,680 8,439 tot Column an

    hrur hurb gov s-i row Hint

    The final three columns in the coe

    This means that we must leave th

    round-by-round indirect linkage ef

    0.34 0.19

    0.35 0.36

    0.10 0.16

    0.10

    0.21 0.19

    1.00 1.00

    1.00 0.00

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    hrur hurb gov s-i row

    1.00

    1.00

    1.00

    1.00

    1.00

    1.00

    hrur hurb gov s-i row Hint

    You must use Excel matrix algebra

    To do this, do the following four st

    -0.34 -0.19 1. Highlight the block where you w

    -0.35 -0.36 2. Then types equals (=) followed

    -0.10 -0.16 3. Then subtract (-) the coordinate

    4. Finally, hold down the control (

    1.00 Now if you move your cursor over

    1.00 has "curly" parentheses or bracket

    -0.10 1.00 a formula is matrix algebra.

    -0.21 -0.19 1.00

    1.00

    1.00

    hrur hurb gov s-i row

    0.59 0.41

    0.47 0.44

    0.43 0.44

    0.65 0.46

    0.96 0.89

    0.47 0.48

    0.63 0.52

    0.18 0.16

    1.39 0.33

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    0.41 1.35

    0.17 0.26 1.00

    0.37 0.33 1.00

    0.46 0.42 1.00

    0.42 1.00

    emand shock for each commodity.

    million cedi increase in demand for each commodity.

    mber.

    e multiplier is in value terms

    .

    f the cell entries have a value, even if is zero.

    s (see the Tools-Options drop-down menu).

  • 7/30/2019 Task 4 Solution

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    be the same since there are no

    dded is paid to households).

    r other sectors?

    lied by imported goods

    and?

    nous shock matrix

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    riculture

    dustry

    rvices

    - agriculture

    - industry

    - services

    or

    ital

    - rural

    - urban

    t

    stment

    world

    row total

    ficient matrix are exogenous accounts in our model.

    se accounts as zero, since they do not generate

    fects. All other columns should sum to one.

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    commands for this exercise.

    eps when entering the formula:

    ant your answer to be (B67:N79).

    y the coordinates for the entire identity matrix (B49:N61).

    s for the entire coefficient matrix (B30:N42) (leave out the total row)

    TRL) and SHIFT keys, and then press enter

    the matrix to the left you should see that your formula

    s around it (i.e., { and }). This is how Excel shows that

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    Task 4: Constructing an unconstrained multiplier model

    2007 SAM for Ghana with 3 sectors

    Units: Millions of new Ghanaian Cedis (current prices)aagr aind asrv cagr cind csrv lab cap

    aagr 7,070

    aind 9,084

    asrv 8,842

    cagr 606 831 126

    cind 599 3,423 1,889

    csrv 1,313 880 2,361

    lab 4,215 2,254 3,248

    cap 336 1,696 1,218

    hrur 5,054 1,248

    hurb 4,663 2,002

    gov 160 1,869 343

    s-i

    row 575 7,450 415

    tot 7,070 9,084 8,842 7,805 18,403 9,599 9,717 3,250

    PART 1: Calculating the inverted coefficient matrix

    Coefficient matrix (M)

    Calculate coefficients by dividing each column through by its column total (see Figure 5).

    aagr aind asrv cagr cind csrv lab cap

    aagr 0.91

    aind 0.49

    asrv 0.92

    cagr 0.09 0.09 0.01

    cind 0.08 0.38 0.21

    csrv 0.19 0.10 0.27

    lab 0.60 0.25 0.37

    cap 0.05 0.19 0.14

    hrur 0.52 0.38hurb 0.48 0.62

    gov 0.02 0.10 0.04

    s-i

    row 0.07 0.40 0.04

    tot 1.00 1.00 1.00 1.00 1.00 1.00 1.00 1.00

    Indentity matrix (I)

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    Create an identity matrix by placing the value 1 in the diagonal cell entries

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.00

    aind 1.00

    asrv 1.00

    cagr 1.00

    cind 1.00csrv 1.00

    lab 1.00

    cap 1.00

    hrur

    hurb

    gov

    s-i

    row

    Intermediate step (I-M)

    Subtract the matrix from the identity matrix

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.00 -0.91

    aind 1.00 -0.49

    asrv 1.00 -0.92

    cagr -0.09 -0.09 -0.01 1.00

    cind -0.08 -0.38 -0.21 1.00

    csrv -0.19 -0.10 -0.27 1.00

    lab -0.60 -0.25 -0.37 1.00

    cap -0.05 -0.19 -0.14 1.00hrur -0.52 -0.38

    hurb -0.48 -0.62

    gov -0.02 -0.10 -0.04

    s-i

    row -0.07 -0.40 -0.04

    Inverted coefficient matrix (I-M)-1

    Invert the above matrix using the Excel "MINVERSE" formula.

    aagr aind asrv cagr cind csrv lab cap

    aagr 1.54 0.47 0.43 1.39 0.23 0.39 0.51 0.48

    aind 0.49 1.58 0.53 0.44 0.78 0.49 0.46 0.45

    asrv 0.64 0.49 1.70 0.58 0.24 1.56 0.44 0.44

    cagr 0.59 0.52 0.47 1.54 0.25 0.43 0.56 0.53

    cind 0.99 1.18 1.08 0.90 1.58 1.00 0.93 0.92

    csrv 0.70 0.53 0.76 0.63 0.26 1.70 0.48 0.48

    lab 1.27 0.85 1.01 1.15 0.42 0.93 1.58 0.56

    cap 0.25 0.38 0.35 0.23 0.19 0.33 0.17 1.17

    hrur 0.76 0.59 0.66 0.69 0.29 0.61 0.88 0.74

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    hurb 0.77 0.64 0.70 0.69 0.32 0.65 0.86 0.99

    gov 0.22 0.22 0.22 0.22 0.21 0.24 0.21 0.22

    s-i 0.31 0.25 0.27 0.28 0.12 0.25 0.35 0.35

    row 0.48 0.54 0.51 0.50 0.67 0.51 0.44 0.43

    PART 2: The exgenous shock vector

    Exogenous demand shock matrix (E)

    cagr cind csrv Hint

    aagr This matrix shows the size of the exogenous d

    aind It is initially set equal to one, which means a 1

    asrv You can change the size of the shock to any n

    cagr 1.00

    cind 1.00 Remember the unit of the shock and hence th

    csrv 1.00 (i.e., millions of Ghanaian Cedi at 2007 prices)

    lab

    cap It is necessary for matrix calculations that all

    hrur

    hurb

    gov

    s-i

    row

    PART 3: The multiplier effects

    Multiplier effects Z = (I-M)-1 E

    Use the Excel "MMULT" formula to calculate the multiplier effects

    cagr cind csrv

    aagr 1.39 0.23 0.39 Output multipliers

    aind 0.44 0.78 0.49

    asrv 0.58 0.24 1.56

    cagr 1.54 0.25 0.43

    cind 0.90 1.58 1.00

    csrv 0.63 0.26 1.70

    lab 1.15 0.42 0.93 GDP or value-added multipliers

    cap 0.23 0.19 0.33hrur 0.69 0.29 0.61 Income multipliers

    hurb 0.69 0.32 0.65

    gov 0.22 0.21 0.24

    s-i 0.28 0.12 0.25

    row 0.50 0.67 0.51

    Total multiplier effects by type of multiplier

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    Output 2.42 1.25 2.45

    GDP 1.38 0.61 1.26 Note that income and GDP multipliers should

    Income 1.38 0.61 1.26 factor taxes in the Ghana SAM (i.e., all value-a

    Q1: If we make government consumption demand endogenous in the multiplier model, what ha

    A1: Increase

    Q2: Why do the multipliers change when govenrment is made endogenous?

    A2: Before when tax revenues rose during each round of the multiplier process, we did not let g

    Now that government spending is endogenous, any increase in taxes raises government spe

    for services, which now increase production more than before. The multiplier effects are th

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    hrur hurb gov s-i row tot SAM legend

    7,070 aagr Activity - a

    9,084 aind Activity - in

    8,842 asrv Activity - se

    2,453 1,773 2,016 7,805 cagr Commodit

    2,553 3,238 4,680 2,020 18,403 cind Commodit

    705 1,421 1,805 1,115 9,599 csrv Commodit

    9,717 lab Factor - lab

    3,250 cap Factor - ca

    547 409 7,257 hrur Household

    840 1,592 9,097 hurb Household

    940 739 4,052 gov Governme

    1,547 1,725 860 548 4,680 s-i Saving/inve

    8,439 row Rest of the

    7,257 9,097 4,052 4,680 8,439 tot Column an

    hrur hurb gov s-i row Hint

    The final three columns in the coe

    This means that we must leave th

    round-by-round indirect linkage ef

    0.34 0.19

    0.35 0.36

    0.10 0.16

    0.10

    0.21 0.19

    1.00 1.00

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    hrur hurb gov s-i row

    1.00

    1.00

    1.00

    1.00

    1.00

    hrur hurb gov s-i row Hint

    You must use Excel matrix algebra

    To do this, do the following four st

    -0.34 -0.19 1. Highlight the block where you w

    -0.35 -0.36 2. Then types equals (=) followed

    -0.10 -0.16 3. Then subtract (-) the coordinate

    4. Finally, hold down the control (

    1.00 Now if you move your cursor over

    1.00 has "curly" parentheses or bracket

    -0.10 1.00 a formula is matrix algebra.

    -0.21 -0.19 1.00

    1.00

    hrur hurb gov s-i row

    0.59 0.41

    0.47 0.44

    0.43 0.44

    0.65 0.46

    0.96 0.89

    0.47 0.48

    0.63 0.52

    0.18 0.16

    1.39 0.33

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    0.41 1.35

    0.17 0.26 1.00

    0.37 0.33 1.00

    0.46 0.42 1.00

    emand shock for each commodity.

    million cedi increase in demand for each commodity.

    mber.

    e multiplier is in value terms

    .

    f the cell entries have a value, even if is zero.

    PART 4: Deciding on exogenous demand components

    Exogenous demand components

    Enter a one if the component of demand is exogenous in the model (zero otherwise).

    gov s-i row

    1 1 1

    This extended setup allows you to choose exogenous demand components.

    If 1 is chosen, then the respective component is treated as exogenous.

    If 0 is chosen, then the respective component is treated as endogenous.

    Please see code in the M matrix' exogenous accounts above to see how we implement this.

    You cannot set all demand components to be endogenous at the same time.

    By default we set government equal to zero, so that it is now endogenous in our model.

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    be the same since there are no

    dded is paid to households).

    ppens to the size of our multiplier effects?

    overnment consumption increase.

    nding. This further stimulates demand

    refore larger.

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    riculture

    dustry

    rvices

    - agriculture

    - industry

    - services

    or

    ital

    - rural

    - urban

    t

    stment

    world

    row total

    ficient matrix are exogenous accounts in our model.

    se accounts as zero, since they do not generate

    fects. All other columns should sum to one.

  • 7/30/2019 Task 4 Solution

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    commands for this exercise.

    eps when entering the formula:

    ant your answer to be (B67:N79).

    y the coordinates for the entire identity matrix (B49:N61).

    s for the entire coefficient matrix (B30:N42) (leave out the total row)

    TRL) and SHIFT keys, and then press enter

    the matrix to the left you should see that your formula

    s around it (i.e., { and }). This is how Excel shows that

  • 7/30/2019 Task 4 Solution

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