Factors influencing the comparability of poverty estimates across household surveys

References

• Agüero, J, Carter, MR & May, J, 2005. Poverty and inequality in the first decade of democracy: Evidence from KwaZulu-Natal. Proceedings from the South African economic policy under democracy: A ten-year review seminar, 16–17 June, Stellenbosch.
   Google Scholar
• Ahmed, N, Brzozowski, M & Crossley, TF, 2006. Measurement errors in recall food consumption data. IFS Working Paper W06/21. Institute for Fiscal Studies, London.
   Google Scholar
• Ardington, C, Lam, D, Leibbrandt, M & Welch, M, 2006. The sensitivity to key data imputations of recent estimates of income poverty and inequality in South Africa. Economic Modelling 23(5), 822–835.
   Google Scholar
• Argent, J, Franklin, S, Keswell, M, Leibbrandt, M & Levinsohn, J, 2009. Expenditure: Report on NIDS Wave 1. Technical Paper No. 4. Southern African Labour and Development Research Unit, Cape Town.
   Google Scholar
• Battinstin, E, 2003. Errors in survey reports of consumption expenditures. IFS Working Papers WP03/07. Institute for Fiscal Studies, London.
   Google Scholar
• Bhorat, H & Van der Westhuizen, C, 2012. Poverty, inequality and the nature of economic growth in South Africa. DPRU Working Paper 12/151. Development Policy Research Unit, Cape Town.
   Google Scholar
• Branson, N & Wittenberg, M, 2014. Reweighting South African national household survey data to create a consistent series over time: A cross-entropy estimation approach. South African Journal of Economics 82(1), 19–38. doi: 10.1111/saje.12017
   Web of Science ®Google Scholar
• Browning, M, Crossley, TF & Weber, G, 2002. Asking consumption questions in general purpose surveys. SEDAP Research Paper No. 77. The Program for Research on Social and Economic Dimensions of an Aging Population (SEDAP), Hamilton.
   Google Scholar
• Cloutier, NR, 1988. Pareto extrapolation using grouped income data. Journal of Regional Science 28(3), 415–419. doi: 10.1111/j.1467-9787.1988.tb01092.x
   Web of Science ®Google Scholar
• Corti, L, 1993. Using diaries in social research. Social Research Update: March 1993. University of Surrey, Guildford.
   Google Scholar
• Deaton, A, 1997. The analysis of household surveys: A microeconomic approach to development policy. The John Hopkins University Press, Baltimore.
   Google Scholar
• Deaton, A, 2001. Counting the world's poor: Problems and possible solutions. World Bank Research Observer 16(2), 125–147. doi: 10.1093/wbro/16.2.125
   Web of Science ®Google Scholar
• Deaton, A, 2005. Measuring poverty in a growing world (or measuring growth in a poor world). The Review of Economics and Statistics 87(1), 1–19. doi: 10.1162/0034653053327612
   Web of Science ®Google Scholar
• Deaton, A & Grosh, M, 2000. Consumption. In Grosh, M. & Glewwe, P. (Eds.), Designing household survey questionnaire for developing countries: Lessons from 15 years of the living standards measurement study – Volume One. The World Bank, Washington, DC, 91–133.
   Google Scholar
• Fields, GS, 1989. A compendium of data on inequality and poverty for the developing world. Unpublished report, Cornell University, New York.
   Google Scholar
• Finn, A & Leibbrandt, M, 2013. The dynamics of poverty in the first three waves of NIDS. NIDS Discussion Paper 2013/1 and SALDRU Working Paper Series Number 119. Southern African Labour and Development Research Unit, Cape Town.
   Google Scholar
• Finn, A, Leibbrandt, M & Woolard, I, 2009. Income and expenditure inequality: Analysis of the NIDS wave 1 dataset. Discussion Paper No. 5. Southern Africa Labour and Development Research Unit, University of Cape Town, Cape Town.
   Google Scholar
• Gustavsson, M, 2004. Trends in the transitory variance of earnings: Evidence from Sweden 1960–1990 and a comparison with the United States. Uppsala University Economics Working Paper 2004:11. Uppsala University, Uppsala.
   Google Scholar
• Haughton, J & Khandker, SR, 2009. Handbook on poverty and inequality. The World Bank, Washington, DC.
   Google Scholar
• Hoogeveen, JG & Özler, B, 2006. Poverty and inequality in post-apartheid South Africa: 1995–2000. In Bhorat, H. & Kanbur, R. (Eds.), Poverty and policy in post-apartheid South Africa. Human Sciences Research Council, Cape Town, 59–94.
   Google Scholar
• Lacerda, M, Ardington, C & Leibbrandt, M, 2008. Sequential regression multiple imputation for incomplete multivariate data using Markov chain Monte Carlo. SALDRU Paper Series Number 13. Southern African Labour and Development Research Unit, University of Cape Town, Cape Town.
   Google Scholar
• Leibbrandt, M, Poswell, L, Naidoo, P & Welch, M, 2006. Measuring recent changes in South African inequality and poverty using 1996 and 2001 census data. In Bhorat, H. & Kanbur, R. (Eds.), Poverty and policies in post-apartheid South Africa. Human Sciences Research Council, Cape Town, 95–142.
   Google Scholar
• Leibbrandt, M, Woolard, I, Finn, A & Argent, J, 2010. Trends in South African income distribution and poverty since the fall of apartheid. OECD Social, Employment and Migration Working Papers No. 101. Organization for Economic Co-operation and Development, Paris.
   Google Scholar
• Malherbe, JE, 2007. An analysis of income and poverty in South Africa. Unpublished Master thesis, Stellenbosch University, Stellenbosch.
   Google Scholar
• Meth, C & Dias, R, 2004. Increases in poverty in South Africa, 1999–2002. Development Southern Africa 21(1), 59–85. doi: 10.1080/0376835042000181426
   Google Scholar
• Özler, B, 2007. Not separate, not equal, poverty and inequality in post-apartheid South Africa. Economic Development and Cultural Change 55(3), 487–529. doi: 10.1086/511191
   Web of Science ®Google Scholar
• Pauw, K & Mncube, L, 2007. The impact of growth and redistribution on poverty and inequality in South Africa. DPRU Working Paper 07/126. Development Policy Research Unit, Cape Town.
   Google Scholar
• Posel, D & Casale, D, 2005. Who replies in brackets and what are the implications for earnings estimates? An analysis of earnings data from South Africa. Proceedings of the Economic Society of South Africa Conference, 7–9 September, Durban.
   Google Scholar
• Raghunathan, TE, Lepkowski, JM, Van Hoewyk, J & Solenberger, P, 2001. A multivariate technique for multiply imputing missing values using a sequence of regression models. Survey Methodology 27(1), 85–95.
   Google Scholar
• Seiver, DA, 1979. A note of the measurement of income inequality with income data. The Review of Income and Wealth 25(2), 229–233. doi: 10.1111/j.1475-4991.1979.tb00096.x
   Google Scholar
• Simkins, C. (2004). What happened to the distribution of income in South Africa between 1995 and 2001? Unpublished paper. http://www.transformationaudit.org.za/research-database/academic-1/labourmarket/2000–2006/smikins/ Accessed 20 January 2015
   Google Scholar
• Stats SA (Statistics South Africa), 2006. Income and Expenditure Survey 2005/2006: Report on progress made. Statistics South Africa, Pretoria.
   Google Scholar
• Van der Berg, S & Louw, M, 2004. Changing patterns of South African income distribution: Towards time series estimates of distribution and poverty. South African Journal of Economics 72(3), 546–572. doi: 10.1111/j.1813-6982.2004.tb00125.x
   Web of Science ®Google Scholar
• Van der Berg, S, Louw, M & Du Toit, L, 2007a. Poverty trends since the transition: What we know. Stellenbosch University, Stellenbosch.
   Google Scholar
• Van der Berg, S, Louw, M & Yu, D, 2008. Post-transition poverty trends based on an alternative data source. South African Journal of Economics 76(1), 58–76. doi: 10.1111/j.1813-6982.2008.00161.x
   Web of Science ®Google Scholar
• Van der Berg, S, Burger, R, Burger, R, Louw, M & Yu, D, 2005. Trends in poverty and inequality since the political transition. Stellenbosch Economic Working Papers: 1/2005. Stellenbosch University, Stellenbosch.
   Google Scholar
• Van der Berg, S, Burger, R, Burger, RP, Louw, M & Yu, D, 2007b. A series of national accounts-consistent estimates of poverty and inequality in South Africa. Stellenbosch Economic Working Papers: 09/07. Stellenbosch University, Stellenbosch.
   Google Scholar
• Vermaak, C, 2005. Trends in income distribution, inequality and poverty in South Africa, 1995 to 2003. Proceedings of the Economic Society of South Africa Conference, 7–9 September, Durban.
   Google Scholar
• Vermaak, C, 2008. The impact of multiple imputation of coarsened data on estimates of the working poor in South Africa. Proceedings of the Development Policy Research Unit (DPRU) Conference, 27–29 October, Muldersdrift, South Africa.
   Google Scholar
• Von Fintel, D, 2006. Earnings bracket obstacles in household surveys – how sharp are the tools in the shed? Stellenbosch Economic Working Papers: 08/06. Stellenbosch University, Stellenbosch.
   Google Scholar
• Whiteford, A & McGrath, M, 1994. The distribution of income in South Africa. 1st edn. Human Sciences Research Council, Pretoria.
   Google Scholar
• Wiseman, V, Conteh, L & Matovu, F, 2005. Using diaries to collect data in resource-poor settings: Questions on design and implementation. Health Policy and Planning 20(6), 394–404. doi: 10.1093/heapol/czi042
   PubMed Web of Science ®Google Scholar
• Wittenberg, M, 2010. An introduction to maximum entropy and minimum cross-entropy estimation using Stata. Stata Journal 10(3), 315–330.
   Web of Science ®Google Scholar
• Woolard, I & Leibbrandt, M, 2006. Towards a poverty Line for South Africa: Background note. Southern Africa Labour and Development Research Unit, University of Cape Town, Cape Town.
   Google Scholar
• Yu, D, 2008. The comparability of Income and Expenditure Surveys 1995, 2000 and 2005/2006. Stellenbosch Economic Working Papers: 11/2008. Stellenbosch University, Stellenbosch.
   Google Scholar
• Yu, D, 2009. The comparability of Census 1996, Census 2001 and Community Survey 2007. Stellenbosch Economic Working Papers: 21/09. Stellenbosch University, Stellenbosch.
   Google Scholar