From hostels to CRUs: Spaces of perpetual perplexity

Xulu, Nomkhosi

doi:10.1080/21528586.2014.887919

Cited by 5 publications

(3 citation statements)

References 7 publications

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“…Worker hostels are a dwelling type related to South Africa's long history of oscillating labour migration (Thurman, 1997; Xulu, 2014). During and prior to apartheid, labour migration was typified by Black African men living for long periods of time close to their site of work, and remitting to their families in rural areas and homelands (Wilson, 2001).…”

Section: Problems With the Survey Weight Calibration In The Ohs‐ghs S...mentioning

confidence: 99%

“…In many instances, wives and families were prohibited from co‐residing and only short‐term visits controlled by a permit‐system were allowed (Thurman, 1997). After apartheid ended, these restrictions were lifted and women and children moved in, but many hostels fell into disrepair, lacked municipal servicing and reports of violence escalated in correspondence with rising unemployment (Marais & Venter, 2006; Xulu, 2014). Today, the structures of hostels remain and the post‐apartheid government has put forward changing policies about how to deal with them, but in general, they occupy a contested and unresolved space in South Africa's housing landscape (Marais & Venter, 2006; Xulu, 2014).…”

Section: Problems With the Survey Weight Calibration In The Ohs‐ghs S...mentioning

confidence: 99%

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Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households

Thornton

Wittenberg

2022

South African J Economics

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The October Household Surveys (OHS) (1994–1999) and the General Household Surveys (GHS) (2002–present) collected by StatsSA comprise South Africa's only nationally representative time series with information on both people and households for (almost) every year of the post‐apartheid period. However, the quality of these data has been compromised by how the survey weights have been calibrated. We document these problems and their implications in detail and then use cross‐entropy estimation to recalibrate the survey weights for a stacked version of these surveys between 1995 and 2011 to address these weaknesses. The first issue with the weights is that calibration procedure breaks with sampling practise by calibrating person and household weights separately. This creates conceptual problems because the data are not properly representative of the population. It also creates statistical problems, including that a series of total population and household counts cannot be reliably extracted from the series, which is typically a first‐order output for such a time series. Second, the series of household counts extracted from the GHS is probably too low. Third, no compensation is made by the survey weights for the chronic undersampling of small households over the entire period. Our new weights make headway in resolving these issues.

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Section: Problems With the Survey Weight Calibration In The Ohs‐ghs S...mentioning

confidence: 99%

Section: Problems With the Survey Weight Calibration In The Ohs‐ghs S...mentioning

confidence: 99%

Reweighting the OHS and GHS to improve data quality: Representativeness, household counts, and small households

Thornton

Wittenberg

2022

South African J Economics

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“…Worker hostels were meant to transition to normal housing units after apartheid ended, but have become contested spaces as they have fallen into disrepair and some have become associated with gang violence (Thurman, 1997;Xulu, 2014).…”

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confidence: 99%

Leaving the parental home in post‐apartheid South Africa

Thornton

2023

Population Space and Place

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The process by which young people leave home in South Africa is central for understanding the lives of the country's young adult population, as well as, their role in the structural household change that has occurred over the post‐apartheid period. However, hardly any quantitative work has been conducted on this process and no work exists on trends. This study provides nationally representative trends of home‐leaving for young adults in South Africa for the first time using a stacked series of annual cross‐sections between 1995 and 2011. Different home‐leaving rates by race converged in the late 90s and steadied in the 2000s. Most South Africans only left home by age 25—but whether this can be interpreted as ‘delayed’ or not is complicated by diverse family patterns and the presence of stretched households. Home‐leavers are especially dependent on labour market income in the absence of social grants targeted at the large unemployed young adult population. Since young women face higher unemployment rates than young men, women were notably more reliant than men on marriage as a pathway out of the parental home. Over time, young male home‐leavers are living alone at higher rates, meaning they have contributed to general household proliferation.

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