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01a_Compile_USdata.R
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01a_Compile_USdata.R
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# ----------------------------------------- #
# #
# This program extracts and organizes the #
# US state-level input and output data #
# from the raw excel file provided by USDA. #
# #
# ----------------------------------------- #
# Open package
library(readxl) # to read data from excel files
# ------------------------------------ #
#### Download and save the raw data ####
# ------------------------------------ #
# Download the data from ERS-USDA ("Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004")
#url <- "https://www.ers.usda.gov/webdocs/DataFiles/47679/StatePriceIndicesAndQ.xls?v=4846.9"
#destfile <- "Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls"
#download.file(url, destfile)
# ------------------------------------ #
#### Read in the required variables ####
# -------------------------------------#
# Agricultural outputs
p_livestock <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C131:AU178", col_names = FALSE)
q_livestock <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C182:AU229", col_names = FALSE)
p_crops <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C235:AU282", col_names = FALSE)
q_crops <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C286:AU333", col_names = FALSE)
p_otheroutp <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C339:AU386", col_names = FALSE)
q_otheroutp <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C390:AU437", col_names = FALSE)
# Agricultural inputs
w_capital <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C547:AU594", col_names = FALSE)
x_capital <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C598:AU645", col_names = FALSE)
w_land <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C651:AU698", col_names = FALSE)
x_land <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C702:AU749", col_names = FALSE)
w_labor <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C755:AU802", col_names = FALSE)
x_labor <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C806:AU853", col_names = FALSE)
w_interm <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C1067:AU1114", col_names = FALSE)
x_interm <- read_excel("Data/Table 23. Price indices and implicit quantities of farm outputs and inputs by State, 1960-2004.xls", range = "C1118:AU1165", col_names = FALSE)
# ------------------------------------ #
#### Create data frame for the data ####
# ------------------------------------ #
USdata <- data.frame(matrix(ncol = 16, nrow = 2160))
x <- c("year", "state",
"p_livestock", "q_livestock", "p_crops", "q_crops", "p_otheroutp", "q_otheroutp",
"w_capital", "x_capital", "w_land", "x_land", "w_labor", "x_labor", "w_interm", "x_interm")
colnames(USdata) <- x
USdata$year <- seq(1960, 2004, length.out = 45)
USdata$state <- rep(c("AL","AR","AZ","CA","CO","CT","DE","FL",
"GA","IA","ID","IL","IN","KS","KY","LA",
"MA","MD","ME","MI","MN","MO","MS","MT",
"NC","ND","NE","NH","NJ","NM","NV","NY",
"OH","OK","OR","PA","RI","SC","SD","TN",
"TX","UT","VA","VT","WA","WI","WV","WY"),each=45)
# ------------------------------------ #
#### Write values to the data frame ####
# ------------------------------------ #
# p_livestock
x <- c(p_livestock[1,])
for(i in 2:48) {
x <- c(x,p_livestock[i,])
}
USdata$p_livestock <- as.numeric(x)
# q_livestock
x <- c(q_livestock[1,])
for(i in 2:48) {
x <- c(x,q_livestock[i,])
}
USdata$q_livestock <- as.numeric(x)
# p_crops
x <- c(p_crops[1,])
for(i in 2:48) {
x <- c(x,p_crops[i,])
}
USdata$p_crops <- as.numeric(x)
# q_crops
x <- c(q_crops[1,])
for(i in 2:48) {
x <- c(x,q_crops[i,])
}
USdata$q_crops <- as.numeric(x)
# p_otheroutp
x <- c(p_otheroutp[1,])
for(i in 2:48) {
x <- c(x,p_otheroutp[i,])
}
USdata$p_otheroutp <- as.numeric(x)
# q_otheroutp
x <- c(q_otheroutp[1,])
for(i in 2:48) {
x <- c(x,q_otheroutp[i,])
}
USdata$q_otheroutp <- as.numeric(x)
# w_capital
x <- c(w_capital[1,])
for(i in 2:48) {
x <- c(x,w_capital[i,])
}
USdata$w_capital <- as.numeric(x)
# x_capital
x <- c(x_capital[1,])
for(i in 2:48) {
x <- c(x,x_capital[i,])
}
USdata$x_capital <- as.numeric(x)
# w_land
x <- c(w_land[1,])
for(i in 2:48) {
x <- c(x,w_land[i,])
}
USdata$w_land <- as.numeric(x)
# x_land
x <- c(x_land[1,])
for(i in 2:48) {
x <- c(x,x_land[i,])
}
USdata$x_land <- as.numeric(x)
# w_labor
x <- c(w_labor[1,])
for(i in 2:48) {
x <- c(x,w_labor[i,])
}
USdata$w_labor <- as.numeric(x)
# x_labor
x <- c(x_labor[1,])
for(i in 2:48) {
x <- c(x,x_labor[i,])
}
USdata$x_labor <- as.numeric(x)
# w_interm
x <- c(w_interm[1,])
for(i in 2:48) {
x <- c(x,w_interm[i,])
}
USdata$w_interm <- as.numeric(x)
# x_interm
x <- c(x_interm[1,])
for(i in 2:48) {
x <- c(x,x_interm[i,])
}
USdata$x_interm <- as.numeric(x)
summary (USdata)
# -------------------------- #
#### save this data frame ####
# -------------------------- #
# Save as .RDA-file
save(USdata,file="R_output/USdata.Rda")
# Save as .CSV-file
write.csv(USdata, "R_output/USdata.csv", row.names=TRUE)