Search

This paper reviews research on education and childbearing in Europe over the last decade. Early demographic research attributed declining fertility in advanced economies in the second half of the twentieth century to increasing female educational levels. The twenty-first century has witnessed further increases in educational attainment coupled with trend reversals in fertility. The relationship between education and fertility has become more complex, sparking renewed interest in the interplay between the two life domains. We examine how educational enrolment and attainment influence individuals' fertility behaviour - both fertility timing and level - and how the relationship between education and fertility is shaped by contextual factors such as family policies, macroeconomic shocks, and normative changes in gender attitudes. We also summarise the recent literature on educational gradients in male fertility and review methodological developments to address issues of self-selection and unmeasured heterogeneity in the study of education and fertility. Finally, this paper identifies and discusses challenges and important areas for future research. [ABSTRACT FROM AUTHOR]

Comparative analyses frequently examine respondents' self-rated health (SRH), assuming that it is a valid and comparable measure of generic health. However, given SRH's vagueness, this assumption is questionable due to (1) manifold nonhealth influences, such as personal characteristics including optimism, interviewer effects on the rating, and cultural contexts, as well as (2) potential gender, age-or country-specific expectations for one's health or frames of reference. Conceptually, two major components of SRH can be distinguished: latent health and reporting behavior. While latent health exclusively refers to objective health status, reporting behavior collectively refers to non-health characteristics (NH) affecting SRH. The present paper is primarily concerned with the latter and aims to identify whether and how NH bias SRH, including possible differences by gender, age, and country of residence. The presented analyses are based on data from 16,183 participants in five countries drawn from the fifth wave of the Survey of Health, Ageing and Retirement in Europe (SHARE). Latent health is controlled via a wide array of health indicators and the residuals are examined with a model covering NH from three different sources: the interviewer, the respondent, and the country of residence. To identify subgroup-specific response behaviors, all analyses are carried out separately by gender, three age groups (50-64, 65-79, and 80+ years), and country of residence. The analyses uncovered influences of - among others-the interviewer's SRH, the respondent's life satisfaction, and the country of residence on SRH, while other factors differed by subgroup. The amount of explained variance due to such reporting behavior (with a mean of seven percent) can be deemed meaningful, considering that controlling for latent health already explains around half of SRH's variance. The greatest source of non-health influences was respondent characteristics, with the interviewer and country having smaller effects. These results illustrate the importance of taking NH into account when using SRH measures. Future research on complementing SRH with factual questions in survey design is advisable. [ABSTRACT FROM AUTHOR]