Data handling
# Start Inf data
# ---------------
# read data
dtf <- read_dta("Data/Turkey/startinf_Turkey.dta", encoding = "latin1")
# labels of each variable
dtf_labels <- unlist(lapply(dtf, attr, which = "label"))
# remove labels
dtf <- as.data.frame(lapply(dtf, c))
# Notice that for a given frequency,
# the data begins at the start of the period
# it reports to (for example, monthly data's date is on the 1st of
# each month)
# fix date
datelookup <- seq.Date(from = as.Date("2013-01-01"),
to = as.Date("2021-06-01"),
by = "month")
dtf$date <- datelookup[dtf$date - abs(min(dtf$date)) + 1]
# order by date
dtf <- arrange(dtf, date)
# correct magnitude of certain variables
dtf <- dtf %>%
mutate_at(vars(-date ,-contains("_skew")),
~ ./100 ) #it's ok no skewness here
for (k in c(1,2,5,10)) {
var <- paste0("Ecpi",k,"_max_minus_min")
var_max <- paste0("Ecpi",k,"_max")
var_min <- paste0("Ecpi",k,"_min")
dtf[,var] <- dtf[,var_max]-dtf[,var_min]
}
# compute distribution skewness
# -----------------------------
sk <- function(x) {
# x matrix with probability buckets
y <- rep(c(1.5, seq(3.25, by= 0.5,length.out = ncol(x)-1)), nrow(x)) # midpoints
y <- matrix(y/100, nrow = nrow(x))
Ex <- rowSums(x*y)
Ex2 <- rowSums(x*(y^2))
Ex3 <- rowSums(x*(y^3))
stdev <- sqrt(Ex2 - Ex^2)
# https://en.wikipedia.org/wiki/Skewness
skewness <- (Ex3 - 3*Ex*stdev^2 - Ex^3)/(stdev^3)
return(skewness)
}
# 1 year
x <- as.matrix(dtf %>% select(starts_with("Ecpi1_p_"))) # probabilities
dtf$Ecpi1_skewness <- sk(x)
# 2 years
x <- as.matrix(dtf %>% select(starts_with("Ecpi2_p_"))) # probabilities
dtf$Ecpi2_skewness <- sk(x)
# adjustment of lead data
# -----------------------
# be careful. If you use more than one year horizons, you have
# to adjust the lagging
if (bAdjustPeriodTiming) {
dtf <- dtf %>%
mutate_at(vars(starts_with("Ecpi"),
starts_with("breakeven"),
bt_Eppi),
~ lag(.,12)
) # monthly data
}
# turkey's data is end of period, so no need for "-1"
# arrange data for plotting
dtf_long <- pivot_longer(dtf, !date,
names_to = "variable",
values_to = "value",
values_transform = as.numeric)
Timespan is 2013/01 - 2021/07
Figure(s) 12: Turkey’s drifting expected inflation anchor: 2018 - …
Subfigure 14(a): Actual inflation, markets and survey first-order moments
# Actual and expected inflation
vars1 <- c("pi",
"Ecpi1_median",
"breakeven",
"bt_Eppi")
breakss <- c(vars1, "Target")
legs <- c("Actual inflation",
"Cross-sectional median of professionals’ survey",
"Market-price implied expectation",
"Weighted mean of firms’ survey",
"Target")
legv <- c('red', 'blue', 'green4', 'orange3', 'black')
linev <- c('solid', 'dotted', 'dashed', "dotdash", 'longdash')
# inflation target
target <- 0.05
# thickness of line
vline_w <- 0.6 # mm
# ticks
labs <- c(0, target, seq(target, 0.3, length.out = 6)[2:6])
# plot
plot <- create_plot(dtf_long, date_lb = as.Date("2015-01-01"),
vars = vars1, scales = 0) +
theme(legend.position = c(0.27,0.8)) +
geom_hline(aes(yintercept = target,
colour = "Target", linetype = "Target"),
size = tfont(vline_w)) +
scale_linetype_manual(breaks = breakss,
values = linev, labels = legs) +
scale_colour_manual(breaks = breakss,
values = legv, labels = legs) +
scale_y_continuous(limits = c(0, 0.3),
breaks = labs,
labels = scales::percent(labs, accuracy = 1))
Scale for ‘y’ is already present. Adding another scale for ‘y’, which will replace the existing scale.
print(plot)

if (bSavePlots) my_ggsave(paste0(path_figure_out, "figure_12_a.pdf"), plot)
---
title: "Brookings Paper - Turkey - Notebook"
output: html_notebook
---

```{r start_R, include = FALSE}

#----------------------------------------------------------------
# Initiation
#----------------------------------------------------------------

rm(list = ls())

# clean console
cat("\014")

#### PLEASE CHOOSE #####

# print and save plots?
bSavePlots <- 1   # 0: no
                  # 1: yes

# Expectations at T = T-h or T+h?
# will shift by 12 periods (monthly), be careful for e.g. quarterly data
bAdjustPeriodTiming <- 0   # 0: T+h
                           # 1: T-h

####  CHOICE END   #####

# BEWARE ONLY VARIABLES USED ARE ADJUSTED
# IF YOU WANT TO USE OTHER VARIABLES
# PLEASE ADD THEM BELOW WHEN THE ADJUSTMENT
# IS MADE

# packages
# list of libraries
packages <- c("tidyverse"   # data analysis
              ,"knitr"      # markdown
              ,"haven"      # read .dta files
              ,"readxl"     # read excel files
              ,"lubridate"  # dates
              ,"tinytex"    # for markdown
              ,"ks"         # kernel estimation
)

# install them if needed
new_packages <-
  packages[!(packages %in% installed.packages()[, "Package"])] 

 if (length(new_packages) > 0){ #installs them
   install.packages(new_packages, dependencies = TRUE)
}

# load libraries
lapply(packages, require, character.only = TRUE)

```


```{r plot_def, include = FALSE}

# ggplot2 options

# size of figures for saving and displaying (disp will be adjusted)
# figure size in cm (for inches divide by 0.393700787)
fig_h <- 2.5 * 8.4375* 0.393700787 # width
fig_w <- 2.5 * 15 * 0.393700787    # height
fig_disp_adj <- 1                  # adjustment for figure display


# Convert from mm to internal units used in grid ggplot
tfont <- function(x) return(.pt*x)        # this way no res problems
tlwd  <- function(x) return(.stroke*x) 

# ggplot2 options
# plot definitions 

legend_text_size <- 7.5
axis_text_size   <- 7

legend_key_width <- 20 # mm

# size of line for plots
line_sizee <- tlwd(1)

theme_set(
  theme_minimal() +
            theme(panel.background = element_blank(),
                  plot.title = element_text(face = "plain", size = tfont(6)),
                  plot.subtitle = element_text(face = "italic"),
                  panel.grid.minor.x = element_blank(),
                  axis.ticks = element_blank(),
                  axis.line = element_line(),
                  legend.background = element_rect(colour = "black",
                                                   fill = NA, size = 0.5),
                  legend.box.background = element_blank(),
                  legend.title = element_blank(),
                  legend.position = c(0.25,0.8),
                  legend.key = element_rect(colour = NA,
                                            fill = NA),
                  legend.key.width = unit(legend_key_width, "mm"),
                  legend.text = element_text(size = tfont(legend_text_size)),
                  axis.text  = element_text(size = tfont(axis_text_size)),
                  axis.title = element_blank()
                 )
)


# functions to create colour/line scheme

create_legv <- function(x) {

  #colours to be used in plots
  y <- c('red','blue','green4','orange3',"purple2")
  n <- length(x)
  y <- y[1:n]
  names(y) <- x 
  return(y)

}

create_linev <- function(x) {

  # linetypes to be used in plots
  y <- c('solid','dotted','dashed',"dotdash",'longdash')
  n <- length(x)
  y <- y[1:n]
  names(y) <- x
  return(y)

}

create_plot <- function(df,
                        vars,
                        legs = NULL,
                        date_lb = as.Date("2013-01-01"),
                        date_ub = as.Date("2021-12-31"),
                        perc = 1,
                        scales = 1,
                        line_size = line_sizee) {
  
  # date bounds
  date_lb <- as.Date(date_lb)
  date_ub <- as.Date(date_ub)
  
  # colours/linetypes
  legv <- create_legv(vars)
  linev <- create_linev(vars)
  
  df <- df %>%
        filter(date >= date_lb & date <= date_ub &
               variable %in% vars & !is.na(value)) %>%
        mutate(variable = factor(variable, levels = vars))
  
  plot <- ggplot(df, aes(x = date, y = value)) +
    geom_line(aes(colour = variable, linetype = variable),
              size = line_size) +
    scale_x_date(date_breaks = "1 year", date_labels = "%Y")
  
  if (scales) plot <- plot + 
        scale_linetype_manual(breaks = vars, values= linev, labels = legs) +
        scale_colour_manual(breaks = vars, values = legv, labels = legs) 
  
  if (perc) plot <- plot + 
        scale_y_continuous(labels = scales::percent_format(accuracy = 1))
  
  return(plot)
  
}

my_ggsave <- function(.filename, .plot,
                      .device = "pdf", .width = fig_w,
                      .height = fig_h, .units = "in", .dpi = 300, ...) {
  
  ggsave(filename = .filename, plot = .plot,
         device = .device,
         width = .width, height = .height,
         units = .units, dpi = .dpi, ...)
  
}

```

```{r setup, include = FALSE}

# directory
directory <- getwd()
directory <- gsub("/Code", "", directory)
opts_knit$set(root.dir = directory)

path_figure_out <- "./Figures/"

# default chunk options
opts_chunk$set(message = FALSE, warning = FALSE, results = 'asis', echo = TRUE,
               fig.width = fig_disp_adj * fig_w, fig.height = fig_disp_adj * fig_h,
               fig.retina = 1) # figure options

```

## Data handling

```{r load_data}

# Start Inf data
# ---------------

# read data
dtf <- read_dta("Data/Turkey/startinf_Turkey.dta", encoding = "latin1")

# labels of each variable
dtf_labels <- unlist(lapply(dtf, attr, which = "label"))

# remove labels
dtf <- as.data.frame(lapply(dtf, c))

# Notice that for a given frequency,
# the data begins at the start of the period
# it reports to (for example, monthly data's date is on the 1st of
# each month)

# fix date
datelookup <- seq.Date(from = as.Date("2013-01-01"),
                       to = as.Date("2021-06-01"),
                       by = "month")
dtf$date <- datelookup[dtf$date - abs(min(dtf$date)) + 1]

# order by date
dtf <- arrange(dtf, date)

# correct magnitude of certain variables
dtf <- dtf %>% 
        mutate_at(vars(-date ,-contains("_skew")),
                  ~ ./100 ) #it's ok no skewness here

for (k in c(1,2,5,10)) {
  
  var <-     paste0("Ecpi",k,"_max_minus_min")
  var_max <- paste0("Ecpi",k,"_max")
  var_min <- paste0("Ecpi",k,"_min")
  dtf[,var] <- dtf[,var_max]-dtf[,var_min]
  
}


# compute distribution skewness
# -----------------------------

sk <- function(x) {
   
  # x matrix with probability buckets
  y <- rep(c(1.5, seq(3.25, by= 0.5,length.out = ncol(x)-1)), nrow(x)) # midpoints
  y <- matrix(y/100, nrow = nrow(x))

  Ex  <- rowSums(x*y)
  Ex2 <- rowSums(x*(y^2))
  Ex3 <- rowSums(x*(y^3))
  stdev  <- sqrt(Ex2 - Ex^2)

  # https://en.wikipedia.org/wiki/Skewness
  skewness <- (Ex3 - 3*Ex*stdev^2 - Ex^3)/(stdev^3)

  return(skewness)
}

# 1 year
x <- as.matrix(dtf %>% select(starts_with("Ecpi1_p_")))           # probabilities
dtf$Ecpi1_skewness <- sk(x)

# 2 years 
x <- as.matrix(dtf %>% select(starts_with("Ecpi2_p_")))           # probabilities
dtf$Ecpi2_skewness <- sk(x)

# adjustment of lead data
# -----------------------
# be careful. If you use more than one year horizons, you have
# to adjust the lagging

if (bAdjustPeriodTiming) {
  dtf <- dtf %>%
    mutate_at(vars(starts_with("Ecpi"),
                   starts_with("breakeven"),
                   bt_Eppi),
              ~ lag(.,12)
             ) # monthly data
}

# turkey's data is end of period, so no need for "-1"

# arrange data for plotting
dtf_long <- pivot_longer(dtf, !date,
                         names_to = "variable",
                         values_to = "value",
                         values_transform = as.numeric)

```

# Timespan is 2013/01 - 2021/07

## Figure(s) 12: Turkey’s drifting expected inflation anchor: 2018 - ...
## Subfigure 14(a): Actual inflation, markets and survey first-order moments

```{r fig_12_a}

# Actual and expected inflation 

vars1 <- c("pi",
           "Ecpi1_median",
           "breakeven",
           "bt_Eppi")

breakss <- c(vars1, "Target")

legs <-  c("Actual inflation",
           "Cross-sectional median of professionals’ survey",
           "Market-price implied expectation",
           "Weighted mean of firms’ survey",
           "Target")
legv <- c('red', 'blue', 'green4', 'orange3', 'black')
linev <- c('solid', 'dotted', 'dashed', "dotdash", 'longdash')


# inflation target
target <- 0.05

# thickness of line
vline_w <- 0.6 # mm
# ticks
labs <- c(0, target, seq(target, 0.3, length.out = 6)[2:6])

# plot
plot <- create_plot(dtf_long, date_lb = as.Date("2015-01-01"),
                    vars = vars1, scales = 0) +
  theme(legend.position = c(0.27,0.8)) +
  geom_hline(aes(yintercept = target,
                 colour = "Target", linetype = "Target"),
             size = tfont(vline_w)) +
  scale_linetype_manual(breaks = breakss,
                        values = linev, labels = legs) +
  scale_colour_manual(breaks = breakss,
                      values = legv, labels = legs) +
  scale_y_continuous(limits = c(0, 0.3),
                     breaks = labs,
                     labels = scales::percent(labs, accuracy = 1))

print(plot)
if (bSavePlots) my_ggsave(paste0(path_figure_out, "figure_12_a.pdf"), plot)

```

## Subfigure 12(b): (b) Cross-sectional survey distribution

```{r fig_12_b}

# Forecast distribution

# CHOICE
###################################
ex <- 1 #1 or 2 years expectations
dater <- c(as.Date("2017-09-01"),
           as.Date("2019-09-01"),
           as.Date("2020-09-01"))
###################################
# END OF CHOICE

sc <- paste0("date|Ecpi", ex, "_p_") 

buckets <- c(1.5, seq(3.25, by = 0.5, length.out = ncol(x)-1))/100

dtf_temp <- dtf_long %>%
  filter(grepl(sc, variable), date %in% dater) %>%
  arrange(variable) %>%
  mutate(buck = rep(buckets,length(dater)),
         yr = factor(year(date),
                     levels = year(dater))
         )

plot <- ggplot(dtf_temp,
               aes(x = buck, y = value, fill = yr)) +
  geom_col(width = tfont(0.0045),
                  position = "dodge") +
  facet_wrap(. ~ yr) +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
  scale_x_continuous(labels = scales::percent(buckets[seq(1, length(buckets), by = 3)], accuracy = 1),
                     breaks = buckets[seq(1,length(buckets), by = 3)]
                    ) +
  scale_fill_manual(breaks = year(dater), values = c("red3","blue3","orange")) +
  theme(legend.position = c(0.4,0.85),
        axis.ticks.x = element_line(),
        axis.text.x = element_text(size = tfont(4)),
        strip.text.x = element_blank()
       )

print(plot)
if (bSavePlots) my_ggsave(paste0(path_figure_out, "figure_12_b.pdf"), plot)

```