Volume 41 - Article 41 | Pages 1197–1204  

Editorial: The past, present, and future of Demographic Research

By Griffith Feeney, Nico Keilman, Carl Schmertmann, Jakub Bijak

Abstract

Contribution: As Demographic Research reaches 20 years of activity, encapsulated in 40 volumes freely accessible online, four of the editors who have led the journal during the period 1999–2019 reflect on its past, present, and future. The journal is a source of deep pride and passion, which we hope is shared by our whole community of readers, authors, reviewers, and editors. As we prepare for the next 20 years of this fascinating journey with Demographic Research, we look at the elements which have made the journal what it is today, and we consider how to meet the challenges of the future. We only deeply regret that the late Professor Jan M. Hoem (editor in 1999–2006) could not join us in this editorial endeavour.

Author's Affiliation

• Griffith Feeney - Independent researcher, International EMAIL
• Nico Keilman - Universitetet i Oslo, Norway EMAIL
• Carl Schmertmann - Florida State University, United States of America EMAIL
• Jakub Bijak - University of Southampton, United Kingdom EMAIL

Other articles by the same author/authors in Demographic Research

D-splines: Estimating rate schedules using high-dimensional splines with empirical demographic penalties
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Revivorship and life lost to mortality
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Mortality shifts and mortality compression in period and cohort life tables
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Editorial: P-values, theory, replicability, and rigour
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Quantifying paradigm change in demography
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Integrating uncertainty in time series population forecasts: An illustration using a simple projection model
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Reforging the Wedding Ring: Exploring a Semi-Artificial Model of Population for the United Kingdom with Gaussian process emulators
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Probabilistic household forecasts based on register data- the case of Denmark and Finland
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Stationary populations with below-replacement fertility
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An editorial on plagiarism
Volume 24 - Article 17

Increments to life and mortality tempo
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Quadratic spline fits by nonlinear least squares
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A system of model fertility schedules with graphically intuitive parameters
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Why population forecasts should be probabilistic - illustrated by the case of Norway
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Estimating Parametric Fertility Models with Open Birth Interval Data
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