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Indicators/KOF_Jobroom/Monitoringevaluation der Stellenmeldepflicht I.pdf
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# ************************************************************************ | ||
# KOF Jobroom ---- | ||
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||
# URL: | ||
# URL: https://www.job-room.ch/home/job-seeker | ||
# | ||
# Feel free to copy, adapt, and use this code for your own purposes at | ||
# your own risk. | ||
# | ||
# Matthias Spichiger, 2023 ([email protected]) | ||
# ************************************************************************ | ||
|
||
## Load packages ---- | ||
library(tidyverse) | ||
library(xts) | ||
library(tsbox) | ||
library(kofdata) | ||
library(ggtext) | ||
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||
## Access the data ---- | ||
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list_keys_in_collection(collectionname = "ch.seco.jobroom") | ||
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# available by cantons or total (tot) | ||
cantons(full = FALSE) | ||
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# ch.seco.jobroom.candidates.immediate.[canton] | ||
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# ch.seco.jobroom.candidates.tot.[canton] | ||
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# ch.seco.jobroom.vacancies.[canton] | ||
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# ch.seco.jobroom.candidates_rate | ||
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# ch.seco.jobroom.predicted_unemprate | ||
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# | ||
#### Total | ||
seco.jobroom.cand.imm.tot <- get_time_series(ts_keys = "ch.seco.jobroom.candidates.immediate.tot") | ||
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seco.jobroom.cand.imm.tot <- ts( | ||
start = c(2019) | ||
) | ||
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plot(seco.jobroom.cand.imm.tot) | ||
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# END |
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...btracker/Swiss Job Tracker - New Weekly Indices of Online Job Postings in Switzerland.pdf
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# ************************************************************************ | ||
# KOF Tourism Forecasts ---- | ||
# URL: https://kof.ethz.ch/en/forecasts-and-indicators/forecasts/kof-forecasts-of-tourism-in-switzerland.html | ||
# Feel free to copy, adapt, and use this code for your own purposes at | ||
# your own risk. | ||
# | ||
# Matthias Spichiger, 2023 ([email protected]) | ||
# ************************************************************************ | ||
## Load packages ---- | ||
library(tidyverse) | ||
library(tsbox) | ||
library(kofdata) | ||
library(ggtext) | ||
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# URL: | ||
## Access the data ---- | ||
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### Total ---- | ||
# ch.kof.trsm.fcst.year KOF Tourism Forecast Total Year | ||
list_keys_in_collection(collectionname = "ch.kof.trsm.fcst.year") | ||
# ch.kof.trsm.fcst.ty.l.all.alpin.lg ch.kof.trsm.fcst.ty.l.all.ch.lg | ||
# ch.kof.trsm.fcst.ty.l.all.city.lg ch.kof.trsm.fcst.ty.l.all.rest.lg | ||
# ch.kof.trsm.fcst.ty.l.che.ch.lg ch.kof.trsm.fcst.ty.l.chn.ch.lg | ||
# ch.kof.trsm.fcst.ty.l.deu.ch.lg ch.kof.trsm.fcst.ty.l.for.ch.lg | ||
# ch.kof.trsm.fcst.ty.l.fra.ch.lg ch.kof.trsm.fcst.ty.l.ita.ch.lg | ||
# ch.kof.trsm.fcst.ty.l.rest.ch.lg ch.kof.trsm.fcst.ty.l.usa.ch.lg | ||
kof_trsm_fcst.ty.l.all.ch.lg <- get_time_series(ts_keys = "ch.kof.trsm.fcst.ty.l.all.ch.lg") | ||
kof_trsm_fcst.ty.l.all.ch.lg <- ts( | ||
data = kof_trsm_fcst.ty.l.all.ch.lg$ch.kof.trsm.fcst.ty.l.all.ch.lg, | ||
start = c(2006), | ||
frequency = 1 | ||
) | ||
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plot(kof_trsm_fcst.ty.l.all.ch.lg) | ||
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### Summer season ---- | ||
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# ch.kof.trsm.fcst.summer KOF Tourism Forecast Summer Season | ||
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list_keys_in_collection(collectionname = "ch.kof.trsm.fcst.summer") | ||
# ch.kof.trsm.fcst.ss.l.all.alpin.lg ch.kof.trsm.fcst.ss.l.all.ch.lg | ||
# ch.kof.trsm.fcst.ss.l.all.city.lg ch.kof.trsm.fcst.ss.l.all.rest.lg | ||
# ch.kof.trsm.fcst.ss.l.che.ch.lg ch.kof.trsm.fcst.ss.l.chn.ch.lg | ||
# ch.kof.trsm.fcst.ss.l.deu.ch.lg ch.kof.trsm.fcst.ss.l.for.ch.lg | ||
# ch.kof.trsm.fcst.ss.l.fra.ch.lg ch.kof.trsm.fcst.ss.l.ita.ch.lg | ||
# ch.kof.trsm.fcst.ss.l.rest.ch.lg ch.kof.trsm.fcst.ss.l.usa.ch.lg | ||
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### Winter season ---- | ||
# ch.kof.trsm.fcst.winter KOF Tourism Forecast Winter Season | ||
# ch.kof.trsm.fcst.year KOF Tourism Forecast Total Year | ||
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list_keys_in_collection(collectionname = "ch.kof.trsm.fcst.winter") | ||
# ch.kof.trsm.fcst.ws.l.all.alpin.lg ch.kof.trsm.fcst.ws.l.all.ch.lg | ||
# ch.kof.trsm.fcst.ws.l.all.city.lg ch.kof.trsm.fcst.ws.l.all.rest.lg | ||
# ch.kof.trsm.fcst.ws.l.che.ch.lg ch.kof.trsm.fcst.ws.l.chn.ch.lg | ||
# ch.kof.trsm.fcst.ws.l.deu.ch.lg ch.kof.trsm.fcst.ws.l.for.ch.lg | ||
# ch.kof.trsm.fcst.ws.l.fra.ch.lg ch.kof.trsm.fcst.ws.l.ita.ch.lg | ||
# ch.kof.trsm.fcst.ws.l.rest.ch.lg ch.kof.trsm.fcst.ws.l.usa.ch.lg | ||
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# END |
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# ************************************************************************ | ||
# KOF Economic Forecasts ----- | ||
# URL: https://kof.ethz.ch/en/forecasts-and-indicators/forecasts/kof-economic-forecast.html | ||
# Feel free to copy, adapt, and use this code for your own purposes at | ||
# your own risk. | ||
# | ||
# Matthias Spichiger, 2023 ([email protected]) | ||
# ************************************************************************ | ||
|
||
## Load packages ---- | ||
library(tidyverse) | ||
library(tsbox) | ||
library(kofdata) | ||
library(ggtext) | ||
library(readxl) | ||
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## Access the data ---- | ||
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kof_ec_fcst_url <- "https://datenservice.kof.ethz.ch/api/v1/public/sets/vja_public?mime=xlsx" | ||
download.file(url = kof_ec_fcst_url, destfile = "KOF_Economic_Forecasts/KOF_Economic_Forecasts.xlsx", method = "curl") | ||
kof_ec_fcst <- readxl::read_excel(path = "KOF_Economic_Forecasts/KOF_Economic_Forecasts.xlsx") | ||
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names(kof_ec_fcst) | ||
# date" | ||
# ch.kof.vja.bau.mfh_nom | ||
# ch.kof.vja.bau.mfh_real | ||
# ch.kof.vja.fx.chf_reer | ||
# ch.kof.vja.koma.consg | ||
# ch.kof.vja.koma.consp | ||
# ch.kof.vja.koma.constot | ||
# ch.kof.vja.koma.domdem | ||
# ch.kof.vja.koma.domdem2 | ||
# ch.kof.vja.koma.domdemoi | ||
# ch.kof.vja.koma.ebsc | ||
# ch.kof.vja.koma.ebsp | ||
# ch.kof.vja.koma.et | ||
# ch.kof.vja.koma.exc1 | ||
# ch.kof.vja.koma.exc2 | ||
# ch.kof.vja.koma.excm | ||
# ch.kof.vja.koma.exs | ||
# ch.kof.vja.koma.exst | ||
# ch.kof.vja.koma.ext | ||
# ch.kof.vja.koma.extot1 | ||
# ch.kof.vja.koma.extot2 | ||
# ch.kof.vja.koma.gdp | ||
# ch.kof.vja.koma.gdpos | ||
# ch.kof.vja.koma.icinfrar | ||
# ch.kof.vja.koma.icnstr | ||
# ch.kof.vja.koma.ictraf | ||
# ch.kof.vja.koma.ifix | ||
# ch.kof.vja.koma.iinv1 | ||
# ch.kof.vja.koma.imc1 | ||
# ch.kof.vja.koma.imc2 | ||
# ch.kof.vja.koma.ime | ||
# ch.kof.vja.koma.ims | ||
# ch.kof.vja.koma.imst | ||
# ch.kof.vja.koma.imt | ||
# ch.kof.vja.koma.imtot1 | ||
# ch.kof.vja.koma.imtot2 | ||
# ch.kof.vja.koma.lfpot | ||
# ch.kof.vja.koma.lprodh | ||
# ch.kof.vja.koma.lprodos | ||
# ch.kof.vja.koma.ltot | ||
# ch.kof.vja.koma.ltoth | ||
# ch.kof.vja.koma.ltotv | ||
# ch.kof.vja.koma.nconsg | ||
# ch.kof.vja.koma.nconsp | ||
#ch.kof.vja.koma.nconstot | ||
# ch.kof.vja.koma.ndomdem | ||
# ch.kof.vja.koma.ndomdem2 | ||
# ch.kof.vja.koma.ndomdemoi | ||
# ch.kof.vja.koma.nexc1 | ||
# ch.kof.vja.koma.nexc2 | ||
# ch.kof.vja.koma.nexcm | ||
# ch.kof.vja.koma.nexs | ||
# ch.kof.vja.koma.nexst | ||
# ch.kof.vja.koma.next | ||
# ch.kof.vja.koma.nextot1 | ||
# ch.kof.vja.koma.nextot2 | ||
# ch.kof.vja.koma.ngdp | ||
# ch.kof.vja.koma.ngdpos | ||
# ch.kof.vja.koma.nicnstr | ||
# ch.kof.vja.koma.nifix | ||
# ch.kof.vja.koma.niinv1 | ||
# ch.kof.vja.koma.niival | ||
# ch.kof.vja.koma.nimc1 | ||
# ch.kof.vja.koma.nimc2 | ||
# ch.kof.vja.koma.nime | ||
# ch.kof.vja.koma.nims | ||
# ch.kof.vja.koma.nimst | ||
# ch.kof.vja.koma.nimt | ||
# ch.kof.vja.koma.nimtot1 | ||
# ch.kof.vja.koma.nimtot2 | ||
# ch.kof.vja.koma.ntotdem | ||
# ch.kof.vja.koma.ntotdem2 | ||
# ch.kof.vja.koma.pconsg | ||
# ch.kof.vja.koma.pconsp | ||
# ch.kof.vja.koma.pconstot | ||
# ch.kof.vja.koma.pdomdem | ||
# ch.kof.vja.koma.pdomdem2 | ||
# ch.kof.vja.koma.pdomdemoi | ||
# ch.kof.vja.koma.pexc1 | ||
# ch.kof.vja.koma.pexc2 | ||
# ch.kof.vja.koma.pexcm | ||
# ch.kof.vja.koma.pexs | ||
# ch.kof.vja.koma.pexst | ||
# ch.kof.vja.koma.pext | ||
# ch.kof.vja.koma.pextot1 | ||
# ch.kof.vja.koma.pextot2 | ||
# ch.kof.vja.koma.pgdp | ||
# ch.kof.vja.koma.pgdpos | ||
# ch.kof.vja.koma.picnstr | ||
# ch.kof.vja.koma.pifix | ||
# ch.kof.vja.koma.pimc1 | ||
# ch.kof.vja.koma.pimc2 | ||
# ch.kof.vja.koma.pime | ||
# ch.kof.vja.koma.pims | ||
# ch.kof.vja.koma.pimst | ||
# ch.kof.vja.koma.pimt | ||
# ch.kof.vja.koma.pimtot1 | ||
# ch.kof.vja.koma.pimtot2 | ||
# ch.kof.vja.koma.pop | ||
# ch.kof.vja.koma.ptotdem | ||
# ch.kof.vja.koma.ptotdem2 | ||
# ch.kof.vja.koma.savpfund | ||
# ch.kof.vja.koma.totdem | ||
# ch.kof.vja.koma.totdem2 | ||
# ch.kof.vja.koma.urilo | ||
# ch.kof.vja.koma.uroff | ||
# ch.kof.vja.koma.vasport | ||
# ch.kof.vja.koma.wage | ||
# ch.kof.vja.koma.winc | ||
# [110] "ch.kof.vja.koma.ydispb | ||
# [111] "ch.kof.vja.konsum.p31fc10_unterrichtswesen | ||
# [112] "ch.kof.vja.konsum.p31fc11_restaurants_und_hotels | ||
# [113] "ch.kof.vja.konsum.p31fc12_sonstige_waren_und_dienstleistungen | ||
# [114] "ch.kof.vja.konsum.p31fc1_p31fc2_nahrungsmittel_und_getraenke | ||
# [115] "ch.kof.vja.konsum.p31fc3_bekleidung_und_schuhe | ||
# [116] "ch.kof.vja.konsum.p31fc4_wohnung_wasser_strom_gas | ||
# [117] "ch.kof.vja.konsum.p31fc5_moebel_innenausstattung_haushaltsgeraete | ||
# ch.kof.vja.konsum.p31fc6_gesundheitspflege | ||
# ch.kof.vja.konsum.p31fc7_verkehr | ||
# ch.kof.vja.konsum.p31fc8_nachrichtenuebermittlung | ||
# ch.kof.vja.konsum.p31fc9_freizeit_und_kultur | ||
# ch.kof.vja.lik.cpi | ||
# ch.kof.vja.lik.cpi_dom | ||
# ch.kof.vja.lik.cpi_domg | ||
# ch.kof.vja.lik.cpi_doms | ||
# ch.kof.vja.lik.cpi_domspri | ||
# ch.kof.vja.lik.cpi_domspub | ||
# ch.kof.vja.lik.cpi_domsren | ||
# ch.kof.vja.lik.cpi_im | ||
# ch.kof.vja.lik.lrate | ||
# ch.kof.vja.lik.srate | ||
# ch.kof.vja.saldi.saldo_arbeitseinkommen | ||
# ch.kof.vja.saldi.saldo_kapitaleinkommen | ||
# ch.kof.vja.saldi.sekundaereinkommen | ||
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# END |
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# ************************************************************************ | ||
# KOF Monetary Policy Communicator ---- | ||
# URL: https://kof.ethz.ch/en/forecasts-and-indicators/indicators/kof-monetary-policy-communicator.html | ||
# Feel free to copy, adapt, and use this code for your own purposes at | ||
# your own risk. | ||
# | ||
# Matthias Spichiger, 2023 ([email protected]) | ||
# ************************************************************************ | ||
|
||
## Load packages ---- | ||
library(tidyverse) | ||
library(tsbox) | ||
library(kofdata) | ||
library(ggtext) | ||
library(readxl) | ||
library(eurostat) | ||
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## Access the data ---- | ||
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### KOF Monetary Policy Communicator ---- | ||
kof_mpc_url <- "https://datenservice.kof.ethz.ch/api/v1/public/ts?keys=ch.kof.mpc&mime=xlsx&df=YYYY-MM-DD" | ||
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download.file(url = kof_mpc_url, destfile = "KOF_MPC/KOF_MPC.xlsx", method = "curl") | ||
kof_mpc <- readxl::read_excel(path = "KOF_MPC/KOF_MPC.xlsx") | ||
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### ECB Main Refinancing Rate ---- | ||
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eurostat::search_eurostat(pattern = "marginal lending facility") | ||
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ecb_mrr <- get_eurostat(id = "teibs010", time_format = "date", select_time = "M", | ||
sinceTimePeriod = "1990-01-01") | ||
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## Plot the data ---- | ||
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kof_mpc |> | ||
mutate(date = ymd(date)) |> | ||
rename(time = date, value = ch.kof.mpc) |> | ||
ggplot(mapping = aes(x = time, y = value)) + | ||
geom_line(linewidth = 1, color = "black") + | ||
geom_hline(yintercept = 0, color = "black", linetype = "dashed", show.legend = FALSE) + | ||
scale_x_date(date_breaks = "1 year", date_labels = "%y") + | ||
scale_y_continuous(limits = c(-1, 1)) + | ||
labs( | ||
title = "KOF monetary policy communicator", | ||
subtitle = "", | ||
caption = "Graph created by @econmaett with data from KOF.", | ||
x = "", y = "" | ||
) + | ||
theme_bw() | ||
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# END |
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