Demography, family, and gender

Environmental regulations are typically considered to be a drag on the economy. However, improved environmental quality may actually enhance productivity by creating a healthier workforce. Evidence suggests that improvements in air quality lead to improvements in worker productivity at the micro level across a range of sectors, including agriculture, manufacturing, and the service sectors, as well as at more aggregate macro levels. These effects also arise at levels of air quality that are below pollution thresholds in countries with the highest levels of environmental regulation. The findings suggest a new approach for understanding the consequences of environmental regulations.

Transition to a market economy is accompanied by a period of greater economic uncertainty. Women are likely to suffer substantial disadvantages from this uncertainty compared to men as they are, for example, more likely to lose their job. This not only implies a monetary loss for the entire family, but also degrades female bargaining power within the household, possibly further aggravating their well-being. When intrahousehold inequality—an unequal distribution of resources among family members—exists, female poverty might be significantly larger than what can be deduced using standard household-based poverty measures.

The Covid-19 pandemic has produced unprecedented negative effects on the global economy, affecting both the demand and supply side. Its consequences in terms of job losses have been important in many European countries. A large number of firms have been forced to dismiss at least part of their workforce or to close down all together. Considering that young people are usually penalized more than their adult counterparts during economic crises due to the so-called “last-in-first-out” principle, it is worthwhile to evaluate if the youth will also end up paying the highest price during this pandemic-induced recession.

The rise in the average age of women bearing their first child is a well-established demographic trend in recent decades. Postponed childbearing can have important consequences for the mothers and, at a macro level, for the country in which they live. Research has primarily focused on the effect postponing fertility has on mothers’ labor market outcomes and on the total number of children a woman has in her lifetime. Most research finds that postponing the first birth raises a mother's labor force participation and wages but may have negative effects on overall fertility, especially in the absence of supportive family-friendly policies.

Spending time sleeping not only improves individuals’ well-being, but it can influence employment outcomes and productivity. Sleep can be disrupted by company schedules and deadlines, extended working times, and several individual and household decisions. Labor market regulation and corporate strategies should factor in the immediate effect of insufficient sleep on employee fatigue and cognitive performance, and the associated effects on employment disruption and productivity loss. Sleep can be influenced by “sleep friendly” employment regulations, technology nudges, monetary incentives, and subsidies for sleeping.

Many experimental studies and surveys have shown that women consistently display more risk-averse behavior than men when confronted with decisions involving risk. These differences in risk preferences, when combined with gender differences in other behavioral traits, such as fondness for competition, have been used to explain important phenomena in labor and financial markets. Recent evidence has challenged this consensus, however, finding gender differences in risk attitudes to be smaller than previously thought and showing greater variation of results depending on the method used to measure risk aversion.

The gender wage gap is largely due to men and women holding different kinds of jobs. This job segregation is partly driven by gender differences in careers in corporate hierarchies. Research has shown that the careers of men and women begin to diverge immediately upon entry into the labor market and that subsequent career progress exacerbates the divergence. This divergence of career progress explains a large part of the gender wage gap. Understanding how and why the careers of men and women differ is necessary to design effective policies that can reduce the gender differences in hierarchies.

Many countries experience gender differences, of various magnitudes, in the time devoted to paid work (e.g. market work time) and unpaid work (e.g. housework and childcare). Since household responsibilities influence the participation of women, especially mothers, in the labor market, the unequal sharing of unpaid work, with women bearing the brunt of housework and childcare, is one of the main drivers of gender inequality in the labor market. Understanding the factors behind these gender inequalities is crucial for constructing policies aimed at promoting gender equality and combating gender-based discrimination.

Numerous studies have investigated whether the provision and generosity of parental leave affects the employment and career prospects of women. Parental leave systems typically provide either short unpaid leave mandated by the firm, as in the US, or more generous and universal leave mandated by the government, as in Canada and several European countries. Key economic policy questions include whether, at the macro level, female employment rates have increased due to parental leave policies; and, at the micro level, whether the probability of returning to work and career prospects have increased for mothers after childbirth.

A key element of anti-poverty policy is the accurate identification of poor individuals. However, measuring poverty at the individual level is difficult since consumption data are typically collected at the household level. Per capita measures based on household-level data ignore both inequality within the household and economies of scale in consumption. The collective household model offers an alternative and promising framework to estimate poverty at the individual level while accounting for both inequality within the household and economies of scale in consumption.