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...

The growth in women's participation in the labor force has attracted attention to the gender differences in commuting behavior, and to their implications. This study analyses the relationship between individual commuting behavior and household responsibilities, with a focus on gender differences...

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...

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...

In this paper, we analyze the relationship between potential worker supply, measured through sex ratios, and commuting times in the United States. Using the American Time Use Survey 2003-2014, we analyze the relationship between commuting times and sex ratios by state and age, and show that the...

This paper analyzes how gasoline price is related to the time workers in the US spend commuting by private vehicle, public transport, walking, or cycling. Using data from the American Time Use Survey for the years 2003-2019, and collecting data on gasoline price by state and year, we find that...

Recent analyses have shown that commutes to and from work are not symmetric, suggesting that intermediate activities are at the root of these asymmetries. However, how intermediate activities interact with trips to and from work is an unexplored issue. Using data from the American Time Use...