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7_TFM_sim
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7_TFM_sim
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#TFM matrix for Italy SFC model
#Simulated series
################################################################################
#Choose a year (note: 25 = 2020)
yr=30
#Create row names for TFM matrix
rownames<-c( "Consumption",
"Total investment",
"Government spending",
"Export",
"Import",
"[GDP]",
"Taxes",
"Transfers",
"Wages",
"Interest payments",
"Corporate profit",
"Bank profit",
"CB seigniorage",
"Other payments",
"Change in cash and reserves",
"Change in deposits",
"Change in securities",
"Change in loans",
"Change in shares",
"Change in other net FA",
"Change in net wealth",
"Column total")
################################################################################
#Create firms (current) aggregates
Firms_c <-c( round(S_model$simulation$cons[yr], digits = 0),
round(S_model$simulation$id[yr], digits = 0),
round(S_model$simulation$gov[yr], digits = 0),
round(S_model$simulation$x[yr], digits = 0),
round(-S_model$simulation$im[yr], digits = 0),
paste("[",round(S_model$simulation$cons[yr]+S_model$simulation$id[yr]+S_model$simulation$gov[yr]+S_model$simulation$x[yr]-S_model$simulation$im[yr], digits = 0),"]"),
0,
0,
round(-S_model$simulation$wb[yr], digits = 0),
round(-S_model$simulation$intf[yr], digits = 0),
round(-S_model$simulation$ff[yr], digits = 0),
0,
0,
round(S_model$simulation$opf[yr], digits = 0),
0,
0,
0,
0,
0,
0,
0,
paste(round(S_model$simulation$y[yr]-S_model$simulation$wb[yr]-S_model$simulation$intf[yr]-S_model$simulation$ff[yr]+S_model$simulation$opf[yr] , digits = 0)) )
#Create table of results
FirmData_c<-as.data.frame(Firms_c,row.names=rownames)
#Print firms column
kable(FirmData_c)
################################################################################
#Create firms (capital) aggregates
Firms_k <-c( 0,
round(-S_model$simulation$id[yr], digits = 0),
0,
0,
0,
0,
0,
0,
0,
0,
round(S_model$simulation$fu[yr], digits = 0),
0,
0,
0,
0,
0,
0,
round(S_model$simulation$lf[yr-1]-S_model$simulation$lf[yr], digits = 0),
round(S_model$simulation$es[yr-1]-S_model$simulation$es[yr], digits = 0),
round(-(S_model$simulation$oaf[yr-1]-S_model$simulation$oaf[yr]), digits = 0),
round(S_model$simulation$vf[yr]-S_model$simulation$vf[yr-1], digits = 0),
round(-S_model$simulation$id[yr] + S_model$simulation$fu[yr]-
-(S_model$simulation$vf[yr-1]-S_model$simulation$vf[yr]), digits = 0) )
#Create table of results
FirmData_k<-as.data.frame(Firms_k,row.names=rownames)
#Print firms column
kable(FirmData_k)
################################################################################
#Create banks aggregates
Banks <-c( 0,
0,
0,
0,
0,
0,
0,
0,
0,
round(S_model$simulation$intb[yr], digits = 0), #^^
0,
round(-S_model$simulation$fb[yr], digits = 0),
0,
round(S_model$simulation$opb[yr], digits = 0),
round(S_model$simulation$hbd[yr]-S_model$simulation$hbd[yr-1], digits = 0),
round(-(S_model$simulation$ms[yr]-S_model$simulation$ms[yr-1]), digits = 0),
round(S_model$simulation$bb[yr]-S_model$simulation$bb[yr-1], digits = 0),
round(S_model$simulation$ls[yr]-S_model$simulation$ls[yr-1], digits = 0),
0,
round(S_model$simulation$oab[yr]-S_model$simulation$oab[yr-1], digits = 0),
round(S_model$simulation$vb[yr]-S_model$simulation$vb[yr-1], digits = 0),
paste(round(S_model$simulation$opb[yr]-(S_model$simulation$vb[yr]-S_model$simulation$vb[yr-1])+S_model$simulation$intb[yr]-S_model$simulation$fb[yr], digits = 0)) )
#Create table of results
BankData<-as.data.frame(Banks,row.names=rownames)
#Print banks column
kable(BankData)
################################################################################
#Create ECB aggregates
ECB <-c( 0,
0,
0,
0,
0,
0,
0,
0,
0,
round(S_model$simulation$fcb[yr], digits = 0),
0,
0,
round(-S_model$simulation$fcb[yr], digits = 0), #
round(S_model$simulation$opcb[yr], digits = 0),
round(-(S_model$simulation$hs[yr]-S_model$simulation$hs[yr-1]), digits = 0),
0,
round((S_model$simulation$bcb[yr]-S_model$simulation$bcb[yr-1]), digit = 0),
0,
0,
round(S_model$simulation$oacb[yr]-S_model$simulation$oacb[yr-1], digits = 0),
round(S_model$simulation$vcb[yr]-S_model$simulation$vcb[yr-1], digits = 0),
paste(round(S_model$simulation$opcb[yr]-(S_model$simulation$vcb[yr]-S_model$simulation$vcb[yr-1]), digits = 0)) )
#Create table of results
CBData<-as.data.frame(ECB,row.names=rownames)
#Print ECB column
kable(CBData)
################################################################################
#Create government aggregates
Government <-c( 0,
0,
round(-S_model$simulation$gov[yr], digits = 0),
0,
0,
0,
round(S_model$simulation$tax[yr], digits = 0),
round(-S_model$simulation$tr[yr], digits = 0),
0,
round(-(S_model$simulation$intg[yr]), digits = 0),
0,
0,
round(S_model$simulation$fcb[yr], digits = 0),
round(S_model$simulation$opg[yr], digits = 0),
0,
0,
round(-(S_model$simulation$bs[yr]-S_model$simulation$bs[yr-1]), digits = 0),
0,
0,
round(S_model$simulation$oag[yr]-S_model$simulation$oag[yr-1], digits = 0),
round(S_model$simulation$vg[yr]-S_model$simulation$vg[yr-1], digits = 0),
paste(round(-S_model$simulation$gov[yr]+S_model$simulation$tax[yr]-S_model$simulation$tr[yr]-(S_model$simulation$intg[yr])+S_model$simulation$fcb[yr]+S_model$simulation$opg[yr]-(S_model$simulation$vg[yr]-S_model$simulation$vg[yr-1]), digits = 0)) )
#Create table of results
GovData<-as.data.frame(Government,row.names=rownames)
#Print government column
kable(GovData)
################################################################################
#Create households aggregates
Households <-c( round(-S_model$simulation$cons[yr], digits = 0),
0,
0,
0,
0,
0,
round(-S_model$simulation$tax[yr], digits = 0),
round(S_model$simulation$tr[yr], digits = 0),
round(S_model$simulation$wb[yr], digits = 0),
round(S_model$simulation$inth[yr], digits = 0),
round(S_model$simulation$fdf[yr], digits = 0),
round(S_model$simulation$fb[yr], digits = 0),
0,
round(S_model$simulation$oph[yr], digits = 0),
round(S_model$simulation$hh[yr]-S_model$simulation$hh[yr-1], digits = 0),
round(S_model$simulation$mh[yr]-S_model$simulation$mh[yr-1], digits = 0),
round(S_model$simulation$bh[yr]-S_model$simulation$bh[yr-1], digits = 0),
round(-(S_model$simulation$lh[yr]-S_model$simulation$lh[yr-1]), digits = 0),
round(S_model$simulation$eh[yr]-S_model$simulation$eh[yr-1], digits = 0),
round(S_model$simulation$oah[yr]-S_model$simulation$oah[yr-1], digits = 0),
round(S_model$simulation$vh[yr]-S_model$simulation$vh[yr-1], digits = 0),
paste(round(-S_model$simulation$cons[yr]-S_model$simulation$tax[yr]+S_model$simulation$tr[yr]+S_model$simulation$wb[yr]+S_model$simulation$inth[yr]+S_model$simulation$fdf[yr]+S_model$simulation$fb[yr]+S_model$simulation$oph[yr]-(S_model$simulation$vh[yr]-S_model$simulation$vh[yr-1]), digits = 0)) )
#Create table of results
HouseData<-as.data.frame(Households,row.names=rownames)
#Print households column
kable(HouseData)
################################################################################
#Create Foreign sector aggregates
Foreign <-c( 0,
0,
0,
round(-S_model$simulation$x[yr], digits = 0),
round(S_model$simulation$im[yr], digits = 0),
0,
0,
0,
0,
round(S_model$simulation$introw[yr], digits = 0),
0,
0,
0,
round(S_model$simulation$oprow[yr], digits = 0),
0,
0,
round(S_model$simulation$brow[yr]-S_model$simulation$brow[yr-1], digits = 0),
0,
0,
round(S_model$simulation$oarow[yr]-S_model$simulation$oarow[yr-1], digits = 0),
round(S_model$simulation$vrow[yr]-S_model$simulation$vrow[yr-1], digits = 0),
paste(round(-S_model$simulation$x[yr]+S_model$simulation$im[yr]+S_model$simulation$introw[yr]+S_model$simulation$oprow[yr]-(S_model$simulation$vrow[yr]-S_model$simulation$vrow[yr-1]), digits = 0)) )
#Create table of results
ROWData<-as.data.frame(Foreign,row.names=rownames)
#Print foreign sector column
kable(ROWData)
################################################################################
#Create row total
Total <-c( 0,
0,
0,
0,
0,
round(S_model$simulation$y[yr]-(S_model$simulation$cons[yr]+S_model$simulation$id[yr]+S_model$simulation$gov[yr]+S_model$simulation$x[yr]-S_model$simulation$im[yr]), digits = 0),
0,
0,
0,
round(-S_model$simulation$intf[yr]+S_model$simulation$fcb[yr]-S_model$simulation$intg[yr]+S_model$simulation$inth[yr]+S_model$simulation$introw[yr]+S_model$simulation$intb[yr], digits = 0),
0,
0,
0,
round(S_model$simulation$oph[yr]+S_model$simulation$opf[yr]+S_model$simulation$opg[yr]+S_model$simulation$opb[yr]+
+S_model$simulation$opcb[yr]+S_model$simulation$oprow[yr], digits = 0),
round((S_model$simulation$hh[yr]-S_model$simulation$hh[yr-1])+(S_model$simulation$hbd[yr]-S_model$simulation$hbd[yr-1])-(S_model$simulation$hs[yr]-S_model$simulation$hs[yr-1]), digits = 0),
round((S_model$simulation$mh[yr]-S_model$simulation$mh[yr-1])-(S_model$simulation$ms[yr]-S_model$simulation$ms[yr-1]), digits = 0),
round((S_model$simulation$bh[yr]-S_model$simulation$bh[yr-1])-(S_model$simulation$bs[yr]-S_model$simulation$bs[yr-1])+
(S_model$simulation$bb[yr]-S_model$simulation$bb[yr-1])+((S_model$simulation$bcb[yr])-(S_model$simulation$bcb[yr-1]))+
(S_model$simulation$brow[yr]-S_model$simulation$brow[yr-1]), digits = 0),
round(-(S_model$simulation$lh[yr]-S_model$simulation$lh[yr-1])-(S_model$simulation$lf[yr]-S_model$simulation$lf[yr-1])+(S_model$simulation$ls[yr]-S_model$simulation$ls[yr-1]), digit = 0),
round((S_model$simulation$es[yr]-S_model$simulation$es[yr-1])-(S_model$simulation$eh[yr]-S_model$simulation$eh[yr-1]), digits = 0),
round((S_model$simulation$oah[yr]-S_model$simulation$oah[yr-1])+(S_model$simulation$oaf[yr]-S_model$simulation$oaf[yr-1])+(S_model$simulation$oag[yr]-S_model$simulation$oag[yr-1])+
+(S_model$simulation$oab[yr]-S_model$simulation$oab[yr-1])+(S_model$simulation$oacb[yr]-S_model$simulation$oacb[yr-1])+(S_model$simulation$oarow[yr]-S_model$simulation$oarow[yr-1]), digits = 0),
round((S_model$simulation$vh[yr]-S_model$simulation$vh[yr-1])+(S_model$simulation$vf[yr]-S_model$simulation$vf[yr-1])+(S_model$simulation$vg[yr]-S_model$simulation$vg[yr-1])+
+(S_model$simulation$vb[yr]-S_model$simulation$vb[yr-1])+(S_model$simulation$vcb[yr]-S_model$simulation$vcb[yr-1])+(S_model$simulation$vrow[yr]-S_model$simulation$vrow[yr-1]), digits = 0),
0)
#Create table of results
TotalData<-as.data.frame(Total,row.names=rownames)
#Print banks column
kable(TotalData)
################################################################################
#Create TFM matrix
Italy_TFM_Matrix<-cbind(HouseData,FirmData_c,FirmData_k,GovData,BankData,CBData,ROWData,TotalData)
kable(Italy_TFM_Matrix)
################################################################################
#Upload libraries
library(knitr)
library(kableExtra)
#Create caption
captionTFM_out <- paste("Table 2. Transactions-flow matrix in period", yr+1995)
#Create html table for TFM
Italy_TFM_Matrix %>%
kbl(caption=captionTFM_out,
#format= "html",
format= "latex",
col.names = c("Households","Firms (current)","Firms (capital)","Government","Banks","ECB","Foreign","Total"),
align="r") %>%
kable_classic(full_width = F, html_font = "helvetica")