The Fertility Assumptions for the Population Projection of the Czech Republic of the Czech Statistical Office from 2023

This paper introduces the methodology used to estimate the fertility parameters for the population projection of the Czech Republic for 2023–2050. Elements of methodology discussed here include the assumptions, input and output data, and the details of the computations and estimations. The analysis focus on the birth order dimension, cohort perspective, and high and low estimation variants. The paper further compares the estimated summary fertility indicators with past projections by the Czech Statistical Office, as well as with recent projections by other agencies.

Authors

Institutions

Publication Details

Journal
Demografie
Published
2024-12-01
DOI
https://doi.org/10.54694/dem.0354
Citations
1
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Fertility Assumptions for the Population Projection of the Czech Republic of the Czech Statistical Office from 2023

Kryštof Zeman
1 citations
Demografie
Insurance, Mortality, Demography, Risk Management
article

The Fertility Assumptions for the Population Projection of the Czech Republic of the Czech Statistical Office from 2023

Kryštof Zeman
article en
1 citations

Abstract

This paper introduces the methodology used to estimate the fertility parameters for the population projection of the Czech Republic for 2023–2050. Elements of methodology discussed here include the assumptions, input and output data, and the details of the computations and estimations. The analysis focus on the birth order dimension, cohort perspective, and high and low estimation variants. The paper further compares the estimated summary fertility indicators with past projections by the Czech Statistical Office, as well as with recent projections by other agencies.

DemografieVol. 66(4)
Vienna Institute of Demography (AT)
Zero hunger
Openalex Percentile: Top 57%
Insurance, Mortality, Demography, Risk Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.