Una revisión de la metodología de estimación a través de muestreo por cadenas referenciales para las proporciones de una población oculta
A review of the methodology of estimation trough respondent-driven sampling for proportions of a hidden population
Abstract (en)
This article reviews some of the most important results about a new method of sampling and estimation for populations where there is no sampling frame, this is known as Respondent-Driven Sampling (RDS). A theoretical analysis based on Markov chains shows that this method reduces the bias generally associated with chain-reference samples; in addition the method produces asymptotically unbiased estimators. We demonstrated the potential of the method through an empirical simulation.Abstract (es)
References
Heckathorn, D. D. (1997), ‘Respondent-driven sampling: A new approach to thestudy of hidden populations’, Social Problems44(174-199).
Heckathorn, D. D. (2002), ‘Respondent-driven sampling ii: Deriving valid population estimates from chain-referral samples of hidden populations’, Social Problems 49(11-34).
Heckathorn, D. D. (2007), ‘Extensions of respondent-driven sampling: Analyzing continuous variables and controlling for differential recruitment’, Sociological Methodology37(151-208).
Salganik, M. J. & Heckathorn, D. D. (2004), ‘Sampling and estimation in hid-den populations using respondent-driven sampling’, Sociological Methodology 34(193-239)
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