hello. I am a student studying simultaneous equation models.

[su-whan kim]

gen lgdpdef = ln(gdpdef)
gen lcpi = ln(cpi)
gen lexch = ln(exch)
gen lrgdp = ln(gdp)

gen acr_o = ln(acr)
gen y_o = ln(y)
gen imq_o = ln(imq)
gen imp_o = ln(imp)
gen nfp_o = ln(nfp/gdpdef)
gen ncp_o = ln(ncp/gdpdef)
gen linput_1=ln(inputp/gdpdef)
gen ltpung=ln(tpung)
gen ltec=ln(tec)


gen tq= acr*y/100
gen ts=tq+(imq*1000)-(exq*1000)
gen td=ts-exq*1000
gen pd=td/pop*1000
gen lpd = ln(pd)
gen lpdinc = ln(pdinc)


tsset year

reg lgdpdef lcpi lexch lrgdp
estimates store gdpdef
estat dwatson

reg acr_o l.acr_o l.nfp_o l.linput_1 dum_a
estimates store acr_1
estat dwatson
estat vif
//R^2=0.65


reg y_o l.y_o tec
estimates store y_1
estat dwatson
estat vif
//R^2=0.76


reg imq_o ncp_o imp_o lpd
estimates store imq_q
estat dwatson
estat vif
//R^2=0.84


reg nfp_o ncp_o
estimates store nfp_1
estat dwatson
estat vif


reg ncp_o imp_o lpdinc
estimates store ncp_1
estat dwatson
estat vif


forecast clear
forecast create onion

forecast estimates acr_1
forecast estimates y_1
forecast estimates imq_q
forecast estimates ncp_1
forecast estimates nfp_1


forecast exogenous gdp //o
forecast exogenous gdpdef //o
forecast exogenous exch //o
forecast exogenous rgdp //o
forecast exogenous ndinc //o
forecast exogenous inputp //o


forecast identity tq=l.acr*y/100
forecast identity ts=tq+(l.imq*1000)-(l.exq*1000)
forecast identity td=ts-l.exq*1000
forecast identity pd=td/l.pop*1000
forecast list
forecast describe endogenous
forecast describe estimate, detail
forecast solve, prefix(p_) periods(3)

This is my code. However, I am having trouble because errors in this content appear. Please help me 2023: missing values encountered Missing values were encountered while attempting to solve the model at time 2023. Forecasts for variables acr_o, y_o, imq_o, ncp_o, nfp_o, tq, ts, td, and pd evaluate to missing.