czechia: Czech quarterly macroeconomic dataset

In qpmR: Quarterly Projection Models for Monetary Policy Analysis

Czech quarterly macroeconomic dataset

Description

Quarterly data for Czechia, 1996Q1 onward, in the units and sign conventions of the qpm_template() model, ready for qpm_filter(). Czechia is the canonical FPAS economy: a small open inflation targeter (since 1998) with three decades of clean data, a large disinflation, a currency-crisis start, the GFC, a floor episode, COVID, and the 2022 inflation wave.

Usage

czechia

Format

A data frame with one row per quarter and columns:

period

Quarter label, "1996-Q1" style.

pi

CPI inflation, QoQ annualised percent, seasonally adjusted with stats::stl() on the quarterly log index.

pi4

CPI inflation, year on year percent (no adjustment needed).

i

3-month PRIBOR, percent p.a., quarterly average – a proxy for the CNB policy rate.

q

Real CZK/EUR exchange rate, 100 times log, CPI-based, normalized so the 2015 average is zero; an increase is a real depreciation of the koruna.

dy_obs

Real GDP growth, QoQ annualised percent, from seasonally and calendar adjusted chain-linked volumes.

istar

3-month EURIBOR, percent p.a., quarterly average.

pistar

Euro-area HICP inflation, year on year percent.

Details

Missing values are genuine ragged edges (e.g. the euro exists only from 1999, so q, istar start later); qpm_filter() handles them. Observe pi4 or pi, not both – they are linked by an identity and the filter will report the collinearity.

Source

Compiled by data-raw/czechia.R from FRED series CLVMNACSCAB1GQCZ (Eurostat national accounts), CZECPIALLMINMEI, IR3TIB01CZM156N, IR3TIB01EZM156N (OECD Main Economic Indicators), CP0000EZ19M086NEST (Eurostat HICP), and the ECB reference exchange rate EXR/Q.CZK.EUR.SP00.A. Retrieved 2026-08-22.

Examples

head(czechia)
m <- qpm_calibrate(qpm_template("bkl", trends = "rw"),
                   pi_tar = 2, istar_ss = 2, pistar_ss = 2, prem_ss = 1)
cz <- czechia[czechia$period >= "1999",
              c("period", "pi4", "i", "q", "dy_obs", "istar", "pistar")]
fit <- qpm_filter(m, cz)
fit

qpmR documentation built on Sept. 29, 2026, 5:10 p.m.