Video

Speaker: Stefani Scherer University of Trento
Employment remains among the most important factors to protect individuals and their families from economic poverty. However, recent years have witnessed an alarming increase of in-work poverty (IWP), thus of being poor notwithstanding employment.

Speaker: Alicia Adsera, Princeton School of Public and Social Affairs

Married men earn more than single men do, while married women work less than single women do. Whether the differences arise from selection (those with more potential earnings are more likely to marry) or from specialization (within marriage, men specialize in labor market skills) has been long debated. Are those cohabiting working and earning more like married or single individuals? How does the presence of children explain these differences?

Speaker: Paweł Bukowski, London School of Economics and Political Science
Presentation based on paper joint with Gregory Clark, Attila Gaspar and Rita Peto.
In this study, social mobility rates in Hungary 1949-2017, for upper class and underclass families were measure, using surnames to measure social status.

Speaker: Lucas van der Velde, Warsaw School of Economics
How does extending family influence attitudes and behaviour? Does it make people more conservative?

Speaker: Andre Grow, Max Planck Institute for Demographic Research
An increasing number of scholars advocate the use of Facebook’s advertising platform to recruit participants for survey research. This approach has been applied in the context of both surveys of the general population and surveys of hard-to-reach subpopulations. In this presentation, I will discuss this new approach to respondent recruitment in some detail, focusing on advantages, challenges, and practical considerations.

Speaker:
Daniele Vignoli, University of Florence
The sociological and demographic literatures have widely demonstrated that fertility decisions are constrained by individuals’ previous life experiences and socioeconomic status – the “shadow of the past”. However, rising uncertainty in contemporary societies necessitates an analytical framework that acknowledges the influence of the future in the fertility decision-making process.

Speaker: Paola Profeta, Director, Msc Politics and Policy Analysis, Bocconi University; Director, AXA Research Lab on Gender EqualityPresident, European Public Choice Society
Does removing the constraints of time and place of work increase the utility of workers and firms?
The outbreak of the 2019 novel coronavirus is threatening the growth of the economy worldwide. To contain the spread of the coronavirus and curb the contagion, workers have been allowed to work outside their workplace, thanks to the use of technology.
The coronavirus induced home-office as the only way to continue working during the pandemic and avoid the collapse of the economy.

Speaker: Eva Fodor, Co-Director, CEU Democracy Institute, Associate Professor, Department of Gender Studies, Central European University

As most other EU countries, Hungary implemented severe lockdown measures during the 1 st wave of the pandemic in the spring of 202, including the closure of the schools and childcare facilities. This meant that for several months a vastly increased volume of childcare had to be supplied by individual households without much institutional help. In the end of May 2020, we conducted a representative survey in Hungary to find out how the pandemic affected the gendered division of these childcare and other types of care duties. In this talk I will review the results of our survey, consider its implications for women’s paid labor market participation and assess their long-term consequences in light of the growing international comparative literature and a qualitative study conducted simultaneously in Hungary.

Speaker: Sylvia Fuller,
University Job loss can be difficult to navigate for individuals and their families, and is an increasingly salient concern in the COVID-19 pandemic. This talk draws on forthcoming research to illuminate the relationship between gender, parental status, and job loss prior to and during the COVID-19 pandemic in Canada. Pooled data from Statistics Canada’s Workplace and Employee Survey from 1999-2005 reveals the extent to which intersections of gender and parental status are associated with pre-pandemic risks of job loss and its consequences: re-employment, unemployment, and quality of new jobs relative to those that were lost. We find that parenthood reduces the probability of job loss for prime-age men with young children, but only when employer discretion is involved. Despite similar risks of job loss relative to other groups, mothers of young children are the least likely to be re-employed in the subsequent year, mainly because of their higher levels of labour market withdrawal rather than unemployment. Holding out for “family friendly” work arrangements does not seem to account for this pattern. Job loss dynamics thus not only reflect but also reinforce asymmetrical breadwinning and caring roles for mothers and fathers of preschool-aged children. Labour Force Survey Data over the course of the pandemic also reveal asymmetrical effects for mothers and fathers that magnify gender differences in employment among parents.

Speaker: Marcello D'Orazio, Italian National Institute of Statistics (Istat)

Statistical matching (aka data fusion or synthetic matching) denotes a wide set of statistical techniques aimed at exploiting data collected in independent (sample) surveys referred to the same target population; the purpose is that of investigating the relationship between variables not jointly observed in the same survey. These techniques date back to the ‘60s, but they became very popular around 2000 (Rässler’s monograph published in 2002; D’Orazio at al monograph in 2006); they represent a way to respond to increasing user’s demand of new statistical outputs but avoiding the negative implications of enlarging questionnaires of exiting surveys (to collect a wider set of data) in terms of response burden and accuracy of collected data. Most of the statistical techniques proposed for data fusion purposes are adaptions of methods developed to deal with missing values in surveys; they include both parametric and nonparametric methods that can serve for estimating a target parameter (correlation or regression coefficient) or just creating a “synthetic” data source at microdata level.
Despite the efforts, many of the applications of data fusion techniques to integrate independent surveys not designed to be integrated a posteriori turned out unsuccessful; mainly because of the many unmet underlying assumptions and constraints. In National Statistics Offices the lesson learnt led to redesign some of the household surveys having in mind also the integration purposes.
The webinar will give an overview of the most popular statistical matching techniques and the underlying assumptions, that play a key role in their application. The webinar will also highlight the critical points in designing a statistical matching application.

Speaker: Melanie Arntz, University of Heidelberg

The role of skill-biased technological change for increasing wage inequality is well documented. However, technological change may improve equality of opportunity if it increases returns to individual abilities relative to the returns to parental background. In line with this, we find that the wage penalty associated with a disadvantaged family background declined. Our analysis shows that this development is consistently linked to technological progress. The introduction and the use of new technologies in certain occupations explain the rising share of workers with disadvantaged parental background in those occupations as well as their rising relative wages. Moreover, we provide evidence that the depreciation of parents’ occupation-specific knowledge and networks during rapid technological transformations is a major force behind these shifts. Hence, technological change turns out to be an equalizing force that creates labor market opportunities for workers from a disadvantaged family background.

Speaker: Massimo Anelli, Bocconi University
Robots have radically changed the demand for skills and the role of workers in production. This phenomenon has replaced routine and mostly physical work of blue collar workers, but it has also created positive employment spillovers in other occupations and sectors that require more social interaction and managing skills. This study examines how the exposure to robots and its heterogeneous effects on the labor market opportunities of men and women affected demographic behavior. Researchers focused on the United States and find that in regions that were more exposed to robots, gender gaps in income and labor force participation declined, reducing the relative economic stature of men. Regions affected by intense robot penetration experienced also an increase in both divorce and cohabitation and a decline -albeit non-significant- in the number of new marriages. While there was no change in the overall fertility rate, marital fertility declined, and there was an increase in out-of-wedlock births. The findings are consistent with the prediction of the classical Becker's model (1974) and provide further support to the hypothesis that changes in labor market structures that affect the prospects of men may reduce their marriage-market value and affect marital and fertility behavior.

Speaker: Tomáš Sobotka
Vienna Institute of Demography (Austrian Academy of Sciences) / Wittgenstein Centre for Demography and Global Human Capital
Increasing control over reproduction has brought one of the major social transformations in modern times—a wide-scale shift to a small family size that is now under way all around the world. Despite long-lasting experience of low and very low fertility across the highly developed countries, period fertility rates in many countries remain unstable and difficult to predict.

In this study, detailed administrative data were used to study the adjustment of local labor markets to industrial robots in Germany. Robot exposure, as predicted by a shift-share variable, is associated with displacement effects in manufacturing, but those are fully offset by new jobs in services. The incidence mostly falls on young workers just entering the labor force. Automation is related to more stable employment within firms for incumbents, and this is driven by workers taking over new tasks in their original plants. Several measures indicate that those new jobs are of higher quality than the previous ones. Young workers also adapt their educational choices, and substitute away from vocational training towards colleges and universities. Finally, industrial robots have benefited workers in occupations with complementary tasks, such as managers or technical scientists.

Speaker: Ann-Zofie Duvander, Stockholm University

Research have found strong support for the assumption that a major reason for the gendered division of parental leave is the financial compensation during leave. Swedish national parental leave benefit provides 77.6 percent of earlier earnings up to a ceiling and a substantive share o especially fathers hit this ceiling. On increasing number of work places collective agreements between union and employers’ organisation cover the income loss above the ceiling during leave. We focus on the importance of such collective agreements by examining fathers’ parental leave take-up across the 2000s, as agreements were expanded during this period in time. The main division of agreements is between the state, the municipality and county, and the private sector. Results indicate that fathers with income above the ceiling increase their use over the time period. Especially in the private sector a polarisation can be seen, where fathers with above ceiling income increase their leave use, while fathers with below ceiling income fall behind. Nevertheless, we find only small differences in trends in leave take-up between fathers’ in different sectors. The results will be discussed from a policy perspective, especially regarding how economic and other incentives to leave taking will matter at different points in time.

Speaker: Natalie Nitsche, Max Planck Institute of Demograhic Research

Fertility responses to disasters such as pandemics, recessions, or natural disasters have been varied in direction, strength, and across time and place. This background makes predicting fertility change in response to the COVID-19 pandemic, a multi-faceted disaster, challenging.

We propose a novel theoretical framework, which posits that emotion experienced during disasters and emotional change caused by disasters, directly impacts reproductive behaviors and can be utilized to predict disaster-fertility responses. Leaning on evolutionary biology, the affective sciences, and cultural psychology, we develop three competing theoretical models, which we will empirically test using data from the German Panel Analysis of Intimate Relationships and Family Dynamics (pairfam). Analyses will be based on the pairfam ‘corona’ wave collected in May and June 2020.

Speaker: Gerda Neyer, Stockholm University
Over the past two decades, many demographers and political actors have focused on family policies as the key factor of fertility development and fertility behavior in Europe and other post-industrial societies. In general, family policies that promote a gender-egalitarian division of employment and care are seen as the panacea against below-replacement fertility, while those that refrain from altering the gendered division of employment and care are considered to lead to irreversibly low fertility levels. Recent labor-market and fertility developments seem to challenge these propositions.
In this seminar, research findings are presented, that highlight the complex interactions between family policies, labor market aspects, and fertility in order to contribute to the current debates on research perspectives and research strategies to analyze and explain fertility developments in post-industrial countries.

Speaker: Anke Plagnol, University of London

Many studies explore the division of housework and childcare between heterosexual couples without addressing the crucial issue of the cognitive load of household management – also known as the ‘mental load’.

Using primary data on the mental load of housework and childcare, supplemented by the UK Household Longitudinal Study, we examine how co-resident, heterosexual couples with children under the age of 12 divided housework and childcare both before and during the early months of the Covid-19 pandemic. Our key interest is to examine to what extent gender explains the division of housework among couples, including the mental load, above and beyond other factors.

We find that before the pandemic, women carried out the bulk of both physical and household management tasks, and this division did not change much during the first Covid-19 lockdown in the UK. There is limited evidence of men taking on a larger share of housework than before the pandemic, their share of the ‘visible’ unpaid work of food shopping increased, but they did not take on more of the ‘invisible’ mental load.

The analysis shows that household management tasks need to be examined to fully understand the patterns of the unequal division of household labour.

Speaker: Eva Beaujouan, University of Vienna Wittgenstein Centre for Demography and Global Human Capital

After decades of decline in birth rates at younger ages, childbearing after age 30 has become prominent to explain overall fertility levels in Europe, the English-speaking countries and East Asia. The desire and ability of those who did not have children in their 20s to have them later (“fertility recuperation”) are thus decisive for future fertility levels, and for life satisfaction among those who wish to have children. I will provide an overview of the recent trends towards later childbearing and discuss the implications for individuals as well as for fertility levels.

Speaker: Joanna Tyrowicz, FAME|GRAPE University of Warsaw, and IZA

Statistical discrimination oers a compelling narrative on gender wage gaps during the early stages of the career. Expecting absences related to child-bearing and child-rearing, the employers discount productivity to adjust for the probable losses such as costs associated with finding substitutes, leaving customers, etc. If that is the case, lower and delayed fertility should imply lower discount in wages, and consequently reductions in the gender pay gap among entrants. We put this conjecture to test against the data. We provide a novel set of estimates of adjusted gender wage gaps among youth for 56 countries spanning four decades. We estimate that postponing childbirth by a year reduce the adjusted gap 2 percentage points (15%). We show that this estimate is consistent with statistical discrimination, but for some countries the estimates of AGWG imply that either statistical discrimination is not accurate or taste-based mechanisms are also at play.

Speaker: Jill Rubery, University of Manchester
How did Covid-19 affect women’s labour market position? The Covid‑19 pandemic has not just interrupted but disrupted the normal functioning of our economies and societies. Disruption provides an opportunity for progressive change but also engenders the risk of significant reversals in social progress. In this context, this chapter aims to assess the gendered impact of the first stage of the public health crisis, that is, the period from the beginning of significant Covid‑19 outbreaks in Europe in March 2020 to the loosening of lockdowns in May and June 2020, with precise timing dependent on the country. The focus is on the initial policy responses and what they tell us about both the potential for positive change and the risks of reversals in progress towards gender equality.
All crises have gendered impacts, and Covid‑19 is no exception. Differences in women’s and men’s positions in the employment and social protection system as well as in the division of unpaid household work and care result in gendered socio-economic impacts. Nevertheless, the extent to which the burden of crises falls on men and women depends both on their pre-crisis roles and how policies to address the crisis mitigate or exacerbate these effects. This crisis differs from others in that it has a health cause, not an economic one, even if the dominant neoliberal economic model and usterity policies that have squeezed expenditure on public services and social protection may have contributed to its impacts. This health issue is also gendered, with men much more vulnerable to hospitalisation and death from Covid‑19, although this goes beyond the scope of this chapter. Another key difference is the impact – at least in the short term – on the household. With the closing of schools and childcare facilities, the confining of people to their immediate households and the widespread adoption of teleworking, suddenly the home arena has moved centre stage. While in most crises the spotlight tends to be on the economy and paid employment, in this crisis the unpaid care work done in the home has gained unprecedented visibility, particularly as it is being done alongside wage work and other ommitments. As a result of the pandemic, the contributions of professionals to care and education have also become more visible by their absence. The dark side to this centrality of the home is the increased risk that women face from domestic violence.

Speaker: Steffen Künn, Maastricht University
Air pollution is shown to have detrimental effects on health, productivity and cognition, which are important factors contributing to job search success. We are the first to study the impact of air pollution on job search success and behaviour. In a first step, we use administrative data on unemployed job seekers in Germany and exploit spatial and temporal variation in exposure to particulate matter (PM10). We find evidence that higher levels of PM10 increase individuals’ probability to exit unemployment but reduces their realized wages. In a second step, we consider detailed survey data to shed light on the exact mechanism behind this observation. We find that exposure to PM10 pollution triggers a reduction in individuals’ reservation wages, making job seekers apparently more likely to accept (low quality) job offers faster.