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A better understanding of how individual wealth and time use are linked—across paid, unpaid, and leisure activities —is important for targeting widespread gender inequalities in time allocation, as well as in accessing economic opportunities. The lack of reliable, individual-level data on asset ownership across different subpopulations, however, has limited discussions of these issues in the literature. Using a unique nationally representative survey from Cambodia, this paper shows that individual wealth, as measured through self-reported ownership of physical and financial assets, is significantly associated with time allocation to different activities. The role of asset ownership in time use is also stronger, particularly among women, vis-à-vis the competing proxies for socioeconomic status. Ownership of financial accounts, motorized vehicles, and mobile phones —all of which can improve access to networks, markets, and services—is associated with less time in unpaid work, and in some cases greater time in paid work, specifically among women in off-farm jobs. There are also distinct gender differences in how men and women shift their time away from leisure and childcare, highlighting the importance of social norms in choices over time use. The analysis highlights the utility of integrated, intra-household, individual-disaggregated data collection on asset ownership, time use, and employment in lower-income contexts.

Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men’s and women’s economic opportunities and welfare. This report presents an overview of the LSMS+ program and provides operational guidance regarding individual-disaggregated data collection in large-scale household surveys, based on the experience with and analysis of the national surveys that have been implemented by the respective national statistical offices (NSOs) in Cambodia, Ethiopia, Malawi, Tanzania over the period 2016-2020, with support from the LSMS+ program.

Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men’s and women’s economic opportunities and welfare. This report presents findings on gender differences in labor market outcomes and ownership of physical and financial assets in Sub-Saharan Africa, based on the national surveys that have been implemented by the respective national statistical offices (NSOs) in Ethiopia, Malawi, and Tanzania over the period 2016-2020, with support from the LSMS+ program.

Established in 2016, the World Bank living standards measurement study - plus (LSMS+) program works to enhance the availability and quality of intra-household, self-reported, individual-disaggregated survey data collected in low- and middle-income countries on key dimensions of men’s and women’s economic opportunities and welfare. This report presents findings on gender differences in labor market outcomes and ownership of physical and financial assets in Cambodia, based on a national survey that was implemented by the National Institute of Statistics (NIS) in 2019, with support from the LSMS+ program.

Rural economies are in transition around the world; in many countries, improved technology and linkages across sectors have expanded access to markets and accelerated production for some farmers. At the same time, rural areas globally are facing a growing base of landless and smallholder farmers, out-migration to urban areas, and persistence of low-skilled, informal, and seasonal jobs where women are often heavily concentrated. Recent global initiatives are examining programs that can effectively raise rural incomes, including how addressing shortfalls in wome's hours worked and earnings can raise rural productivity and growth. But well-designed policies to address these issues require improved counting of individuals' employment, accounting for the complexity of measuring rural women's labor force participation, as well as data on social, economic, and institutional constraints that women face in seeking better economic opportunities. Using recent rounds of the Ethiopia, Malawi, Nigeria, and Uganda Living Standards and Measurement Study-Integrated Surveys on Agriculture, as well as findings from recent country pilots conducted by the International Labour Organization, this paper discusses best practices and issues to consider when examining rural women's employment in socioeconomic surveys, as well as a survey research agenda to improve measurement.

Accurate estimates of men's and women's employment are at the heart of understanding sources of productivity and economic growth and designing well-targeted, gender-sensitive labor policies. How respondent selection in household and labor force surveys affects these estimates is a key question, for which experimental evidence outside high-income settings is limited. Leveraging two concurrent, national surveys in Malawi that differed in their approach to respondent selection, the analysis shows that, compared with the best practice of privately interviewing adults about their employment outcomes, the common "business-as-usual" approach that permits the use of proxy respondents and non-private/group interviews leads to significant underreporting of employment across a range of wage and self-employment activities, with stronger effects for women and for a longer (12-month) recall period. Under the business-as-usual approach, the main factors linked to underreporting include household wealth, proxy reporting, and potential difficulties associated with interpreting/answering questions on household non-farm enterprises.