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Integrating macro- and micro-level approaches in the explanation of population change

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  • Francesco C. Billari

Abstract

Demographers study population change across time and place, and traditionally they place a strong emphasis on a long-range view of population change. This paper builds on current reflections on how to structure the study of population change and proposes a two-stage perspective. The first stage, discovery, focuses on the production of novel evidence at the population level. The second stage, explanation, develops accounts of demographic change and tests how the action and interaction of individuals generate what is discovered in the first stage. This explanatory stage also provides the foundation for the prediction of demographic change. The transformation of micro-level actions and interactions into macro-level population outcomes is identified as a key challenge for the second stage. Specific instances of research are discussed.

Suggested Citation

  • Francesco C. Billari, 2015. "Integrating macro- and micro-level approaches in the explanation of population change," Population Studies, Taylor & Francis Journals, vol. 69(sup1), pages 11-20, April.
    • Handle: RePEc:taf:rpstxx:v:69:y:2015:i:sup1:p:s11-s20
    DOI: 10.1080/00324728.2015.1009712
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    1. Courgeau, Daniel & Lelievre, Eva, 1993. "Event History Analysis in Demography," OUP Catalogue, Oxford University Press, number 9780198287384.
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    Cited by:

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    12. Hudde, Ansgar, 2016. "Fertility Is Low When There Is No Societal Agreement on a Specific Gender Role Model," EconStor Preprints 142175, ZBW - Leibniz Information Centre for Economics.
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    14. Felix C. Tropf & Jornt J. Mandemakers, 2017. "Is the Association Between Education and Fertility Postponement Causal? The Role of Family Background Factors," Demography, Springer;Population Association of America (PAA), vol. 54(1), pages 71-91, February.
    15. Daniel T. Lichter & Domenico Parisi & Shrinidhi Ambinakudige, 2020. "The Spatial Integration of Immigrants in Europe: A Cross-National Study," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 39(3), pages 465-491, June.
    16. Elizabeth Thomson & Maria Winkler-Dworak & Éva Beaujouan, 2019. "Contribution of the Rise in Cohabiting Parenthood to Family Instability: Cohort Change in Italy, Great Britain, and Scandinavia," Demography, Springer;Population Association of America (PAA), vol. 56(6), pages 2063-2082, December.
    17. Jesus Rodrigo-Comino & Gianluca Egidi & Luca Salvati & Giovanni Quaranta & Rosanna Salvia & Antonio Gimenez-Morera, 2021. "High-to-Low (Regional) Fertility Transitions in a Peripheral European Country: The Contribution of Exploratory Time Series Analysis," Data, MDPI, vol. 6(2), pages 1-14, February.
    18. Marco Civico, 2019. "The Dynamics of Language Minorities: Evidence from an Agent-Based Model of Language Contact," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 22(4), pages 1-3.
    19. Tropf, Felix C & Mandemakers, Jornt J, 2017. "Is the Association Between Education and Fertility Postponement Causal? The Role of Family Background Factors," OSF Preprints dqrrx, Center for Open Science.
    20. Raffaele Guetto & Fabrizio Bernardi & Francesca Zanasi, 2022. "Parental education, divorce, and children’s educational attainment: Evidence from a comparative analysis," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(3), pages 65-96.
    21. Bijlsma, Maarten J. & Wilson, Ben, 2020. "Modelling the socio-economic determinants of fertility: a mediation analysis using the parametric g-formula," LSE Research Online Documents on Economics 102414, London School of Economics and Political Science, LSE Library.
    22. Dirk Witteveen & Johan Westerman, 2023. "Structural Change Shapes Career Mobility Opportunities: An Analysis of Cohorts, Gender and Parental Class," Work, Employment & Society, British Sociological Association, vol. 37(1), pages 97-116, February.

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