Phillips curves

Data - Eurostat

Author

Info

source	dataset	.html	.qmd	.RData
eurostat	nama_10_lp_ulc	[2024-11-05]	https://fgee	olf.com/data
eurostat	une_rt_a	[2024-10-09]	https://fgee	olf.com/data

Data on phillips curves

source	dataset	Title	Download	Compile
eurostat	phillips	Phillips curves	NA	[2024-11-01]
eurostat	tipsna62	Employees, domestic concept - annual data	2024-10-09	[2024-10-09]
fred	phillips	Phillips curves	2024-11-01	[2024-11-01]
gfd	phillips	Phillips curves	NA	[2023-04-10]
ilo	phillips	Phillips curves	NA	[2023-04-10]
oecd	phillips	Phillips curves	NA	[2024-09-15]
wdi	phillips	Phillips curves	NA	[2023-06-18]

LAST_COMPILE

LAST_COMPILE
2024-11-05

How much data ?

nama_10_lp_ulc - D1_SAL_PER

Code

nama_10_lp_ulc %>%
  filter(na_item == "D1_SAL_PER") %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  arrange(time) %>%
  summarise(Nobs = n(),
            first = first(time),
            last = last(time)) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

une_rt_a - Y20-64

Code

une_rt_a %>%
  filter(age == "Y20-64",
         sex == "T",
         unit == "PC_ACT") %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  arrange(time) %>%
  summarise(Nobs = n(),
            first = first(time),
            last = last(time)) %>%
  mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
         Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
  select(Flag, everything()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}

Labour productivity and unit labour costs, unemployment rate

Code

graph_phillips <- function(iso2c, xtick = 1, ytick = 2, position = c(0.2, 0.85)){
  nama_10_lp_ulc %>%
  filter(geo == iso2c,
         na_item == "D1_SAL_PER",
         unit == "EUR") %>%
  select(geo, time, D1_SAL_PER = values) %>%
  left_join(une_rt_a %>%
              filter(age == "Y20-64",
                     sex == "T",
                     unit == "PC_ACT") %>%
              select(geo, time, unr = values),
            by = c("geo", "time")) %>%
  year_to_date %>%
  #group_by(geo) %>%
  arrange(date) %>%
  transmute(date, 
            D1_SAL_PER_d1 = D1_SAL_PER / lag(D1_SAL_PER, 1) - 1,
            unr = unr/100) %>%
  na.omit %>%
  gather(variable, value, -date) %>%
  mutate(Variable = case_when(variable == "D1_SAL_PER_d1" ~ "Wage Inflation (%)",
                              variable == "unr" ~ "Unemployment Rate (%)")) %>%
  ggplot + geom_line() + theme_minimal()  +
  aes(x = date, y = value, color = Variable) +
  geom_hline(yintercept = 0, linetype = "dashed",  color = "black") +
  scale_x_date(breaks = as.Date(paste0(seq(1960, 2024, xtick), "-01-01")),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(-100, 100, ytick),
                     labels = percent_format(accuracy = 1)) +
  theme(legend.position = position,
        legend.title = element_blank()) +
  xlab("") + ylab("Unemployment Rate, Wage Inflation (%)")
}

Austria

Code

graph_phillips("AT", ytick = 1)

Belgium

Code

graph_phillips("BE", ytick = 2, position = c(0.8, 0.85))

Bulgaria

Code

graph_phillips("BG", ytick = 2, position = c(0.8, 0.85))

Switzerland

Code

graph_phillips("CH", ytick = 2, position = c(0.8, 0.85))

Cyprus

Code

graph_phillips("CY", ytick = 2, position = c(0.2, 0.85))

Czechia

Code

graph_phillips("CZ", ytick = 2, position = c(0.8, 0.85))

Germany

Code

graph_phillips("DE", ytick = 2, position = c(0.8, 0.85))

Denmark

Code

graph_phillips("DK", ytick = 2, position = c(0.8, 0.85))

Europe - EA19

Code

graph_phillips("EA19", ytick = 2, position = c(0.8, 0.85))

Europe - EU15

Code

graph_phillips("EU15", ytick = 2, position = c(0.4, 0.85))

Estonia

Code

graph_phillips("EE", ytick = 2, position = c(0.8, 0.85))

Greece

Code

graph_phillips("EL", ytick = 5)

Spain

Code

graph_phillips("ES", ytick = 2, position = c(0.2, 0.9))

Finland

Code

graph_phillips("FI", ytick = 2, position = c(0.8, 0.9))

France

Code

graph_phillips("FR", ytick = 2, position = c(0.2, 0.1))

Croatia

Code

graph_phillips("HR", ytick = 2, position = c(0.2, 0.1))

Hungary

Code

graph_phillips("HU", ytick = 2, position = c(0.2, 0.1))

Ireland

Code

graph_phillips("IE", ytick = 2, position = c(0.2, 0.1))

Iceland

Code

graph_phillips("IS", ytick = 2, position = c(0.2, 0.1))

Italy

Code

graph_phillips("IT", ytick = 2, position = c(0.2, 0.1))

Lithuania

Code

graph_phillips("LT", ytick = 2, position = c(0.2, 0.1))

Luxembourg

Code

graph_phillips("LU", ytick = 1, position = c(0.2, 0.1))

Latvia

Code

graph_phillips("LV", ytick = 1, position = c(0.2, 0.1))

Malta

Code

graph_phillips("MT", ytick = 1, position = c(0.8, 0.8))

Netherlands

Code

graph_phillips("NL", ytick = 1, position = c(0.8, 0.8))

Norway

Code

graph_phillips("NO", ytick = 1, position = c(0.8, 0.8))

Poland

Code

graph_phillips("PL", ytick = 1, position = c(0.8, 0.8))

Portugal

Code

graph_phillips("PT", ytick = 1, position = c(0.8, 0.8))

Romania

Code

graph_phillips("RO", ytick = 5, position = c(0.8, 0.8))

Sweden

Code

graph_phillips("SE", ytick = 5, position = c(0.8, 0.8))

Slovenia

Code

graph_phillips("SI", ytick = 1, position = c(0.8, 0.8))

Slovakia

Code

graph_phillips("SK", ytick = 1, position = c(0.8, 0.8))

United Kingdom

Code

#graph_phillips("UK", ytick = 1, position = c(0.8, 0.8))