How gender biased are female-headed household transfers in Egypt?

Abdellatif, Lobna; Ramadan, Mohamed; Elbakry, Sarah A.

doi:10.1080/17938120.2019.1668162

Cited by 6 publications

(5 citation statements)

References 9 publications

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“…They found that female-headed householders are, in reality, less likely to exist in impoverished households after governing for union status as the results from another study by Agnes et al (2001). In Egypt, Lobna, Ramadan, Abdel Latif, and Elbakry (2019) applied a Gender-Based Poverty Detection Model to provide a good detection of household poverty. They show that the vulnerable characteristics of females could be more influenced by the general household’s poverty than females’ headed households.…”

Section: Literature Reviewmentioning

confidence: 95%

Vulnerability of Poverty between Male and Female Headed Household in Tanzania

Mwakalila

2022

Journal of Family Issues

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The study analyzes how the male and female headship of households affects poverty vulnerability in Tanzania. The study uses a sample for the 2017–18 HBS covered the population residing in private households in Tanzania Mainland. A representative probability sample of 9,552 households was selected. Probit regression with instrument variables for the endogenous variable (education) is used for estimation. The results imply that, in general, female-headed households are less likely to face extreme poverty than their male counterparts. The study also reveals that extreme poverty is less likely with the female head when divorced or widowed. Finally, the results imply that extreme poverty varies across different regional zones in the country. Therefore, female in Tanzania can shield their households from extreme poverty.

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Section: Literature Reviewmentioning

confidence: 95%

Vulnerability of Poverty between Male and Female Headed Household in Tanzania

Mwakalila

2022

Journal of Family Issues

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“…More recent post Arab-Spring studies examined poverty dynamics for the whole population and different population groups (e.g., Dang and Ianchovichina, 2018). Yet, these studies do not investigate the gender prism; just a few studies explicitly examine poverty feminization related to FHHs but only on a single-country basis (AlAzzawi, 2018;Amara and Jemmali, 2018;AbdelLatif et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Mixed results exist regarding static poverty across countries. For example, comparison between MHHs and FHHs by self-reported headship revealed that for Egypt, FHHs are less likely to be poor(AlAzzawi, 2018;AbdelLatif et al, 2019) while the opposite result holds for Tunisia(Amara and Jemmali, 2018).3 For example, while social safety-net programs better address transient poverty (e.g., as they help prevent the nonpoor but vulnerable households from falling into poverty), longer-term investments in human capital and infrastructure can tackle chronic poverty. See, e.g.,Barret (2005) andRavallion (2016) for further discussion on different policy interventions regarding chronic poverty versus transitory poverty.…”

mentioning

confidence: 99%

Female Headship and Poverty in the Arab Region: Analysis of Trends and Dynamics Based on a New Typology

AlAzzawi,

Dang,

Hlasny

et al. 2024

Policy Research Working Papers

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Various challenges are thought to render female-headed households (FHHs) vulnerable to poverty in the Arab region. Yet, previous studies have mixed results and the absence of household panel survey data hinders analysis of poverty dynamics. We address these challenges by proposing a novel typology of FHHs and analyze synthetic panels that we constructed from 20 rounds of repeated cross-sectional surveys spanning the past two decades from Egypt, Iraq, Jordan, Mauritania, Palestine, and Tunisia. We find that the definition of FHHs matters for measuring poverty levels and dynamics. Most types of FHHs are less poor than non-FHHs on average, but FHHs with a major share of female adults are generally poorer. FHHs are more likely to escape poverty than households on average, but FHHs without children are most likely to do so. While more children are generally associated with more poverty for FHHs, there is heterogeneity across countries in addition to heterogeneity across FHH measures. Our findings provide useful inputs for social protection and employment programs aiming at reducing gender inequalities and poverty in the Arab region.

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“…Gender-based violence (GBV) is a globally widespread phenomenon and becoming an increasingly common component of violence across the world (Abdel Latif et al 2019 ; Savigny 2020 ). According to the estimates published by the World Health Organization (WHO), one out of three women faces gender-based violence in their lifetime globally.…”

Section: Introductionmentioning

confidence: 99%

Social mining for sustainable cities: thematic study of gender-based violence coverage in news articles and domestic violence in relation to COVID-19

Manzoor

Hassan

Muazzam

et al. 2022

J Ambient Intell Human Comput

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We argue that social computing and its diverse applications can contribute to the attainment of sustainable development goals (SDGs)—specifically to the SDGs concerning gender equality and empowerment of all women and girls, and to make cities and human settlements inclusive. To achieve the above goals for the sustainable growth of societies, it is crucial to study gender-based violence (GBV) in a smart city context, which is a common component of violence across socio-economic groups globally. This paper analyzes the nature of news articles reported in English newspapers of Pakistan, India, and the UK—accumulating 12,693 gender-based violence-related news articles. For the qualitative textual analysis, we employ Latent Dirichlet allocation for topic modeling and propose a Doc2Vec based word-embeddings model to classify gender-based violence-related content, called GBV2Vec. Further, by leveraging GBV2Vec, we also build an online tool that analyzes the sensitivity of Gender-based violence-related content from the textual data. We run a case study on GBV concerning COVID-19 by feeding the data collected through Google News API. Finally, we show different news reporting trends and the nature of the gender-based violence committed during the testing times of COVID-19. The approach and the toolkit that this paper proposes will be of great value to decision-makers and human rights activists, given the prompt and coordinated performance against gender-based violence in smart city context—and can contribute to the achievement of SDGs for sustainable growth of human societies.

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How gender biased are female-headed household transfers in Egypt?

Cited by 6 publications

References 9 publications

Vulnerability of Poverty between Male and Female Headed Household in Tanzania

Vulnerability of Poverty between Male and Female Headed Household in Tanzania

Female Headship and Poverty in the Arab Region: Analysis of Trends and Dynamics Based on a New Typology

Social mining for sustainable cities: thematic study of gender-based violence coverage in news articles and domestic violence in relation to COVID-19

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