Call for Papers - Methods for modelling and understanding population changes

Guest Editors:
●    Andrea Nigri (andrea.nigri@unibocconi.it), Bocconi University, Italy.
●    Susanna Levantesi (susanna.levantesi@uniroma1.it), Sapienza University of Rome, Italy.
●    Marco Bonetti (marco.bonetti@unibocconi.it), Bocconi University, Italy.

The journal Quality and Quantity: International Journal of Methodology invites contributions to a special issue devoted to collecting articles on cutting-edge research questions related to the measurement of population changes.

Modern society consistently faces the impact of social and population changes, which are often difficult to anticipate and represent a real challenge for governments and policymakers. Indeed, important policy decisions found on the reliable forecast of population change, social security schemes, and public policies are prime examples. Official population estimates are used to determine future pension, healthcare capacity, and other social needs. For instance, an increase in life expectancy by a few years can raise the number of elderly, who are the main recipients of these needs, showing different timing between developed and developing countries.

Advances in statistical and mathematical modelling, based on a data-driven process that exploits a collection of high-dimensional data, can enhance decision-making processes to face impending demographic changes in both the long and short term.

This special issue aims to collate articles on cutting-edge research questions related to the measurement of population changes. Topics to be covered include but are not limited to statistical methods for modelling and forecasting demographic changes, measuring population health inequality, statistical advances pertaining to measurements of well-being. For submitted papers, reproducible applications with open coding are recommended.

For this special issue we seek substantive and methodological papers that focus on the following four main topics:

  1. Statistical methods and mathematical tools for modelling and forecasting demographic changes: mortality forecasting, fertility forecasting, population projections. 
  2. Measuring population health inequality: interest in health conditions, population ageing, demographic and socioeconomic differences among health profiles. 
  3. Big data and data sources for digital and computational demography.
  4. Statistical advances for well-being measurements: poverty measurements, spatial analysis of competitiveness, and measures of well-being and quality of life.

The deadline for submission of a full paper is 31 January 2023.

To submit a paper, please prepare the manuscript according to the Q&Q journal rules and upload it via the online editorial manager system (editorialmanager.com/ququ/default.aspx). In addition, please send the basic information about your submission including the title of the paper, names and affiliations of all authors and abstract to (andrea.nigri@unibocconi.it) via email.

All manuscripts received for this Special Issue will be subject to the usual procedure of double anonymous review and to the guest editors’ review. An invitation to submit a paper to this Special Issue does not imply automatic acceptance for publication. Some submissions are likely to be rejected.