Estimating the Size of the Homeless Population in Budapest, Hungary
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DOI: 10.1023/A:1016080606287
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References listed on IDEAS
- Peter D. Killworth & Christopher McCarty & H. Russell Bernard & Gene Ann Shelley & Eugene C. Johnsen, 1998. "Estimation of Seroprevalence, Rape, and Homelessness in the United States Using a Social Network Approach," Evaluation Review, , vol. 22(2), pages 289-308, April.
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Cited by:
- Galina Daraganova & Philippa Pattison, 2014. "Analysing human social networks," Chapters, in: Robert Stimson (ed.), Handbook of Research Methods and Applications in Spatially Integrated Social Science, chapter 21, pages 459-488, Edward Elgar Publishing.
- Hipp, Lena & Kohler, Ulrich & Leumann, Sandra, 2019. "How to Implement Respondent-Driven Sampling in Practice: Insights from Surveying 24-Hour Migrant Home Care Workers," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-13.
- Mark E. Piatek & Dankmar Böhning, 2024. "Deriving a zero-truncated modelling methodology to analyse capture–recapture data from self-reported social networks," METRON, Springer;Sapienza Università di Roma, vol. 82(2), pages 135-160, August.
- Brent Berry, 2007. "A Repeated Observation Approach for Estimating the Street Homeless Population," Evaluation Review, , vol. 31(2), pages 166-199, April.
- A. M. Coumans & M. Cruyff & P. G. M. Heijden & J. Wolf & H. Schmeets, 2017. "Estimating Homelessness in the Netherlands Using a Capture-Recapture Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 130(1), pages 189-212, January.
- Gomez, José Andrés & Merino, Bernat Roig & Tur, Antonio Aledo, 2010. "The identity of sociology or what to do when the universe is unknown: qualitative solutions against the quantitative obsession," Spatial and Organizational Dynamics Discussion Papers 2010-9, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
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Keywords
snowball sampling; capture-recapture; hidden population; homeless;All these keywords.
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