scholarly journals Do you have time to take a walk together? Private and joint time within the household*

2020 ◽  
Author(s):  
Martin Browning ◽  
Olivier Donni ◽  
Mette Gørtz

Abstract We develop a theoretical model for the intra-household allocation of time and consumption that distinguishes between partners’ joint and private leisure. Estimating the model using time use data leads to five findings. First, the intra-household expenditure distribution correlates with relative wages, consistent with the collective model. Second, men put relatively more weight on private expenditure and composite leisure. Third, joint and private leisure are imperfect substitutes. Fourth, joint and private leisure are independent of the wage distribution, suggesting that togetherness does not substitute for economic factors. Fifth, higher female wages imply higher childcare hours for women, but lower for men.

Author(s):  
Thomas Daum ◽  
Filippo Capezzone ◽  
Regina Birner

Abstract Digital tools may help to study socioeconomic aspects of agricultural development that are difficult to measure such as the effects of new policies and technologies on the intra-household allocation of time. As farm technologies target different crops and tasks, they can affect the time-use of men, women, boys, and girls differently. Development strategies that overlook such effects can have negative consequences for vulnerable household members. In this paper, the time-use patterns associated with different levels of agricultural mechanization during land preparation in smallholder farming households in Zambia were investigated. A novel data collection method was used: a pictorial smartphone application that allows real-time recording of time-use, which eliminates recall bias. Existing studies analyzing the intra-household allocation of resources often focus on adult males and females. This study paid particular attention to boys and girls as well as adults. The study addressed seasonal variations. Compositional data analysis was used to account for the co-dependence and sum constraint of time-use data. The study suggests a strong gender differentiation for land preparation activities among mechanized households; for households using manual labor, such differentiation was not found. There is some evidence that the surplus time associated with mechanization is used for off-farm and domestic work. The study cannot confirm concerns about negative second-round effects: mechanized land preparation is not associated with a higher workload for women and children during weeding and harvesting/processing. The study provides a proof-of-concept that smartphone applications can be used to collect socioeconomic data that are difficult to measure but of high relevance.


1977 ◽  
Vol 85 (2) ◽  
pp. 409-413 ◽  
Author(s):  
Stephen H. Long ◽  
Russell F. Settle

ILR Review ◽  
2017 ◽  
Vol 72 (2) ◽  
pp. 355-381 ◽  
Author(s):  
Deepti Goel ◽  
Kevin Lang

This article highlights a specific mechanism through which social networks help in job search. The authors characterize the strength of a network by its likelihood of providing a job offer. Using a theoretical model, they show that the difference between wages in jobs found using networks versus those found using formal channels decreases as the network becomes stronger. The authors verify this result for recent immigrants to Canada for whom a strong network is captured by the presence of a “close tie.” Furthermore, structural estimates confirm that the presence of a close tie operates by increasing the likelihood of generating a job offer from the network rather than by altering the network wage distribution.


1982 ◽  
Vol 3 (2) ◽  
pp. 199-216 ◽  
Author(s):  
SHARON Y. NICKOLS ◽  
EDWARD J. METZEN

The allocation of time is recognized as a major economic consideration for families. Analysis of longitudinal data on time use offers a fruitful method for examining change and/or stability in roles of husbands and wives. In this panel study of 1156 intact families, time allocation to housework and employment by husbands and wives follows a traditional pattern, with wives spending most time in housework and husbands spending most time in employment. Cross-lag analysis is used to examine the relationship between wife's labor force time allocation and husband's housework time. Basic patterns of time allocation predominate over the 6 years, with wife's employment time having very little impact on husband's housework time. Implications for families and for social policy are discussed.


2011 ◽  
Vol 3 (3) ◽  
pp. 88-123 ◽  
Author(s):  
Patricia Cortés ◽  
José Tessada

Low-skilled immigrants represent a significant fraction of employment in services that are close substitutes of household production. This paper studies whether the increased supply of low-skilled immigrants has led high-skilled women, who have the highest opportunity cost of time, to change their time-use decisions. Exploiting cross-city variation in immigrant concentration, we find that low-skilled immigration increases average hours of market work and the probability of working long hours of women at the top quartile of the wage distribution. Consistently, we find that women in this group decrease the time they spend in household work and increase expenditures on housekeeping services. (JEL J16, J22, J24, J61)


2018 ◽  
Vol 12 (3) ◽  
pp. 378-400
Author(s):  
Sudha Narayanan ◽  
Sowmya Dhanaraj

This study examines time use data for 1,244 children in the age group 6–12 years in 274 villages in eight states in rural north India to understand the trade-offs between time spent in school, time spent at work, time spent on home study and leisure. Using a Seemingly Unrelated Regressions Model, we find that there seems to be no trade-off between time spent at school and at work, whereas leisure time and home study appear to be compromised for the sake of work. Only a few variables influence allocation of time to different activities across the board.


2013 ◽  
Vol 12 (3) ◽  
pp. 279 ◽  
Author(s):  
T.J. Sekhampu ◽  
F. Niyimbanira

The study reported in this article examined the socio-economic determinants of household expenditure patterns in a South African township of Bophelong. The results are based on a household survey using questionnaires. A multiple regression model was used to explain responses in monthly expenditures to socio-economic factors. Household income, household size, the number of people who are employed, employment status, and the educational attainment of the household head were found to exert a strong positive impact on household expenditure. The marital status of the household head was associated with a negative impact on household expenditure. The gender and age of the household head had no impact on the variations in household expenditure. The results of this study contribute to the understanding of township residents by analysing the socio-economic factors associated with household expenditure.


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