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National Income Dynamics Study 2008, Wave 1 Secure Data

South Africa, 2008
National Income Dynamics Study
DataFirst Secure Research Data Centre
Southern Africa Labour and Development Research Unit
Created on August 29, 2018 Last modified August 29, 2018 Page views 63476 Download 765 Metadata xml (ddi standard) json

Related publications

The data from this study are used in the following publications:
Found: 17
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1 Branson, Nicola, and Amy Kahn. "The post matriculation enrolment decision: Do public colleges provide students with a viable alternative? Evidence from the first four waves of the National Income Dynamics Study." SALDRU Working Paper Number 182 and NIDS Discussion Paper 2016/9 , no. 182 (2016).
2 Dowdall, Nicholas, Catherine L Ward, and Crick Lund. "The association between neighbourhood-level deprivation and depression: Evidence from the south african national income dynamics study." BMC Psychiatry 17, no. 1 (2017): 395.
3 Hjort, Jonas, and Jonas Poulsen. "The arrival of fast internet and employment in Africa." NBER Working Paper , no. 23582 (2018).
4 Cuadros, Diego F, Andrew Tomita, Alain Vandormael, Rob Slotow, Jonathan K Burns, and Frank Tanser. "Spatial structure of depression in South Africa: A longitudinal panel survey of a nationally representative sample of households." Scientific Reports 9, no. 979 (2019): 1-10.
5 Andrew Tomita, Diego F. Cuadros , Tafadzwanashe Mabhaudhi , Benn Sartorius , Busisiwe P. Ncama , Alan D. Dangour , Frank Tanser , Albert T. Modi , Rob Slotow , and Jonathan K. Burns. "Spatial clustering of food insecurity and its association with depression: A geospatial analysis of nationally representative South African data, 2008–2015." Scientific Reports 10, no. 13771 (2020).
6 Garlick, Robert. "Quality-quantity tradeoffs in pricing public secondary education." (2019).
7 Tomita, Andrew, Alain M Vandormael, Diego Cuadros, Rob Slotow, Frank Tanser, and Jonathan K Burns. "Proximity to healthcare clinic and depression risk in South Africa: Geospatial evidence from a nationally representative longitudinal study." Social Psychiatry and Psychiatric Epidemiology (2017).
8 Dowdall, Nicholas. "Neighbourhood-level deprivation and depression: Evidence from the South African National Income Dynamics Study." Honours, University of Cape Town, 2015.
9 Zoch, Asmus. "Measuring social and economic mobility in South Africa: New approaches to well-known survey data concerns." Doctoral Thesis, Stellenbosch University , 2016.
10 Tomita, Andrew, Alain M Vandormael, Diego Cuadros, Enrico Di Minin, Vuokko Heikinheimo, Frank Tanser, Rob Slotow, and Jonathan K Burns. "Green environment and incident depression in South Africa: A geospatial analysis and mental health implications in a resource-limited setting." The Lancet Planetary Health 1, no. 4 (2017): 152-162.
11 Kapwata, Thandi, and Samuel Manda. "Geographic assessment of access to health care in patients with cardiovascular disease in South Africa." BMC Health Services Research 18, no. 1 (2018): 197.
12 Tomita, Andrew, Diego F Cuadros, Jonathan K Burns, Frank Tanser, and Rob Slotow. "Exposure to waste sites and their impact on health: A panel and geospatial analysis of nationally representative data from South Africa, 2008–2015." Lancet Planet Health (2020).
13 Burger, Rulof P, Stephan Klasen, and Asmus Zoch. "Estimating income mobility when income is measured with error: The case of South Africa." ERSA working paper 607 , no. 607 (2016).
14 Picarelli, Nathalie. "Essays in Urban and Development Economics." PhD Thesis, London School of Economics and Political Science, 2017.
15 Kimani M, Ester. "Education and labor market outcomes in South Africa: Evidence from the National Income Dynamics Study." Doctor of Philosophy , University of Cape Town, 2015.
16 Branson, Nicola, and Tanya Byker. "Causes and consequences of teen childbearing: Evidence from a reproductive health intervention in South Africa." Journal of Health Economics 57 (2018) 221–235 , no. 57 (2018).
17 Weimann, Amy, Dajun Dai, and Tolu Oni. "A cross-sectional and spatial analysis of the prevalence of multimorbidity and its association with socioeconomic disadvantage in South Africa: A comparison between 2008 and 2012." Social Science & Medicine (2016).