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Sampling Distributions of Relative Poverty Statistics

Citations

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Cited by:

  1. Buhong Zheng, 2004. "Poverty comparisons with dependent samples," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(3), pages 419-428.
  2. Kevin Denny, 2002. "New methods for comparing literacy across populations: insights from the measurement of poverty," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 165(3), pages 481-493, October.
  3. Kenneth R. Simler & Channing Arndt, 2007. "Poverty Comparisons With Absolute Poverty Lines Estimated From Survey Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 53(2), pages 275-294, June.
  4. Keshab Raj Bhattarai, 2007. "Capital Accumulation, Growth and Redistribution: General Equilibrium Impacts of Energy and Pollution Taxes in UK," Energy and Environmental Modeling 2007 24000005, EcoMod.
  5. Shan Luo & Gengsheng Qin, 2017. "New non-parametric inferences for low-income proportions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 69(3), pages 599-626, June.
  6. Russell Davidson & Jean-Yves Duclos, 2000. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
  7. Channing Arndt & Kenneth R. Simler, 2007. "Consistent poverty comparisons and inference," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 133-139, September.
  8. Stephen P. Jenkins & Christian Schluter, 2003. "Why Are Child Poverty Rates Higher in Britain than in Germany?: A Longitudinal Perspective," Journal of Human Resources, University of Wisconsin Press, vol. 38(2).
  9. Bhattarai, Keshab, 2010. "Strategic And General Equilibrium Models In Poverty Measurement Studies," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 137-150, March.
  10. Oguz Alper Melike & Berger Yves G., 2015. "Variance Estimation of Change in Poverty Rates: an Application to the Turkish EU-SILC Survey," Journal of Official Statistics, Sciendo, vol. 31(2), pages 155-175, June.
  11. Drechsler, Jörg & Kiesl, Hans, 2014. "Beat the heap - an imputation strategy for valid inferences from rounded income data," IAB-Discussion Paper 201402, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  12. Verbist, Gerlinde & Goedemé, Tim & Van den Bosch, Karel & Salanauskaite, Lina, 2013. "Testing the statistical significance of microsimulation results: often easier than you think. A technical note," EUROMOD Working Papers EM18/13, EUROMOD at the Institute for Social and Economic Research.
  13. Simler, Kenneth R. & Arndt, Channing, 2006. "Poverty Comparisons with Endogenous Absolute Poverty Lines," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25775, International Association of Agricultural Economists.
  14. Zheng, Buhong, 2001. "Statistical inference for poverty measures with relative poverty lines," Journal of Econometrics, Elsevier, vol. 101(2), pages 337-356, April.
  15. Tim Goedemé, 2010. "The standard error of estimates based on EU-SILC. An exploration through the Europe 2020 poverty indicators," Working Papers 1009, Herman Deleeck Centre for Social Policy, University of Antwerp.
  16. Tim Goedemé & Diego Collado, 2016. "The EU Convergence Machine at Work. To the Benefit of the EU's Poorest Citizens?," Journal of Common Market Studies, Wiley Blackwell, vol. 54(5), pages 1142-1158, September.
  17. Tim Goedemé & Lorena Zardo Trindade & Frank Vandenbroucke, 2017. "A Pan-European Perspective on Low-Income Dynamics in the EU," Working Papers 1703, Herman Deleeck Centre for Social Policy, University of Antwerp.
  18. Vijay Verma & Gianni Betti, 2011. "Taylor linearization sampling errors and design effects for poverty measures and other complex statistics," Journal of Applied Statistics, Taylor & Francis Journals, vol. 38(8), pages 1549-1576, August.
  19. Russell Davidson, 2010. "Innis Lecture: Inference on income distributions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 43(4), pages 1122-1148, November.
  20. P. Jenkins, Stephen & Schluter, Christian, 2001. "Why are child poverty rates higher in Britain than in Germany? a longitudinal perspective -working paper-," ISER Working Paper Series 2001-16, Institute for Social and Economic Research.
  21. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
  22. Brennan S. Thompson, 2013. "Empirical Likelihood-Based Inference for Poverty Measures with Relative Poverty Lines," Econometric Reviews, Taylor & Francis Journals, vol. 32(4), pages 513-523, December.
  23. Gianni Betti & Francesca Gagliardi, 2018. "Extension of JRR Method for Variance Estimation of Net Changes in Inequality Measures," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 137(1), pages 45-60, May.
  24. Yves G. Berger & Chris J. Skinner, 2003. "Variance estimation for a low income proportion," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(4), pages 457-468, October.
  25. Goedemé, Tim & Decerf, Benoit & Van den Bosch, Karel, 2020. "A new poverty indicator for Europe: the extended headcount ratio," INET Oxford Working Papers 2020-26, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
  26. Keshab Raj Bhattarai, 2007. "Analyses of Poverty and Income Redistribution," EcoMod2007 23900007, EcoMod.
  27. Ilaria Benedetti & Gianni Betti & Federico Crescenzi, 2020. "Measuring Child Poverty and Its Uncertainty: A Case Study of 33 European Countries," Sustainability, MDPI, vol. 12(19), pages 1-12, October.
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