アットウィキロゴ

TSA005

 

par(mfrow=c(2,2))
x <- read.table("iipcpimb4.csv",sep=",",skip=6)
ts.x <-ts(x, start=c(2003,1),frequency=12)
IIP <- ts.x[,10]
plot(IIP)#2005.3=100
bunkai1 <- decompose(IIP,type="multiplicative");plot(bunkai1)


y <- read.table("IIP78-.csv",sep=",",skip=6)
ts.y <- ts(y, start=c(1978,1),frequency=12)
plot(ts.y[,-1])
product <- ts.y[,2]
ship <- ts.y[,3]
stock <- ts.y[,4]

n <- length(SHIP)

rate_sp <- diff(log(ship),lag=12)
rate_st <- diff(log(stock),lag=12)
rate_sp;rate_st
par(mfrow=c(2,1))
plot(rate_st);plot(rate_sp)

a <- rate_sp[1:36]
b <- rate_st[1:36]

x_lbl <- "出荷指数の前年同月比"
y_lbl <- "在庫指数の前年同月比"
title <- "在庫循環の図"
plot(a,b,type="o",main=title,xlab=x_lbl,ylab=y_lbl)
arrows(a[1],b[1],a[2],b[2])
arrows(a[35],b[35],a[36],b[36])
abline(h=0,lty=2)
abline(v=0,lty=2)

・IIP原形の分析

p252,田中孝文[2008]が何故かうまくいかないためすこし改造。

x <- read.table("IIP_genkei78-07.csv",sep=",",skip=1)
x1 <- x[1:155,]
x2 <- x[156:360,]
y <- x[,2]
y1 <- x1[,2]
y2 <- x2[,2]
IIP <-ts(y, start=c(1978,1),frequency=12)
IIP1 <-ts(y1, start=c(1978,1),frequency=12)
IIP2 <-ts(y2, start=c(1991,1),frequency=12)

par(mfrow=c(2,2))
ts.plot(IIP,type="l",main="IIP78-07")
abline(v=c(1991,1),col=2)
acf(IIP,lag.max=60,main="acf of the IIP in the all period")
acf(IIP1,lag.max=60,main="acf of the IIP in 78-90")
acf(IIP2,lag.max=60,main="acf of the IIP in 91-07")

 www23.atwiki.jp/waseda2bun_r

 (一様上記文献と同じような図は導出・・・。2ヶ月分だけデータは多いので厳密には違うはず・・・。)

・要因の分解

トレンドと季節性を確認する。

bunkai <- decompose(IIP,type="multiplicative");plot(bunkai)
bunkai1 <- decompose(IIP1,type="multiplicative");plot(bunkai1)
bunkai2 <- decompose(IIP2,type="multiplicative");plot(bunkai2)

par(mfrow=c(2,2))
plot(bunkai1$trend)
plot(bunkai2$trend)
plot(bunkai1$seasonal)
plot(bunkai2$seasonal)

 www23.atwiki.jp/waseda2bun_r

 

・3期間の比較

x <- read.table("IIP_genkei78-07.csv",sep=",",skip=1)
par(mfrow=c(2,2))
x1 <- x[1:155,]
x2 <- x[156:360,]
x3 <- x[156:289,]
x4 <- x[290:360,]
y <- x[,2]
y1 <- x1[,2]
y2 <- x2[,2]
y3 <- x3[,2]
y4 <- x4[,2]
IIP1 <-ts(y1, start=c(1978,1),frequency=12)
IIP2 <-ts(y2,start=c(1991,1),frequency=12)
IIP3 <-ts(y3,start=c(1991,1),frequency=12)
IIP4 <-ts(y4,start=c(2002,1),frequency=12)

par(mfrow=c(2,2))

acf(IIP1,lag.max=60,main="acf of the IIP in 78-90")
acf(IIP2,lag.max=60,main="acf of the IIP in 91-07")
acf(IIP3,lag.max=60,main="acf of the IIP in 91-01")
acf(IIP4,lag.max=60,main="acf of the IIP in 02-07")

bunkai <- decompose(IIP,type="multiplicative");plot(bunkai)
bunkai1 <- decompose(IIP1,type="multiplicative");plot(bunkai1)
bunkai2 <- decompose(IIP2,type="multiplicative");plot(bunkai2)
bunkai3 <- decompose(IIP3,type="multiplicative");plot(bunkai1)
bunkai4 <- decompose(IIP4,type="multiplicative");plot(bunkai2)

par(mfrow=c(2,2))
plot(bunkai1$trend)
plot(bunkai2$trend)
plot(bunkai3$trend)
plot(bunkai4$trend)

par(mfrow=c(2,2))
plot(bunkai1$seasonal)
plot(bunkai2$seasonal)
plot(bunkai3$seasonal)
plot(bunkai4$seasonal)

 ・周波数

spectrum(IIP1)
spectrum(IIP2)
spectrum(IIP3)
spectrum(IIP4)

spec.ar(IIP1)
spec.ar(IIP2)
spec.ar(IIP3)
spec.ar(IIP4)

 4章を参照にしトレンドを抽出

xdata <- read.table("IIP_genkei78-07.csv",sep=",",skip=1)
x <- xdata[,2]
IIP <- ts(x,start=c(1978,1),frequency=12)

IIP1 <- window(IIP, start=c(1978,1),end=c(1990,12),frequency=12)
IIP2 <-  window(IIP,start=c(1991,1),frequency=12)
#setting a time
time1 <- seq(1:length(IIP1))
time2 <- seq(1:length(IIP2))

# OLS for each period
kaiki1 <- lm(IIP1~time1)
kaiki2 <- lm(IIP2~time2)
# setting a Trend in each period
tr1 <- ts(kaiki1$fitted,start=c(1978,1),frequency=12)
tr2 <- ts(kaiki2$fitted,start=c(1991,1),frequency=12)

#setting a title or stm alike
ttl <- "IIP and its 2 trend"
hanrei <- c("1978-1990","
1991-")

# draw a ts.plot
ts.plot(IIP,tr1,tr2,type="l",lty=c(1:3),main=ttl)
legend(1995,70,legend=hanrei,lty=c(1:3),box.lty=0)

4章のうちトレンドの後半を二分

xdata <- read.table("IIP_genkei78-07.csv",sep=",",skip=1)
x <- xdata[,2]
IIP <- ts(x,start=c(1978,1),frequency=12)

IIP1 <- window(IIP, start=c(1978,1),end=c(1990,12),frequency=12)
IIP2 <-  window(IIP,start=c(1991,1),end=c(2001,12),frequency=12)
IIP3 <- window(IIP,start=c(2002,1),frequency=12)

#setting a time
time1 <- seq(1:length(IIP1))
time2 <- seq(1:length(IIP2))
time3 <- seq(1:length(IIP3))

# OLS for each period
kaiki1 <- lm(IIP1~time1)
kaiki2 <- lm(IIP2~time2)
kaiki3 <- lm(IIP3~time3)
# setting a Trend in each period
tr1 <- ts(kaiki1$fitted,start=c(1978,1),frequency=12)
tr2 <- ts(kaiki2$fitted,start=c(1991,1),frequency=12)
tr3 <- ts(kaiki3$fitted,start=c(2002,1),frequency=12)

#setting a title or stm alike
ttl <- "IIP and its 3 trend"
hanrei <- c("1978-1990","1991-2001","2002-")
# draw a ts.plot
ts.plot(IIP,tr1,tr2,tr3,type="l",lty=c(1:3),main=ttl)
#hanreiがうまく反映されないのでコメントアウト
#legend(1995,70,legend=hanrei,lty=c(1:3),box.lty=0)

 

 

 

 

 

 

 

 

最終更新:2010年10月23日 01:09