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  • Online-Ressource  (8)
  • 2015-2019  (8)
  • 2017  (8)
  • Kilic, Talip  (8)
  • Washington, D.C : The World Bank  (8)
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  • Online-Ressource  (8)
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  • 2015-2019  (8)
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  • Washington, D.C : The World Bank  (8)
  • 1
    Sprache: Englisch
    Seiten: 1 Online-Ressource (76 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Gourlay, Sydney Could the Debate Be Over? Errors in Farmer-Reported Production and Their Implications for the Inverse Scale-Productivity Relationship in Uganda
    Kurzfassung: Based on a two-round household panel survey conducted in Eastern Uganda, this study shows that the analysis of the inverse scale-productivity relationship is highly sensitive to how plot-level maize production, hence yield (production divided by GPS-based plot area), is measured. Although farmer-reported production-based plot-level maize yield regressions consistently lend support to the inverse scale-productivity relationship, the comparable regressions estimated with maize yields based on sub-plot crop cutting, full-plot crop cutting, and remote sensing point toward constant returns to scale, at the mean as well as throughout the distributions of objective measures of maize yield. In deriving the much-debated coefficient for GPS-based plot area, the maize yield regressions control for objective measures of soil fertility, maize genetic heterogeneity, and edge effects at the plot level; a rich set of plot, household, and plot manager attributes; as well as time-invariant household- and parcel-level unobserved heterogeneity in select specifications that exploit the panel nature of the data. The core finding is driven by persistent overestimation of farmer-reported maize production and yield vis-a-vis their crop cutting-based counterparts, particularly in the lower half of the plot area distribution. Although the results contribute to a larger, and renewed, body of literature questioning the inverse scale-productivity relationship based on omitted explanatory variables or alternative formulations of the agricultural productivity measure, the paper is among the first documenting how the inverse relationship could be a statistical artifact, driven by errors in farmer-reported survey data on crop production
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 2
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: 1 Online-Ressource (37 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als McCarthy, Nancy Stronger Together: Intra-Household Cooperation and Household Welfare in Malawi
    Kurzfassung: It has long been recognized that household decision-making may not result in outcomes consistent with the unitary household model. Within the collective bargaining framework, consumption decisions would be driven by the spouse with greater bargaining power, while the outcomes would still be Pareto efficient. Within the non-cooperative framework, households would not achieve Pareto efficient outcomes, and under the simplest representation, bargaining power would not affect consumption decisions. This paper develops a model that allows consumption patterns and labor supply to be affected by both bargaining power and non-cooperation. The model highlights the potential gains from improving bargaining power versus increasing cooperation between spouses, and presents conditions under which relatively large gains would be expected from moving to more equitable bargaining power versus achieving intra-household cooperation. The model's predictions are in turn tested using a unique panel data set on married couples in rural Malawi. The analysis shows that, relative to increasing wives' bargaining power, improving cooperation between spouses would exert larger and statistically significant positive impacts on total household income and consumption expenditures per capita, as well as the share of household consumption devoted to public goods. Supported also by cross-country qualitative research, the results suggest that household public goods are relatively important to both women and men in rural Malawi, husbands' capacity to control wives' incomes is relatively limited, and development programs that promote intra-household cooperation could lead to greater gains in income and household public goods provision compared with interventions focusing exclusively on women's empowerment
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Sprache: Englisch
    Seiten: 1 Online-Ressource (34 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Kilic, Talip Costing Household Surveys for Monitoring Progress toward Ending Extreme Poverty and Boosting Shared Prosperity
    Kurzfassung: 92 million is projected to cover the survey implementation costs across 78 countries, and US
    Kurzfassung: 92 million is projected to cover the survey implementation costs across 78 countries, and US
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 4
    Sprache: Englisch
    Seiten: 1 Online-Ressource (34 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als McCarthy, Nancy Shelter from the Storm? Household-Level Impacts of, and Responses to, the 2015 Floods in Malawi
    Kurzfassung: As extreme weather events intensify due to climate change, it becomes ever more critical to understand how vulnerable households are to these events and the mechanisms households can rely on to minimize losses effectively. This paper analyzes the impacts of the floods that occurred during the 2014/15 growing season in Malawi, using a two-period panel data set. The results show that while yields were dramatically lower for households severely affected by the floods, drops in food consumption expenditures and calories per capita were less dramatic. However, dietary quality, as captured by the food consumption score, was significantly lower for flood-affected households. Although access to social safety nets increased food consumption outcomes, particularly for those in moderately-affected areas, the proportion of households with access to certain safety net programs was lower in 2015 compared with 2013. The latter finding suggests that linking these programs more closely to disaster relief efforts could substantially improve welfare outcomes during and after a natural disaster. Finally, risk-coping strategies, including financial account ownership, access to off-farm income sources, and adult children living away from home, were generally ineffective in mitigating the negative impacts of the floods
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 5
    Sprache: Englisch
    Seiten: 1 Online-Ressource (23 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Kilic, Talip Mission Impossible? Exploring the Promise of Multiple Imputation for Predicting Missing GPS-Based Land Area Measures in Household Surveys
    Kurzfassung: Research has provided robust evidence for the use of GPS technology to be the scalable gold standard in land area measurement in household surveys. Nonetheless, facing budget constraints, survey agencies often seek to measure with GPS only plots within a given radius of dwelling locations. Subsequently, it is common for significant shares of plots not to be measured, and research has highlighted the selection biases resulting from using incomplete data. This study relies on nationally-representative, multi-topic household survey data from Malawi and Ethiopia that exhibit near-negligible missingness in GPS-based plot areas, and validates the accuracy of a multiple imputation model for predicting missing GPS-based plot areas in household surveys. The analysis (i) randomly creates missingness among plots beyond two operationally relevant distance measures from the dwelling locations; (ii) conducts multiple imputation under each distance scenario for each artificially created data set; and (iii) compares the distributions of the imputed plot-level outcomes, namely, area and agricultural productivity, with the known distributions. In Malawi, multiple imputation can produce imputed yields that are statistically undistinguishable from the true distributions with up to 82 percent missingness in plot areas that are further than 1 kilometer from the dwelling location. The comparable figure in Ethiopia is 56 percent. These rates correspond to overall rates of missingness of 23 percent in Malawi and 13 percent in Ethiopia. The study highlights the promise of multiple imputation for reliably predicting missing GPS-based plot areas, and provides recommendations for optimizing fieldwork activities to capture the minimum required data
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 6
    Sprache: Englisch
    Seiten: 1 Online-Ressource (35 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Montalvao, Joao Soft Skills for Hard Constraints: Evidence from High-Achieving Female Farmers
    Kurzfassung: This paper documents the positive link between the noncognitive skills of women farmers and the adoption of a cash crop. The context is Malawi, one of the poorest countries in the world, where the majority of rural households practice subsistence farming. The analysis finds that a one standard deviation increase in noncognitive ability related to perseverance is associated with a five percentage point (or 33 percent) increase in the probability of adoption of the main cash crop. This link is not explained by differences across women in education and cognitive skills. It is also not explained by the fact that women with higher noncognitive ability tend to be married to husbands of higher noncognitive ability and education. The effect of female noncognitive skills on adoption is concentrated in patrilocal communities, where women face greater adversity and thus where it would be expected that the returns to such skills would be highest. One main channel through which noncognitive skills seem to work is through the use of productive inputs, including higher levels of labor, fertilizer, and agricultural advice services
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 7
    Online-Ressource
    Online-Ressource
    Washington, D.C : The World Bank
    Sprache: Englisch
    Seiten: 1 Online-Ressource (37 p)
    Serie: World Bank E-Library Archive
    Paralleltitel: Erscheint auch als Doss, Cheryl Measuring Ownership, Control, and Use of Assets
    Kurzfassung: Assets generate and help diversify income, provide collateral to access credit, alleviate liquidity constraints in the face of shocks, and are key inputs into empowerment. Despite the importance of individual-level data on asset ownership and control, and that most assets are owned by individuals, solely or jointly, it is typical for the micro data on asset ownership to be collected at the household level, often from only one respondent per household. Even when the data are collected at the individual level, with identification of reported or documented owners of a given asset within the household, the information is still often solicited from a single respondent. Further, the identification of owners is seldom paired with the identification of individuals who hold various rights to assets, limiting understanding of the interrelationships among ownership and rights, and whether these relationships vary across individuals. Through a review of the existing approaches to data collection and the relevant literature on survey methodology, this paper presents an overview of the current best practices for collecting individual-level data on the ownership and control of assets in household and farm surveys. The paper provides recommendations in three areas: (1) respondent selection; (2) definition and measurement of assess to and ownership and control of assets; and (3) measurement of the quantity, value, and quality of assets. Open methodological questions that can be answered through analysis of existing data or the collection and analysis of new data are identified for future research
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 8
    Sprache: Englisch
    Seiten: 1 Online-Ressource
    Serie: World Bank E-Library Archive
    Serie: Other papers
    Kurzfassung: High resolution datasets of population density which accurately map sparsely distributed human populations do not exist at a global scale. Typically, population data is obtained using censuses and statistical modeling. More recently, methods using remotely-sensed data have emerged, capable of effectively identifying urbanized areas. Obtaining high accuracy in estimation of population distribution in rural areas remains a very challenging task due to the simultaneous requirements of sufficient sensitivity and resolution to detect very sparse populations through remote sensing as well as reliable performance at a global scale. Here, the authors present a computer vision method based on machine learning to create population maps from satellite imagery at a global scale, with a spatial sensitivity corresponding to individual buildings and suitable for global deployment
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