72 lines
2.3 KiB
R
72 lines
2.3 KiB
R
library(tidyverse)
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I_MAT <- read.csv("Wyoming_2024_SAM_v1.7/Wyoming_ixi_39_naics2_2024.csv")
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NAMES <- I_MAT[,1]
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LEN <- nrow(I_MAT)
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I_MAT <- I_MAT[,-1]
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I_MAT <- as.matrix(I_MAT,nrow=LEN)
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colnames(I_MAT) <- NAMES
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rownames(I_MAT) <- NAMES
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TOTALS <- colSums(I_MAT )
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TOTALS <- ifelse(TOTALS==0,0.000000,TOTALS) %>% as.numeric
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#Column division
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A_MAT <- t(t(I_MAT)/TOTALS)
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ACCOUNT_RANGE <- (LEN-13):LEN
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TYPE1_A <- A_MAT[-ACCOUNT_RANGE,-ACCOUNT_RANGE]
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MULTIPLIER_OUTPUT_TYPE1 <- solve(diag(LEN-14)-TYPE1_A)
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TYPE1_MULTIPLIERS_TOTAL <- colSums(MULTIPLIER_OUTPUT_TYPE1 )
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DEMAND_RANGE <- ACCOUNT_RANGE[-1:-6]
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TYPE2_A <- A_MAT[-DEMAND_RANGE,-DEMAND_RANGE]
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MULTIPLIER_OUTPUT_TYPE2 <- solve(diag(LEN-8)-TYPE2_A)
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MULTIPLIER_OUTPUT_TYPE2
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HH_VALUE_ACCOUNTS <- (nrow(MULTIPLIER_OUTPUT_TYPE2 )-5):nrow(MULTIPLIER_OUTPUT_TYPE2 )
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TYPE2_MULTIPLIERS_TOTAL <- colSums(MULTIPLIER_OUTPUT_TYPE2[-HH_VALUE_ACCOUNTS ,])
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TYPE2_MULTIPLIERS_TOTAL
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###########Value Added
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VALUE_ADD_MAT <- colSums(I_MAT[c('EmpComp','PropInc','OthPropInc','TOPI','SUB'),])/colSums(I_MAT)
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(I_MAT[c('EmpComp'),])/colSums(I_MAT)
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(I_MAT[c('PropInc'),])/colSums(I_MAT)
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(I_MAT[c('OthPropInc'),])/colSums(I_MAT)
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(I_MAT[c('TOPI'),])/colSums(I_MAT)
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(I_MAT[c('SUB'),])/colSums(I_MAT)
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length( TYPE2_MULTIPLIERS_TOTAL)
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length( I_MAT[c('EmpComp'),])
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/colSums(I_MAT)))
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TYPE1_MULTIPLIERS_TOTAL
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colSums(I_MAT[(colnames(I_MAT) %in% c('EmpComp','PropInc','OthPropInc','TOPI','SUB')),])/colSums(I_MAT)
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VALUE_ADD_MAT
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colSums(VALUE_ADD_MAT[colnames(TYPE2_A)]*MULTIPLIER_OUTPUT_TYPE2 )
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colSums(VALUE_ADD_MAT[colnames(TYPE1_A)]*MULTIPLIER_OUTPUT_TYPE1 )
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colSums(MULTIPLIER_OUTPUT_TYPE1*VALUE_ADD_MAT[colnames(TYPE1_A)] )
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VA_TYPE2 <- colSums(solve(diag(nrow(TYPE2_A))-TYPE2_A*VALUE_ADD_MAT[colnames(TYPE2_A)]))
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VA_TYPE1 <- colSums(solve(diag(nrow(TYPE1_A))-TYPE1_A*VALUE_ADD_MAT[colnames(TYPE1_A)]))
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EmpComp_MAT <- I_MAT[c('EmpComp'),]/colSums(I_MAT)
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EmpComp_TYPE2 <- colSums(solve(diag(nrow(TYPE2_A))-TYPE2_A*EmpComp_MAT[colnames(TYPE2_A)]))
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EmpComp_TYPE2
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EmpComp_TYPE1 <- colSums(solve(diag(nrow(TYPE1_A))-TYPE1_A*EmpComp_MAT[colnames(TYPE1_A)]))
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min(EmpComp_TYPE1 )
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PropInc_MAT <- I_MAT[c('PropInc'),]/colSums(I_MAT)
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OthPropInc_MAT <- I_MAT[c('OthPropInc'),]/colSums(I_MAT)
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TOPI_MAT <- I_MAT[c('TOPI'),]/colSums(I_MAT)
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SUB_MAT <- I_MAT[c('SUB'),]/colSums(I_MAT)
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