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  • 1
    UID:
    almafu_9958246517702883
    Format: 1 online resource (36 pages)
    Series Statement: Policy research working papers.
    Content: The contribution of women to labor in African agriculture is regularly quoted in the range of 60 to 80 percent. Using individual-disaggregated, plot-level labor input data from nationally representative household surveys across six Sub-Saharan African countries, this study estimates the average female labor share in crop production at 40 percent. It is slightly above 50 percent in Malawi, Tanzania, and Uganda, and substantially lower in Nigeria (37 percent), Ethiopia (29 percent), and Niger (24 percent). There are no systematic differences across crops and activities, but female labor shares tend to be higher in households where women own a larger share of the land and when they are more educated. Controlling for the gender and knowledge profile of the respondents does not meaningfully change the predicted female labor shares. The findings question prevailing assertions regarding substantial gains in aggregate crop output as a result of increasing female agricultural productivity.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    UID:
    almafu_9960054841902883
    Format: 1 online resource (63 pages)
    Series Statement: Policy research working papers.
    Content: This paper investigates the impacts of the economic shock caused by the COVID-19 pandemic on the employment of different types of workers in developing countries. Employment outcomes are taken from a set of high-frequency phone surveys conducted by the World Bank and National Statistics Offices in 40 countries. Larger shares of female, young, less educated, and urban workers stopped working. Gender gaps in work stoppage were particularly pronounced and stemmed mainly from differences within sectors rather than differential employment patterns across sectors. Differences in work stoppage between urban and rural workers were markedly smaller than those across gender, age, and education groups. Preliminary results from 10 countries suggest that following the initial shock at the start of the pandemic, employment rates partially recovered between April and August, with greater gains for those groups that had borne the brunt of the early jobs losses. Although the high-frequency phone surveys greatly over-represent household heads and therefore overestimate employment rates, case studies in five countries suggest that they provide a reasonably accurate measure of disparities in employment levels by gender, education, and urban/rural location following the onset of the crisis, although they perform less well in capturing disparities between age groups. These results shed new light on the labor market consequences of the COVID-19 crisis in developing countries, and suggest that real-time phone surveys, despite their lack of representativeness, are a valuable source of information to measure differential employment impacts across groups during a crisis.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 3
    UID:
    almafu_9959849631502883
    Format: 1 online resource (28 pages)
    Series Statement: Policy research working papers.
    Content: The disutility of work, often summarily described as effort, is a primal component of economic models of worker and consumer behavior. However, empirical applications that measure effort, especially those that assess the distribution of effort across known populations, are historically scarce. This paper explores intra-household differences in physical activity in a rural agrarian setting. Physical activity is captured via wearable accelerometers that provide a proxy for physical effort expended per unit of time. In the study setting of agricultural households in Malawi, men devote significantly more time to sedentary activities than women (38 minutes per day), but also spend more time on moderate-to-vigorous activities (16 minutes). Using standardized energy expenditure as a summary measure for physical effort, women exert marginally higher levels of physical effort than men. However, gender differences in effort among married partners are strongly associated with intra-household differences in bargaining power, with significantly larger husband-wife effort gaps alongside larger differences in age and individual land ownership as well as whether the couple lives as part of a polygamous union. Physical activity - a proxy for physical effort, an understudied dimension of wellbeing - exhibits an unequal distribution across gender in this population.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 4
    UID:
    almafu_9958246407602883
    Format: 1 online resource (51 pages)
    Series Statement: Policy research working papers.
    Content: In targeting poverty gains, sub-Saharan African governments have emphasized the alleviation of gender differences in agricultural productivity. The empirical studies on the gender gap, however, have frequently used data that were limited regarding geographic and topical coverage, and/or details on intra-household dynamics. The study provides a nationally-representative analysis of the gender gap in Malawi, and decomposes it, for the first time, at the mean and at selected points of the agricultural productivity distribution into (i) a portion driven by gender differences in levels of observable attributes (the endowment effect), and (ii) a portion driven by gender differences in returns to the same set of observables (the structure effect). Sequentially, the authors unpack the relative contributions of different factors towards the gender gap, and suggest future research priorities to inform policy interventions. The authors find that while female-managed plots are, on average, 25 percent less productive, 82 percent of this differential is explained by differences in endowments, mainly due to high-value crop cultivation and levels of household adult male labor inputs. The factors driving the structure effect include child dependency ratio and effectiveness of household adult male labor and inorganic fertilizer. The gender gap increases across the productivity distribution, ranging from 22 percent at the 10th percentile to 37 percent at the 90th percentile. While it is explained predominantly by the endowment effect in the first half of the distribution, the contribution of the structure effect towards the gender gap increases steadily above the median, standing at 34 percent at the 90th percentile.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    UID:
    almafu_9959757750802883
    Format: 1 online resource (54 pages)
    Series Statement: Other papers.
    Content: The economic crisis caused by the COVID-19 pandemic has sharply reduced mobility and economic activity, disrupting the lives of people around the globe. This paper presents estimates on the early impact of the crisis on labor markets in 39 countries based on high-frequency phone survey data collected between April and July 2020. Workers in these countries experienced severe labor market disruptions following the COVID-19 outbreak. Based on simple averages across countries, 34 percent of the respondents reported stopping work, 20 percent of wage workers reported lack of payment for work performed, 9 percent reported job changes due to the pandemic, and 62 percent reported income loss in their household. Stopping work was more prevalent in the industrial and service sectors than in agriculture. Measures of work stoppage and income loss in the high-frequency phone survey are generally consistent with gross domestic product growth projections in Latin America and the Caribbean but not in Sub-Saharan Africa. This suggests that the survey data contribute new and important information on economic impacts in low-income countries.
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
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  • 6
    UID:
    almafu_9958143924002883
    Format: 1 online resource (40 pages)
    Series Statement: Policy research working papers.
    Content: A 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.
    Language: English
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 7
    UID:
    almafu_9959668185202883
    Format: 1 online resource (31 pages)
    Series Statement: Policy research working papers.
    Content: The 19th International Conference of Labour Statisticians (in 2013) redefined labor statistics standards. A major change was to narrow the definition of employment to work for pay or profit. By the revised standards, farming that is only or mainly intended for own use is no longer considered employment, and such a farmer is no longer considered to be employed or in the labor force. This paper analyzes the implications of the revised standards on measures of employment in Sub-Saharan Africa obtained from multi-topic household surveys. It shows that, in some contexts, 70 to 80 percent of farmers produce only or mainly for family consumption and are therefore, based on this activity, not considered employed by the revised standards. However, there is wide variation across countries and regions. Moreover, farmers are more likely to report intending to produce for sale at the end of the growing season of the main local crop than earlier in the season. Men are more likely than women to produce for sale. The revised standards lead to significantly lower employment-to-population ratios in rural Africa and change the sectoral composition of the employed population toward non-agricultural sectors. The paper concludes with recommendations for data producers and users.
    Language: English
    URL: Volltext  (kostenfrei)
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  • 8
    UID:
    almafu_9959028198002883
    Format: 1 online resource (30 pages)
    Series Statement: Policy research working papers.
    Content: This study examines recall bias in farm labor by conducting a randomized survey experiment in Ghana. Hours of farm labor obtained from a recall survey conducted at the end of the season are compared with data collected weekly throughout the season. The study finds that the recall method overestimates farm labor per person per plot by about 10 percent, controlling for observable differences at baseline. Recall bias in farm labor per person per plot is accounted for by the fact that households in the recall group report fewer marginal plots and farm workers, denoted here as listing bias. This listing bias also creates a countervailing effect on hours of farm labor at higher levels of aggregation, so that the recall method underestimates farm labor per plot and per household and overestimates the labor productivity of household-operated farms. Consistent with the notion that recall bias is linked to the cognitive burden of reporting on past events, the study finds that recall bias in farm labor has a strong educational gradient.
    Language: English
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  • 9
    UID:
    b3kat_BV048269388
    Format: 1 Online-Ressource (28 p)
    Series Statement: World Bank E-Library Archive
    Content: African governments and international development groups see boosting productivity on smallholder farms as key to reducing rural poverty and safeguarding the food security of farming and non-farming households. Prompting smallholder farmers to use more fertilizer has been a key tactic. Closing the productivity gap between male and female farmers has been another avenue toward achieving the same goal. The results in this paper suggest the two are related. Fertilizer use and maize yields among smallholder farmers in Uganda are increased by improved access to markets and extension services, and reduced by ex ante risk-mitigating production decisions. Standard ordinary least squares regression results indicate that gender matters as well; however, the measured productivity gap between male and female farmers disappears when gender is included in a list of determinants meant to capture the indirect effects of market and extension access
    Additional Edition: Erscheint auch als Druck-Ausgabe Larson, Donald F Are Women Less Productive Farmers? Washington, D.C : The World Bank, 2015
    Language: English
    URL: Volltext  (kostenfrei)
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  • 10
    UID:
    b3kat_BV049080820
    Format: 1 Online-Ressource
    Series Statement: Other Poverty Study
    Content: The World Bank is an international leader in the methodology and implementation of household surveys, working in close partnership with national statistics offices (NSOs) around the world. This guidebook is a consolidation of field-tested best practices to implement, improve, and modernize nationally representative multi-topic household surveys for monitoring welfare and poverty. Offered as a reference guide for task team leaders (TTLs) within the World Bank, the guidebook is intended as a powerful tool for any survey practitioners (such as NSOs, development partners, educators, researchers, and students) implementing household surveys in low- and middle-income countries. This guidebook starts with survey design, the first step in any survey undertaking, with careful attention given to minimizing non-sampling errors. Subsequent sections are sampling; questionnaire modules, which form the core of this guidebook; followed by geographic information systems (GIS); computer-assisted personal interviewing (CAPI); and finally, documentation and dissemination of the resulting data
    Language: English
    URL: Volltext  (kostenfrei)
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