Academic literature on the topic 'Poverty measures'
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Journal articles on the topic "Poverty measures"
Bourguignon, François, and Gary S. Fields. "Poverty Measures and Anti-Poverty Policy." Recherches économiques de Louvain 56, no. 3-4 (1990): 409–27. http://dx.doi.org/10.1017/s0770451800043979.
Full textKouassi, Eugene, Pierre Mendy, Diaraf Seck, and Kern O. Kymn. "Dynamic Poverty Measures." Theoretical Economics Letters 01, no. 03 (2011): 63–69. http://dx.doi.org/10.4236/tel.2011.13014.
Full textZheng, Buhong. "Aggregate Poverty Measures." Journal of Economic Surveys 11, no. 2 (December 16, 2002): 123–62. http://dx.doi.org/10.1111/1467-6419.00028.
Full textGuan, Xinping. "Poverty and anti-poverty measures in China." China Journal of Social Work 7, no. 3 (September 2, 2014): 270–87. http://dx.doi.org/10.1080/17525098.2014.962758.
Full textLipman, Francine. "(Anti)Poverty Measures Exposed." Florida Tax Review 21, no. 2 (2018): 389–532. http://dx.doi.org/10.5744/ftr.2017.0006.
Full textBattilocchi, Gian Luca. "Educational poverty in Italy: concepts, measures and policies." Central European Journal of Educational Research 2, no. 1 (April 28, 2020): 1–10. http://dx.doi.org/10.37441/cejer/2020/2/1/5753.
Full textKumar, Pankaj. "A Retrospective Analysis of Measures of Poverty in India." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 637–40. http://dx.doi.org/10.15373/2249555x/august2014/167.
Full textKumar, Pankaj, and Dr P. K. Dam Dr P K Dam. "A Review of Different Measures of Poverty in India." Indian Journal of Applied Research 4, no. 8 (October 1, 2011): 644–47. http://dx.doi.org/10.15373/2249555x/august2014/169.
Full textZheng, Buhong. "Statistical inference for poverty measures with relative poverty lines." Journal of Econometrics 101, no. 2 (April 2001): 337–56. http://dx.doi.org/10.1016/s0304-4076(00)00088-9.
Full textSallila, Seppo, Heikki Hiilamo, and Reijo Sund. "Rethinking relative measures of poverty." Journal of European Social Policy 16, no. 2 (May 2006): 107–20. http://dx.doi.org/10.1177/0958928706062500.
Full textDissertations / Theses on the topic "Poverty measures"
Mensink, Julia. "Poverty measures : from production to use." Thesis, London School of Economics and Political Science (University of London), 2012. http://etheses.lse.ac.uk/281/.
Full textTrigger, David Scott, and n/a. "Does the way we measure poverty matter? : an analysis of alternative poverty measures with particular reference to changes in the level of poverty in Australia between 1975 and 1994." University of Canberra. Management & Technology, 2000. http://erl.canberra.edu.au./public/adt-AUC20061109.153010.
Full textKudebayeva, Alma. "Chronic poverty concepts and measures : an application to Kazakhstan." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/chronic-poverty-concepts-and-measures-an-application-to-kazakhstan(e836dffd-137b-4bd5-918c-c801bd3991ba).html.
Full textSchreiber, Andrew P. "Rethinking the Poverty Line| What Alternate Measures Indicate About Urban Poverty and Its Geographic Distribution." Thesis, Southern Illinois University at Edwardsville, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1545728.
Full textIn order to adequately address problems associated with poverty, definitions and measurements of the issue must first be understood. This goal is complex, as both the definitions and measurement of poverty are subjective and vary geographically and categorically. The commonly used American poverty measure (i.e. the "poverty line") has recently received criticism because of its limitations as an absolute measure that fails to recognize the relative nature of poverty. Such criticisms have led to the development of alternate poverty measures. However, no single measure has the ability to account for all factors associated with poverty. As such, it is important to understand the strengths and weaknesses of various poverty metrics.
The aim of this study is to identify the benefits and limitations of several alternate poverty measures by examining each measure in relation to cultural and social indicators. In this study, several alternate poverty measures are identified and applied to the St. Louis Region. Principal component analysis and multiple linear regression techniques are used in conjunction with census data from the St. Louis metropolitan statistical area to identify the social and cultural factors that are concomitant to poverty as measured by each of the alternate poverty metrics. The poverty measures are then compared based on the significance of each identified concomitant. Additionally, alternate poverty metrics are compared through an examination of maps created to show variations in geographic distribution. The distribution of poverty is measured geographically for each alternate measure and subsequently standardized for meaningful comparison between measures by mapping the variance of distribution.
Donbavand, Steven. "Model-based approaches to the estimation of poverty measures in small areas." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/383998/.
Full textMbewe, Samson. "Investigating household energy poverty in South Africa by using unidimensional and multidimensional measures." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29336.
Full textBakardijeva, Radostina, and Christoph Sowada. "The employment crisis, pensions and poverty in Bulgaria 1990-1998 : trends – consequences – preventative measures." Universität Potsdam, 1999. http://opus.kobv.de/ubp/volltexte/2011/4889/.
Full textRagno, Luigi. "Linking protection and promotion in poor households : social pension scheme and poverty reduction in urban Bangladesh : do cash-based social assistance measures promote more investments towards poverty exit?" Thesis, University of Manchester, 2014. https://www.research.manchester.ac.uk/portal/en/theses/linking-protection-and-promotion-in-poor-households-social-pension-scheme-and-poverty-reduction-in-urban-bangladeshdo-cashbased-social-assistance-measures-promote-more-investments-towards-poverty-exit(c427494d-41a5-424b-9e05-ad9448082f16).html.
Full textDawood, Ghalieb. "Applying fuzzy-set theoretic poverty measures within a developmental local government context : the Khayelitsha - Mitchell's Plain case study." Thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/6759.
Full textThis paper attempts to demonstrate the importance of the linkage between the presence of poverty and the nature of governance, something largely omitted from poverty studies in South Africa. The context of this investigation was the establishment of the new local government model (i.e. Developmental Local Government), which puts governance at the forefront of addressing poverty effectively. The new governance model adopts a multidimensional poverty paradigm in its Integrated Development Planning (IDP). However, in this study we have examined whether the approach adopted (i.e. Basic Needs) is necessarily the best multidimensional approach available. We have given preference to the capabilities approach with its emphasis on well-being where people are the beneficiaries of development rather than the basic needs approach where the emphasis is on goods and services as a means to good life. Sen's Capabilities Approach was operationalised by adopting a relatively new methodology (Le. fuzzy-set theoretic poverty measures) for measuring multidimensional poverty in the Khayelitsha Mitchell's Plain (KMP) magisterial district using the Census 2001 dataset. Our results show that unemployment, housing and low incomes need the most attention in KMP. Furthermore, the fuzzy-set measures, which view poverty as opaque and vague, yield more detailed policy information, thus preventing the single-policy response dominating many IDPs at present. As a medium term policy response, it is suggested that the implementation of the extended public works programme in KMP has the potential to significantly address both the material and non-material capability failure existing in KMP.
Mahmood, Tahir [Verfasser], Xiaohua [Akademischer Betreuer] Yu, Stephan [Gutachter] Klasen, and Sebastian [Gutachter] Vollmer. "Essays on Comparing Poverty Measures, Gender Differences in Subjective Well-being, Food Insecurity and Malnutrition in Pakistan : Do the Poor really Feel Poor? Comparing Objective Poverty with Subjective Poverty in Pakistan / Tahir Mahmood ; Gutachter: Stephan Klasen, Sebastian Vollmer ; Betreuer: Xiaohua Yu." Göttingen : Niedersächsische Staats- und Universitätsbibliothek Göttingen, 2018. http://d-nb.info/1164231189/34.
Full textBooks on the topic "Poverty measures"
Short, Kathleen. Experimental poverty measures: 1999. Washington, DC: U.S. Dept. of Commerce, Economic and Statistics Administration, Bureau of the Census, 2001.
Find full textCowell, F. A. Poverty measures, inequality and decomposability. London: Taxation, Incentives and the Distribution of Income Programme, 1987.
Find full textZheng, Buhong. A survey on aggregate poverty measures. Denver, Colo: CRESP, Center for Research on Economic and Social Policy, University of Colorado at Denver, 1996.
Find full textIceland, John. Poverty among working families: Findings from experimental poverty measures, 1998. Washington, D.C: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2000.
Find full textIceland, John. Poverty among working families: Findings from experimental poverty measures, 1998. [Washington, DC: U.S. Dept. of Commerce, Economics and Statistics Administration, U.S. Census Bureau, 2000.
Find full textSreenivas, Iyengar N., ed. Poverty and sustainable development: Concepts and measures. New Delhi: Deep & Deep Publications, 2010.
Find full textConference, Indian Economic Association. Poverty and sustainable development: Concepts and measures. New Delhi: Deep & Deep Publications, 2010.
Find full textConference, Indian Economic Association. Poverty and sustainable development: Concepts and measures. New Delhi: Deep & Deep Publications, 2010.
Find full textConference, Indian Economic Association. Poverty and sustainable development: Concepts and measures. New Delhi: Deep & Deep Publications, 2010.
Find full textLamberte, Exaltacion E. Going beyond income measures in mapping poverty. Manila, Philippines: National Statistics Office, 2003.
Find full textBook chapters on the topic "Poverty measures"
Mehta, Aasha Kapur, and Shashanka Bhide. "Poverty Trends and Measures." In Poverty, Chronic Poverty and Poverty Dynamics, 9–36. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0677-8_2.
Full textBerry, Sara. "Poverty Counts: Living with Poverty and Poverty Measures." In The Many Dimensions of Poverty, 36–51. London: Palgrave Macmillan UK, 2013. http://dx.doi.org/10.1057/9780230592407_3.
Full textAlkire, Sabina. "Multidimensional Poverty Measures as Policy Tools." In Philosophy and Poverty, 197–214. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-31711-9_12.
Full textAgola, Nathaniel O., and Joseph L. Awange. "Traditional Measures of Poverty Lines." In Globalized Poverty and Environment, 61–71. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39733-2_5.
Full textAgola, Nathaniel O., and Joseph L. Awange. "Poverty Measures and Dichotomy of Urban-Rural Poverty." In Globalized Poverty and Environment, 111–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39733-2_9.
Full textLemmi, Achille, and Tomasz Panek. "Regional and Local Poverty Measures." In Analysis of Poverty Data by Small Area Estimation, 19–40. Chichester, UK: John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118814963.ch2.
Full textChakravarty, Satya R. "Ethically Flexible Measures of Poverty." In Poverty, Social Exclusion and Stochastic Dominance, 13–26. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3432-0_2.
Full textCowell, Frank A. "Poverty Measures, Inequality and Decomposability." In Welfare and Efficiency in Public Economics, 149–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-73370-3_5.
Full textFields, Gary S. "Should Poverty and Inequality Measures be Combined?" In Poverty, Inequality and Development, 67–74. Boston, MA: Springer US, 2006. http://dx.doi.org/10.1007/0-387-29748-0_5.
Full textCastleman, Tony, James E. Foster, and Stephen C. Smith. "Person Equivalent Headcount Measures of Poverty." In Inequality and Growth: Patterns and Policy, 101–30. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/9781137554543_3.
Full textConference papers on the topic "Poverty measures"
Garcia-Lapresta, Jose Luis, Casilda Laso de la Vega, Ricardo Alberto Marques Pereira, and Ana Urrutia. "A new class of fuzzy poverty measures." In 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15). Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.161.
Full textLi, Xinghua, and Quanlu Lin. "Study on the Causes of Poverty in the Northwest Contiguous Poverty-Stricken Area and its Anti-Poverty Measures." In 2017 2nd International Conference on Education, Management Science and Economics (ICEMSE 2017). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/icemse-17.2017.56.
Full textTkachenko, Alexander A. "Is there a joint field of cooperation among the BRICS countries in measures against poverty and extreme poverty?" In Proceedings of the External Challenges and Risks for Russia in the Context of the World Community’s Transition to Polycentrism: Economics, Finance and Business (ICEFB 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/icefb-19.2019.16.
Full textZhang, Yuping, and Wenbin Liu. "Research on key measures of Precision Poverty Reduction in Rural Areas." In 8th International Conference on Education, Management, Information and Management Society (EMIM 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/emim-18.2018.108.
Full textVillaverde, Karen, Nagwa Albehery, Tonghui Wang, and Vladik Kreinovich. "Semi-heuristic poverty measures used by economists: Justification motivated by fuzzy techniques." In 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2012. http://dx.doi.org/10.1109/fuzz-ieee.2012.6251285.
Full textLong, Kody. "Persistence of Poverty: How Measures of Socioeconomic Status Have Changed Over Time." In 2021 AERA Annual Meeting. Washington DC: AERA, 2021. http://dx.doi.org/10.3102/1682909.
Full textPutian, Pu. "RELOCATION AS A MODE OF POVERTY ALLEVIATION: CASE STUDY OF JINGGU COUNTY, YUNNAN PROVINCE." In Chinese Studies in the 21st Century. Buryat State University Publishing Department, 2022. http://dx.doi.org/10.18101/978-5-9793-1802-8-2022-128-142.
Full textDurgun, Özlem. "Child Poverty in Turkey." In International Conference on Eurasian Economies. Eurasian Economists Association, 2016. http://dx.doi.org/10.36880/c07.01711.
Full textFeng, Shuangpeng, and Chaoming Ou. "Research on Effective Configuration of Re-poverty Governance Measures: Based on fsQCA Analysis." In 2021 7th International Conference on Big Data and Information Analytics (BigDIA). IEEE, 2021. http://dx.doi.org/10.1109/bigdia53151.2021.9619688.
Full textStevenson, Phillip D., Christopher A. Mattson, Kenneth M. Bryden, and Nordica A. MacCarty. "Towards a Universal Social Impact Metric for Engineered Products That Alleviate Poverty." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67584.
Full textReports on the topic "Poverty measures"
Ravallion, Martin, and Shaohua Chen. Welfare-Consistent Global Poverty Measures. Cambridge, MA: National Bureau of Economic Research, August 2017. http://dx.doi.org/10.3386/w23739.
Full textAlkire, Sabina, and José Manuel Roche. Beyond Headcount: Measures that Reflect the Breadth and Components of Child Poverty. University of Oxford, July 2011. http://dx.doi.org/10.35648/20.500.12413/11781/ii018.
Full textYalonetzky, Gaston. Conditions for the most robust multidimensional poverty comparisons using counting measures and ordinal variables. ECINEQ, June 2012. http://dx.doi.org/10.35648/20.500.12413/11781/ii034.
Full textHurd, Michael, and Susann Rohwedder. Economic Well-Being at Older Ages: Income- and Consumption-Based Poverty Measures in the HRS. Cambridge, MA: National Bureau of Economic Research, November 2006. http://dx.doi.org/10.3386/w12680.
Full textWu, Jinhua. Approaches to Eradicate Absolute Poverty in Guangdong Province, the People’s Republic of China. Asian Development Bank, December 2021. http://dx.doi.org/10.22617/wps210503-2.
Full textNolan, Brian, Brenda Gannon, Richard Layte, Dorothy Watson, Christopher T. Whelan, and James Williams. Monitoring Poverty Trends in Ireland: Results from the 2000 Living in Ireland survey. ESRI, July 2002. http://dx.doi.org/10.26504/prs45.
Full textKaffenberger, Michelle, Lant Pritchett, and Martina Viarengo. Towards a Right to Learn: Concepts and Measurement of Global Education Poverty. Research on Improving Systems of Education (RISE), December 2021. http://dx.doi.org/10.35489/bsg-rise-wp_2021/085.
Full textFox, Liana, Irwin Garfinkel, Neeraj Kaushal, Jane Waldfogel, and Christopher Wimer. Waging War on Poverty: Historical Trends in Poverty Using the Supplemental Poverty Measure. Cambridge, MA: National Bureau of Economic Research, January 2014. http://dx.doi.org/10.3386/w19789.
Full textKorenman, Sanders, and Dahlia Remler. Rethinking Elderly Poverty: Time for a Health Inclusive Poverty Measure? Cambridge, MA: National Bureau of Economic Research, March 2013. http://dx.doi.org/10.3386/w18900.
Full textFitzgerald, John, and Robert Moffitt. The Supplemental Poverty Measure: A New Method for Measuring Poverty. Cambridge, MA: National Bureau of Economic Research, May 2022. http://dx.doi.org/10.3386/w30056.
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