Fertility Trends in European Countries

Agnieszka Palma

doi:10.18778/0208-6018.353.01

Authors

Agnieszka Palma University of Łódź, Faculty of Economics and Sociology, Department of Demography and Social Gerontology, Łódź, Poland https://orcid.org/0000-0002-3558-1568

DOI:

https://doi.org/10.18778/0208-6018.353.01

Keywords:

fertility rates, average parity, parity progression ratios, projected parity progression ratios

Abstract

This work is intended as an attempt to illustrate and compare the pattern of fertility in European countries: Belarus, Croatia, Hungary, Poland, Portugal, Spain, Sweden, and Switzerland. It deals with the analysis of fertility trends, with an emphasis on birth by parity. Using data from the Human Fertility Database (HFD) from the year 2016, it has considered the parameters of parity progression ratios (PPR), projected parity progression ratios (PPPR), age‑specific fertility rates (ASFR), age‑order specific fertility rates (AOSFR), and cumulated order‑specific fertility rates accordingly analysed. We have applied indicators known as the projected parity progression ratios to estimate trends of fertility. These offer a more detailed view of the family formation process than the traditional total fertility rate (TFR).

Downloads

Download data is not yet available.

References

Aoun S., Airey P. (1988), Illustrative application of the use of projected parity progression ratios for the analysis of fertility, London School of Hygiene Tropical Medicine, Centre for Population Studies, London.
Google Scholar

Bhardwaj S. B., Sharma G. C., Kumar A. (2010), Analysis of the Parity Progression Ratios, “Journal of Reliability and Statistical Studies”, vol. 3, no. 1, pp. 37–41.
Google Scholar

Billari F. C., Kohler H. (2004), Patterns of low and very low fertility in Europe, “Population Studies”, vol. 58, no. 2, pp. 161–176.
Google Scholar DOI: https://doi.org/10.1080/0032472042000213695

Brass W. (1985), Advances in Methods for Estimating Fertility and Mortality from Limited and Defective Data, London School of Hygiene and Tropical Medicine, Centre for Population Studies, London.
Google Scholar

Brass W., Juarez F. (1983), Censored cohort parity progression ratios from birth histories, “Asian Pacific Census Forum”, vol. 10, no. 1, pp. 5–13.
Google Scholar

Feeney G. (1983), Population Dynamics Based on Birth Intervals and Parity Progression, “Population Studies”, vol. 37, pp. 75–89.
Google Scholar DOI: https://doi.org/10.1080/00324728.1983.10405925

Feeney G., Jingyuan Y. (1987), Period parity progression measures of fertility in China, “Population Studies”, vol. 41, pp. 77–102.
Google Scholar DOI: https://doi.org/10.1080/0032472031000142546

Frejka T. (2008), Parity distribution and completed family size in Europe Incipient decline of the two-child family model, “Demographic Research”, vol. 19(14), pp. 4–72.
Google Scholar DOI: https://doi.org/10.4054/DemRes.2008.19.4

Henry L. (1980), Fertility of marriages: A new method of measurement, “Population Studies Translation Series”, no. 3, United Nations (French Edition Published in 1953).
Google Scholar

Islam M., Yadava C. (1997), On the estimation of parity progression ratio, “Sankhya”, vol. 58, series B, pp. 200–208.
Google Scholar

Kohler H., Billari F. C., Ortega J. A. (2002), The emergence of lowest‑low fertility in Europe during the 1990s, “Population and Development Review”, vol. 28(4), pp. 641–680.
Google Scholar DOI: https://doi.org/10.1111/j.1728-4457.2002.00641.x

Moultrie T., Dorrington R., Hill A., Hill K., Timaus I., Zaba B. (2013), Tools for demographic estimation, International Union for the Scientific Study of Population, Paris.
Google Scholar

Our World in Data, https://ourworldindata.org [accessed: 14.10.2020].
Google Scholar

Preston S. H., Heuveline P., Guillot M. (2001), Demography: Measuring and Modelling Population Processes, Blackwell, Oxford.
Google Scholar

Rodriguez G., Hobcraft J. (1980), Illustrative analysis: Life table analysis of birth intervals in Colombia, WFS Scientific Reports 16.
Google Scholar

Rossa A., Palma A. (2020), Predicting parity progression ratios for young women by the end of their childbearing life, “Statistics in Transition New Series”, vol. 21, no. 1, pp. 55–71.
Google Scholar DOI: https://doi.org/10.21307/stattrans-2020-004

Sloggett A., Brass W., Eldridge S. M., Timæus I. M. (1994), Estimation of Demographic Parameters from Census Data, Statistical Institute for Asia and the Pacific, Tokyo.
Google Scholar

The Human Fertility Database, http://www.humanfertility.org [accessed: 14.10.2020].
Google Scholar

Yadava R., Bhattcharya M. (1985), Estimation of parity progression ratios from closed and open birth interval data, Mimeo, Centre of Population Studies, Banaras Hindu University, Varanasi.
Google Scholar

Yadava R., Kumar A. (2011), On the estimation of parity progression ratios, “Journal of Scientific Research”, vol. 55, pp. 127–134.
Google Scholar

Yadava R., Pandey A., Saxena N. (1992), Estimation of parity progression ratios from the truncated distribution of closed and open birth intervals, “Mathematical Biosciences”, vol. 110, pp. 181–190.
Google Scholar DOI: https://doi.org/10.1016/0025-5564(92)90036-V