Measurement of Multidimensional Child Poverty: Evidence from North Macedonia

Srbinoski, Bojan; Petreski, Blagica; Petreski, Marjan

doi:10.1007/s12187-022-09967-9

Cited by 3 publications

(2 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Therefore, in the absence of a universally accepted standard, we rely on the experiences and findings of various studies to set the multidimensional poverty threshold. The cutoff of 0.333 (33.33%) has been used in a number of studies to measure multidimensional child poverty, irrespective of the number of dimensions considered [ 13 , 22 , 52 , 53 ]. Here the poverty cutoff is denoted as 'k', and following the previous literature on MCP the cutoff point for being multidimensionally poor is set at k = 0.333.…”

Section: Methodsmentioning

confidence: 99%

Assessing reduction in multidimensional childhood poverty in India: a decomposition analysis

Pradhan,

Pradhan

2023

BMC Public Health

View full text Add to dashboard Cite

Background Empirically, the official measurement of multidimensional poverty often shows children as the poorest age group. According to Global Multidimensional Poverty Index report, Africa and South Asia bear the highest burden multidimensional child poverty (MCP). Around one-third of children aged 0–4 are multidimensionally poor in India. Policymakers in India must have appropriate information on child poverty to alleviate poverty. The purpose of this paper is to examine MCP trends and track efforts to reduce child poverty at the national level across geographic regions, castes, and religious groups. Methods We used the Alkire-Foster method to calculate the MCP index (MCPI) among children aged 0–4 using the latest two rounds of National Family Health Survey data (2015–16 and 2019–21). We applied the Shapley decomposition method to analyse the marginal contribution of incidence and intensity that lead to changes in MCPI. Results In India, the incidence of child poverty reduced by more than 40% between 2015–16 and 2019–21 (46.6–27.4%) and the MCPI reduced by half (24.2–12.6%). The relative decline in MCPI has been largest for urban areas, northern regions, Other Backward Classes (OBCs) and Hindus. Children from rural areas, Scheduled Castes (SCs), Scheduled Tribes (STs), and Muslim households are the poor performers. When focusing exclusively on the poor child, we found all the population subgroups and geographic locations reduced the censored headcount ratios in all 14 indicators. Across places of residence, castes, religions, and regions the, indicators like electricity, birth registration, drinking water, assisted delivery, sanitation and cooking fuel made significant improvements between 2015–16 to 2019–21. Conclusion The study indicates that by studying the MCPI over time, one can identify the priorities in policy development to achieve the Sustainable Development Goals.

show abstract

Section: Methodsmentioning

confidence: 99%

Assessing reduction in multidimensional childhood poverty in India: a decomposition analysis

Pradhan,

Pradhan

2023

BMC Public Health

View full text Add to dashboard Cite

show abstract

“…Berbagai literatur kemiskinan anak menemukan bahwa factor sosial demografi seperti karakteristik anak, karekteristik rumah tangga dan karateristik kepala rumah tangga diduga menjadi factor yang dapat mempengaruhi kemiskinan anak. Diantaranya adalah Srbinoski et al, (2021) menemukan bahwa pendidikan orang tua dan pendidikan anak serta jumlah anak dalam keluarga merupakan penentu penting kemiskinan anak. Ferrone & Chzhen, (2015) mengungkapkan bahwa pendidikan, jenis kelamin, status pernikahan dan status bekerja KRT serta jumlah anak, adalah faktor-faktor yang dapat memengaruhi kemiskinan anak.…”

Section: Introduction *unclassified

Analysis of Child Poverty Using a Multidimensional Approach in Indonesia

Mahlil Andre Putra,

Fery Andrianus,

Melinda Noer

2023

daengku j. hum. soc. sci. innov.

View full text Add to dashboard Cite

Poverty prevents children from being able to fulfill their basic rights such as their need to learn, access to basic services, obtain a better education and participate in society. This research was conducted to examine the multidimensional child poverty. The results showed that the percentage of children living in multidimensional poverty was 35,54 percent. In the age group of 0-6 years, the dimension that was most deprived was health, while in the age group of 7-17 years, the dimension that was most deprived was food. On average, 32,9 percent of children aged 0-6 years are deprived in two or more dimensions, and 33.9 percent of children aged 7-17 years are deprived in two or more dimensions of basic needs. This study used logistic regression as a research method to identified the probability of child being poor. The result showed that the number of children, occupation of the household head, region, education of the household head and gender of the household head were significant variables affecting children's likelihood of being poor, as well as the interaction variables between the number of children*occupation of household head, the number of children*region and the number of children*education of household head. However, the gender of the kids variables did not have a significant effect.

show abstract

An Individual-Specific Approach to Multidimensional Child Poverty in India: a Study of Regional Disparities

Kandapan

Pradhan

2023

Child Ind Res

View full text Add to dashboard Cite

Measurement of Multidimensional Child Poverty: Evidence from North Macedonia

Cited by 3 publications

References 24 publications

Assessing reduction in multidimensional childhood poverty in India: a decomposition analysis

Assessing reduction in multidimensional childhood poverty in India: a decomposition analysis

Analysis of Child Poverty Using a Multidimensional Approach in Indonesia

An Individual-Specific Approach to Multidimensional Child Poverty in India: a Study of Regional Disparities

Contact Info

Product

Resources

About