Description Usage Arguments Details Value Examples
This function computes the critical values for the sup ADF statistic by Phillips et al. (2015)
1 | CV_SADF(qe, m, T, r0, address, clust_number)
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qe |
is a q x 1 vector of quantiles |
m |
is the number of replications for the simulated DGP |
T |
is the number of simulated time steps |
r0 |
is the minimum window size fraction |
address |
is a character object containing the address where the plot density of SADF test stat will be saved in png format |
clust_number |
is the number of clusters for parallel computation |
This function computes the critical values for the sup ADF statistic by Phillips et al. (2015) and saves the plot density of SADF test statistic as a png file in a specified address
quantile_sadf a q x 1 vector of simulated critical values for the sup ADF statistic
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## Not run:
# Replicate finite sample critical values in Table 1 for SADF by PSY(2015)
qe <-c(0.90,0.95,0.99)
address <- "D:/bubbletest/"
m <- 1000 # number of replications
table1_sadf <- matrix(0,5,length(qe))
table1_sadf[1,] <- CV_SADF(qe,m,100,0.190,address,clust_number=8)
table1_sadf[2,] <- CV_SADF(qe,m,200,0.137,address,clust_number=8)
table1_sadf[3,] <- CV_SADF(qe,m,400,0.100,address,clust_number=8)
table1_sadf[4,] <- CV_SADF(qe,m,800,0.074,address,clust_number=8)
table1_sadf[5,] <- CV_SADF(qe,m,1600,0.055,address,clust_number=8)
write.table( table1_sadf,paste0(address, "table1_sadf.csv"), row.names = F, col.names =F)
## End(Not run)
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