The updated paper and dataset can be downloaded from UNESCAP.
library("AER")
library("dplyr")
library("foreign")
library("ggplot2")
library("lmtest")
library("multiwayvcov")
library("sampleSelection")
services <- read.dta("servicesdataset_2016.dta")
Table 1
services <- services %>%
mutate(ln_trade = log(trade),
ln_distance = log(dist),
ln_gdp_exp = log(gdp_exp),
ln_gdp_imp = log(gdp_imp))
cor_data <- services %>%
filter(sector == "SER") %>%
select(ln_trade, ln_gdp_exp, ln_gdp_imp, ln_distance) %>%
na.omit() %>%
filter(ln_trade > -Inf)
round(cor(cor_data), 4)
## ln_trade ln_gdp_exp ln_gdp_imp ln_distance
## ln_trade 1.0000 0.3643 0.3731 -0.2648
## ln_gdp_exp 0.3643 1.0000 -0.3103 0.0518
## ln_gdp_imp 0.3731 -0.3103 1.0000 0.0431
## ln_distance -0.2648 0.0518 0.0431 1.0000
Prepare data