Measuring Poverty in the Case of Buenos Aires: Why Time Deficits Matter

Antonopoulos, Rania; Esquivel, Valeria; Masterson, Thomas; Zacharias, Ajit

doi:10.2139/ssrn.2776670

Cited by 7 publications

(8 citation statements)

References 9 publications

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“…The two Antonopoulos et al (2012aAntonopoulos et al ( , 2012b studies on Argentina, Chile and Mexico also calculated income-poverty lines adjusted for time-deficits (the values for their poverty thresholds was unfortunately not clearly revealed in the study). There were about 5-9% (Argentina 5%, Chile 7% and Mexico 9%) hidden poor (of the total population) excluded by the official income-poor measures of these countries.…”

Section: Time Deficit Approachmentioning

confidence: 99%

Defining and measuring time poverty in South Africa

Nackerdien

2022

Development Southern Africa

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This study primarily adopted the absolute approach to examine time poverty in South Africa by analysing the 2000 and 2010 Time Use Survey data. The findings indicated that absolute timepoor individuals were predominantly young unmarried female Africans who had incomplete primary education, were inactive in the labour market and resided in bigger-sized households in KwaZulu-Natal and Gauteng. Examining the relationship between money-metric poverty and absolute time poverty, the results showed the proportion of people who were both income-and time-poor decreased whereas the percentage of individuals who were neither income-nor time-poor increased over time. Last, money-metric, multidimensional non-money-metric and absolute time poverty headcount rates all declined between 2000 and 2010, but the extent of decrease was greatest in the first rate.

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Section: Time Deficit Approachmentioning

confidence: 99%

Defining and measuring time poverty in South Africa

Nackerdien

2022

Development Southern Africa

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“…Un primer problema que se identifica en la investigación es que, en el tercer trimestre de 2013, en la Provincia de Santa Fe, una de cada cinco personas mayores de 18 años, aquejadas por una sobrecarga de trabajo (remunerado y no remunerado), no contaba con el tiempo necesario para alcanzar un nivel de vida digno. Este porcentaje resulta superior a la pobreza de tiempo de Rosario en 2010, de 13% (Andreozzi et al, 2018), e inferior a la de Buenos Aires en 2009, del 32% (Antonopoulos et al, 2016)…”

Section: Consideraciones Finalesunclassified

El tiempo y el género como determinantes de la pobreza: un análisis para la Provincia de Santa Fe en 2013

Ramseyer

2024

Astrolabio

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Este trabajo se propone calcular la pobreza de tiempo en la Provincia de Santa Fe en el tercer trimestre de 2013 a partir de la encuesta sobre trabajo no remunerado y uso de tiempo del Indec, utilizando la metodología cuantitativa de Zacharías, Antonopoulos y Masterson (2012). Los objetivos específicos son, en primer lugar, estimar la pobreza de tiempo individual; en segundo lugar, calcular la pobreza de tiempo según la estructura demográfica de los hogares; y en tercer lugar, analizar cómo se distribuye el trabajo remunerado y no remunerado según el sexo. Entre los resultados del trabajo, se encontró que las mujeres de 18 años o más dedicaban más tiempo que los varones al trabajo doméstico y de cuidados no remunerado, mientras que ocurría lo inverso con el trabajo remunerado. Respecto de la pobreza de tiempo, se observó que el 20,2% de las personas de 18 años o más eran pobres de tiempo, de las cuales el 75,7% eran mujeres. Asimismo, el 40,4% de los hogares encuestados eran pobres de tiempo. Por último, se encontró que de todas las personas de 17 años o menos, el 80,6% pertenecían a un hogar pobre de tiempo.

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“…Empirical studies show that the official poverty is significantly deeper than the one indicated by the standard measure, which does not take into account the aspect of time. One can distinguish the individuals and households that are not classified as poor, but their time allocation leads them to poverty (Antonopoulos et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Examining similarities in time allocation amongst European Countries

Hozer-Koćmiel,

Lis

2016

SiTns

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The aim of the article is to analyse the similarities between the selected European countries in terms of time allocation. Time allocation has been defined as the daily distribution of time to various activities. Professional work time, domestic work time and leisure time are the most important for the economic approach. It has been proved that there are coherent groups of countries with similar structure of time allocation. The taxonomic methods used in order to verify the thesis included: cluster analysis, k-means method, generalised distance measure GDM and interval taxonomic method TMI. The analysis was performed on the basis of HETUS data.

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Measuring Poverty in the Case of Buenos Aires: Why Time Deficits Matter

Cited by 7 publications

References 9 publications

Defining and measuring time poverty in South Africa

Defining and measuring time poverty in South Africa

El tiempo y el género como determinantes de la pobreza: un análisis para la Provincia de Santa Fe en 2013

Examining similarities in time allocation amongst European Countries

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