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327 records from EconBiz based on author Name
1. Women at Work : Evidence from a Randomized Experiment in Urban Djibouti
abstractIn some developing countries, women's labor force participation remains persistently low. This gives rise to questions regarding what types of employment opportunities or interventions can draw women into work in such contexts. In this study in urban Djibouti, with restrictive gender norms and very low female employment rates, women were randomly offered the opportunity to be employed in a public works program designed specifically to facilitate their participation. Program take-up is very high, and most participants do not delegate their work opportunity to another adult. However, in the medium term after the program ends, women who receive the temporary employment offer revert back to non participation in the labor market. These results suggest that while social norms can be a deterrent to women's work in settings with very low employment rates, women will participate in work opportunities when they are offered and suitable
Devoto, Florencia; Galasso, Emanuela; Beegle, Kathleen; Brodmann, Stefanie;2024
Type: Arbeitspapier; Working Paper;
Availability: Link
Link 2. COVID-19 Increased Existing Gender Mortality Gaps in High-Income Countries More Than in Middle-Income Countries
abstractMen die at higher rates in nearly all places and at all ages beyond age 45. Using World Health Organization excess mortality estimates by sex and age groups for 75 countries in 2020 and 62 countries in 2021, this paper analyzes how patterns of excess mortality varied by sex and age groups across countries during the COVID-19 pandemic and their association with country income level. In 2020, the pandemic amplified the gender mortality gap for the world, but with variation across countries and by country income level. In high-income countries, rates of excess mortality were much higher for men than women. In contrast, in middle-income countries, the sex ratio of excess mortality was similar to the sex ratio of expected all-cause mortality. The exacerbation of the sex ratio of excess mortality observed in 2020 in high-income countries declined in 2021, likely as a result of the faster rollout of vaccination against COVID-19
Beegle, Kathleen; De Walque, Damien; Demombynes, Gabriel; Gubbins, Paul; Veillard, ,Jeremy;2024
Availability: Link
3. COVID-19 Increased Existing Gender Mortality Gaps in High-Income Countries More than in Middle-Income Countries
abstractMen die at higher rates in nearly all places and at all ages beyond age 45. Using World Health Organization excess mortality estimates by sex and age groups for 75 countries in 2020 and 62 countries in 2021, this paper analyzes how patterns of excess mortality varied by sex and age groups across countries during the COVID-19 pandemic and their association with country income level. In 2020, the pandemic amplified the gender mortality gap for the world, but with variation across countries and by country income level. In high-income countries, rates of excess mortality were much higher for men than women. In contrast, in middle-income countries, the sex ratio of excess mortality was similar to the sex ratio of expected all-cause mortality. The exacerbation of the sex ratio of excess mortality observed in 2020 in high-income countries declined in 2021, likely as a result of the faster rollout of vaccination against COVID-19
Beegle, Kathleen; De Walque, Damien; Demombynes, Gabriel; Gubbins, Paul; Veillard, Jeremy;2024
Availability: Link Link
4. Missing SDG Gender Indicators
abstractThe Sustainable Development Goal agenda lays out an ambitious set of 231 indicators to track progress. Countries continue to fall short in terms of reporting on the indicators in general, and this is particularly the case for the subset of 50 gender-related indicators, where countries reported on average on 31 percent of these indicators in at least one year from 2016 to 2020. A closer look at this low coverage reveals four salient fundings. First, this is not just a problem of missing data; lack of reporting on existing data is detected to be a problem. For example, of the 32 gender-related indicators that are sex disaggregated, if countries that had a population estimate also had a sex-disaggregated estimate (which is almost always feasible), the Sustainable Development Goal gender coverage rate would be 43 percent instead of 31 percent. Second, better statistical systems are a major part of the solution, as statistical system strength is correlated with higher coverage. Third, poorer countries are doing no worse in reporting on gender-related Sustainable Development Goal indicators than high-income countries, despite weaker statistical systems. Lastly, sizable over (and under) performance in reporting, conditional on statistical strength, suggests that country-level advocacy and focus can yield wins in Sustainable Development Goal gender indicator coverage
Beegle, Kathleen; Serajuddin, Umar; Stacy, Brian; Wadhwa, Divyanshi;2023
Availability: Link
5. The impact of the COVID-19 pandemic on women-led businesses
Torres, Jesica; Maduko, Franklin Okechukwu; Gaddis, Isis; Iacovone, Leonardo; Beegle, Kathleen;2023
Type: Aufsatz in Zeitschrift; Article in journal;
Availability:
Link Link Citations: 5 (based on OpenCitations)
6. Missing SDG Gender Indicators
abstractThe Sustainable Development Goal agenda lays out an ambitious set of 231 indicators to track progress. Countries continue to fall short in terms of reporting on the indicators in general, and this is particularly the case for the subset of 50 gender-related indicators, where countries reported on average on 31 percent of these indicators in at least one year from 2016 to 2020. A closer look at this low coverage reveals four salient fundings. First, this is not just a problem of missing data; lack of reporting on existing data is detected to be a problem. For example, of the 32 gender-related indicators that are sex disaggregated, if countries that had a population estimate also had a sex-disaggregated estimate (which is almost always feasible), the Sustainable Development Goal gender coverage rate would be 43 percent instead of 31 percent. Second, better statistical systems are a major part of the solution, as statistical system strength is correlated with higher coverage. Third, poorer countries are doing no worse in reporting on gender-related Sustainable Development Goal indicators than high-income countries, despite weaker statistical systems. Lastly, sizable over (and under) performance in reporting, conditional on statistical strength, suggests that country-level advocacy and focus can yield wins in Sustainable Development Goal gender indicator coverage
Beegle, Kathleen; Serajuddin, Umar; Stacy, Brian; Wadhwa, Divyanshi;2023
Availability: Link Link
7. Not Your Average Job : Measuring Farm Labor in Tanzania
abstractA good understanding of the constraints on agricultural growth in Africa relies on the accurate measurement of smallholder labor. Yet, serious weaknesses in these statistics persist. The extent of bias in smallholder labor data is examined by conducting a randomized survey experiment among farming households in rural Tanzania. Agricultural labor estimates obtained through weekly surveys are compared with the results of reporting in a single end-of-season recall survey. The findings show strong evidence of recall bias: people in traditional recall-style modules report working up to four times as many hours per person-plot relative to those reporting labor on a weekly basis. If hours are aggregated to the household level, however, this discrepancy disappears, a factor driven by the underreporting by recall households of people and plots active in agricultural work. The evidence suggests that these competing forms of recall bias are driven not only by failures in memory, but also by the mental burdens of reporting on highly variable agricultural work patterns to provide a typical estimate. All things equal, studies suffering from this bias would understate agricultural labor productivity
Arthi, Vellore; Beegle, Kathleen; De Weerdt, Joachim; Palacios-Lopez, Amparo; Arthi, Vellore Shroff; Beegle, Kathleen;2020
Availability: Link
8. Reliability of Recall in Agricultural Data
abstractDespite the importance of agriculture to economic development, and a vast accompanying literature on the subject, little research has been done on the quality of the underlying data. Due to survey logistics, agricultural data are usually collected by asking respondents to recall the details of events occurring during past agricultural seasons that took place a number of months prior to the interview. This gap can lead to recall bias in reported data on agricultural activities. The problem is further complicated when interviews are conducted over the course of several months, thus leading to recall of variable length. To test for such recall bias, the length of time between harvest and interview is examined for three African countries with respect to several common agricultural input and harvest measures. The analysis shows little evidence of recall bias impacting data quality. There is some indication that more salient events are less subject to recall decay. Overall, the results allay some concerns about the quality of some types of agricultural data collected through recall over lengthy periods
Beegle, Kathleen; Carletto, Calogero; Himelein, Kristen; Beegle, Kathleen; Carletto, Calogero; Kastelic, Kristen Himelein;2020
Availability: Link
9. What can we learn from experimenting with survey methods?
De Weerdt, Joachim; Gibson, John K.; Beegle, Kathleen;2020
Type: Aufsatz in Zeitschrift; Article in journal;
Availability: Link Link
Citations: 12 (based on OpenCitations)
10. Accelerating poverty reduction in Africa
abstractSub-Saharan Africa's turnaround over the past couple of decades has been dramatic. After many years in decline, the continent's economy picked up in the mid-1990s. Along with this macroeconomic growth, people became healthier, many more youngsters attended schools, and the rate of extreme poverty declined from 54 percent in 1990 to 41 percent in 2015. Political and social freedoms expanded, and gender equality advanced. Conflict in the region also subsided, although it still claims thousands of civilian lives in some countries and still drives pressing numbers of displaced persons. Despite Africa’s widespread economic and social welfare accomplishments, the region’s challenges remain daunting: Economic growth has slowed in recent years. Poverty rates in many countries are the highest in the world. And notably, the number of poor in Africa is rising because of population growth. From a global perspective, the biggest concentration of poverty has shifted from South Asia to Africa. Accelerating Poverty Reduction in Africa explores critical policy entry points to address the demographic, societal, and political drivers of poverty; improve income-earning opportunities both on and off the farm; and better mobilize resources for the poor. It looks beyond macroeconomic stability and growth—critical yet insufficient components of these objectives—to ask what more could be done and where policy makers should focus their attention to speed up poverty reduction. The pro-poor policy agenda advanced in this volume requires not only economic growth where the poor work and live, but also mitigation of the many risks to which African households are exposed. As such, this report takes a "jobs" lens to its task. It focuses squarely on the productivity and livelihoods of the poor and vulnerable—that is, what it will take to increase their earnings. Finally, it presents a road map for financing the poverty and development agenda
Beegle, Kathleen; Christiaensen, Luc J.;2019
Availability: Link Link
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