Health Status and the Allocation of Time: Cross-Country Evidence from Europe

This paper analyzes the relationship between reported health status and time allocation decisions in six European countries. Using the Multinational Time Use Study, we find that a better perception of own health is associated with less time devoted to sleep, personal care, and non-market work, for both men and women, and with less time in leisure for men, while it is associated with more time in market work for both men and women. We also find that the relationship with activities is very similar across countries, and that market work has a relationship of substitution with sleep, personal care, non-market work, and leisure, with mixed evidence for the rest of the uses of time. These findings are consistent with prior results regarding health, market work, and leisure in the US. However, in contrast to the large positive correlation between health and home production in the US, we find a large negative correlation between these activities in the six European countries analyzed. This study represents a first step in understanding cross-country differences in the relationship between health status and time devoted to a range of activities, in contrast with other analyses that have mainly focused only on market work. A better understanding of these cross-country differences may help to identify the effects of public policies on individual uses of time

Health inequality and the uses of time for workers in Europe: policy implications

This paper analyses the relationship between health inequality and the time allocation decisions of workers in six European countries, deriving some important policy implications in the context of income tax systems, regulation of working conditions, and taxes on leisure activities. Using the Multinational Time Use Study, we find that a better perception of own health is associated with more time devoted to market work activities in all six countries and with less time devoted to housework activities for both men and women. However, the evidence for the associations between health and leisure is mixed. This study represents a first step in understanding cross-country differences in the relationship between health status and time devoted to a range of activities for workers, in contrast with other analyses that have mainly focused only on market work. A better understanding of these cross-country differences may help to identify the effects of public policy on inequalities in the uses of time

Voluntary Activities and Daily Happiness in the US

This paper analyzes differences in daily happiness between those individuals in the United States who perform voluntary activities during the day, and those who do not. Using the Well-Being Module of the American Time Use Survey 2010, we initially find that those who devote any time to voluntary activities during the day report higher levels of daily happiness than those who do not. Comparing the happiness obtained from a range of activities, we find that volunteering is among the most enjoyable, indicating that time spent on voluntary activities is utility-enhancing. But when the issue of reverse causality is taken into account, we find no differences in daily happiness between volunteers and non-volunteers, which indicates that happier individuals are also more likely to volunteer. We document that the effect of voluntary activities on the experienced utility of individuals can be decomposed into a "time-composition" effect and a "personality" effect, with the latter explaining between 11% and 46% of the observed difference

Like my parents at home? Gender differences in children’s housework in Germany and Spain

This paper analyzes the relationship between parents’ time devoted to housework and the time devoted to housework by their children. Using data for Germany and Spain from the Multinational Time Use Study, we find positive correlations between parents’ and children’s housework time, indicating that the more time parents devote to housework, the more time their children devote to housework. However, we find cross-country differences in these relationships. In Germany, both fathers’ and mothers’ housework is positively related to the time devoted to housework by their children, while in Spain this relationship only holds for fathers’ time. We also find that these results are not applicable to all subgroups of the population, as our analysis considering the labor force status and education of the parents yields mixed results

Gender Gaps in Commuting Time: Evidence from Peru, Ecuador, Chile, and Colombia

We analyze the relationship between gender and the time devoted to commuting by men and women in four Latin American countries. Using data from time surveys from Peru (2010), Ecuador (2012), Chile (2015) and Colombia (2012 and 2017), we observe in all four countries that women devote less time to this activity compared to men, in both urban and rural areas This gender difference varies depending on the presence of children, the working hours, the type of employment, and the urban or rural status of the respondent. Our results contribute to the literature on gender differences in commuting time for a set of countries that have not been thoroughly analyzed, pointing to the responsibility for the care of children as a factor limiting the daily mobility of women in these countries

Commuting time and sickness absence of US workers

This paper analyzes the relationship between commuting time and days of sickness absence of US workers. Using data from the Panel Study of Income Dynamics for the years 2011 to 2017, we find that a 1% increase in the daily commute of workers is associated with an increase of 0.018 and 0.027% in the days of sickness absence per year of male and female workers, respectively. These results are robust for women when sample selection, missing variables, and health status are explored. Further exploration of this relationship shows that the positive relationship between commuting and sickness absence is concentrated in urban areas only, and is present in the intensive margin (hours) for men and the extensive margin (participation) for women. By uncovering how commuting time is related to sickness absenteeism, we contribute to the literature on the negative correlation between commuting and workers’ health and well-being

Spatial Distribution of US Employment in an Urban Wage-Efficiency Setting

In this paper, we analyze the spatial distribution of US employment and earnings against an urban wage-efficiency background, where leisure and effort at work are complementary. Using data from the American Time Use Survey (ATUS) for the period 2003-2014, we analyze the spatial distribution of employment across metropolitan areas. We also empirically study the relationship between individual earnings and commuting and leisure. Our empirical results show that employment is mostly concentrated in metropolitan cores, and that earnings increase with "expected" commuting time, which gives empirical support to our urban wage-efficiency theory. Furthermore, we use Geographical Information System models to show that there is no common pattern of commuting and the employees-to-unemployed rate, although we find higher wages in comparatively crowded states, where average commuting times are also higher

Intergenerational Mobility of Housework Time in the United Kingdom

This paper analyzes the relationship between parents' time devoted to housework and the time devoted to housework by their children. Using data from the Multinational Time Use Study for the UK, we find positive intergenerational correlations in housework for both parents, indicating that the more time parents devote to housework, the more time their children will devote to housework. However, when endogeneity of the uses of time are considered using the British Household Panel Survey, we find that only fathers' housework time appears to have a statistically significant effect. The IV estimates fully support the FE estimates and suggest that father's housework induced by his partner's non-traditional gender role attitudes towards domestic division of labour and her actual labour supply in the previous wave, has a large and significant effect on children's housework time. Our results contribute to the field of intergenerational mobility of behaviors

Excess Commuting in the US: Differences between the Self-Employed and Employees

In this paper, we propose a new spatial framework to model excess commuting of workers and we show empirical differences between the self-employed and employees in the US. In a theoretical framework where self-employed workers minimize their commuting time, employees do not minimize their commuting time because they lack full information, and thus the difference between the time devoted to commuting by self-employed workers and employees is modeled as wasteful commuting (i.e., excess commuting). We first formulate a microeconomic framework for commuting by modeling the location of individuals in urban cores surrounded by rings. Using the American Time Use Survey for the years 2003-2013, our empirical results show that employees spend twelve more minutes per day, or forty percent of the average commuting time, compared to their self-employed counterparts. This is consistent with our "diana" model, in that location is an important factor

A Wage-Efficiency Spatial Model for US Self-Employed Workers

In this paper, we study self-employment in a theoretical setting derived from wage-efficiency spatial models, where leisure and effort at work are complementary. We develop a spatial model of self-employment in which effort at work and commuting are negatively related, and thus the probability of self-employment decreases with "expected" commuting time. We use time-use data from the American Time Use Survey 2003-2014 to analyze the spatial distribution of self-employment across metropolitan areas in the US, focusing on the relationship between commuting time and the probability of self-employment. Our empirical results show that the probability of self-employment is negatively related to the "expected" commuting time, giving empirical support to our theoretical model. Furthermore, we propose a GIS model to show that commuting and self-employment rates are, in relation to unemployment rates, negatively related