Year Published
- 2008 (0)
- 2009 (0)
- 2010 (1) Apply 2010 filter
- 2011 (1) Apply 2011 filter
- 2012 (2) Apply 2012 filter
- 2013 (0)
- 2014 (0)
- 2015 (0)
- (-) Remove 2016 filter 2016
- (-) Remove 2017 filter 2017
- (-) Remove 2018 filter 2018
- 2019 (0)
- 2020 (0)
- 2021 (0)
Research Topics
Populations
Types of Research
Geography
- East Africa Region and Selected Countries (3) Apply East Africa Region and Selected Countries filter
- Global (1) Apply Global filter
- South Asia Region and Selected Countries (2) Apply South Asia Region and Selected Countries filter
- Southern Africa Region and Selected Countries (0)
- Sub-Saharan Africa (1) Apply Sub-Saharan Africa filter
- West Africa Region and Selected Countries (2) Apply West Africa Region and Selected Countries filter
Dataset
Current search
- (-) Remove Household Well-Being & Equity filter Household Well-Being & Equity
- (-) Remove 2016 filter 2016
- (-) Remove Labor & Time Use filter Labor & Time Use
- (-) Remove Data Analysis filter Data Analysis
- (-) Remove Health filter Health
- (-) Remove 2018 filter 2018
- (-) Remove Global & Regional Public Goods filter Global & Regional Public Goods
- (-) Remove Political Economy & Governance filter Political Economy & Governance
- (-) Remove Portfolio Review filter Portfolio Review
- (-) Remove Technology Adoption filter Technology Adoption
- (-) Remove 2017 filter 2017
In this report we analyze three waves nationally-representative household survey data from Kenya, Uganda, Tanzania, Nigeria, Pakistan, Bangladesh, India, and Indonesia to explore sociodemographic and economic factors associated with mobile money adoption, awareness, and use across countries and over time. Our findings indicate that to realize the potential of digital financial services to reach currently unbanked populations and increase financial inclusion, particular attention needs to be paid to barriers faced by women in accessing mobile money. While policies and interventions to promote education, employment, phone ownership, and having a bank account may broadly help to increase mobile money adoption and use, potentially bringing in currently unbanked populations, specific policies targeting women may be needed to close current gender gaps.
An ongoing stream of EPAR research considers how public good characteristics of different types of research and development (R&D) and the motivations of different providers of R&D funding affect the relative advantages of alternative funding sources. For this project, we seek to summarize the key public good characteristics of R&D investment for agriculture in general and for different subsets of crops, and hypothesize how these characteristics might be expected to affect public, private, or philanthropic funders’ investment decisions.
Labor is one of the most productive assets for many rural households in developing countries. Despite the importance of labor—and time use more generally—little research has empirically examined the quality of time-use data in household surveys. Many household surveys rely on respondent recall, the reliability of which may decrease as recall length increases. In addition, respondents often report on time allocation for the entire household, which they may not know or recall as clearly as their own time allocation. Finally, simultaneous activities such as tending children while preparing dinner, may lead to the systematic underestimation of certain activities, particularly those that tend to be performed by women. This paper examines whether the identity of the survey respondent affects estimates of time allocation within the household. Drawing on the Ugandan LSMS-ISA household survey, we find that individuals responding for themselves report higher levels of time use over the previous week than when responding for other household members. Moreover, male respondents tend to underreport time allocation for females over the age of 15 as compared to female respondents, especially time spent on domestic activities. In addition, an analysis of the effects of two economics shocks—having a baby and floods or droughts—suggests that the identity of the respondent can affect substantive conclusions about the effects of shocks on household time use.