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Ajuste de estimadores mediante la técnica de propensity score en encuestas complejas

Author

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  • Hugo Andrés Gutiérrez Rojas
  • Luisa Fernanda Rojas Niño

Abstract

Para enfrentar el sesgo que genera la ausencia de respuesta en los estimadores de totales de interés, es posible ajustar su forma funcional mediante la técnica de propensity score (PS). En este artículo se realizaron simulaciones de Monte Carlo bajo un esquema de muestreo proporcional al tamano sin reemplazo (PIPT) para comparar el desempeno de algunos estimadores ajustados mediante PS. Además, se utilizaron estos estimadores en la Gran Encuesta Integrada de Hogares (GEIH) y se compararon los resultados obtenidos, cotejando cuál es la mejor opción en términos de sesgo y eficiencia estadística. ******* The aim of this paper is to review some adjusted estimators of the population total by means of the Propensity Score (PS) technique to address nonresponse. In order to evaluate the performance of this approach, Monte Carlo simulations were implemented under without replacement proportional to size sampling (PIPS). We also used the proposed estimators in the Great Integrated Household Survey (GEIH) and compared the estimators in terms of bias and efficiency

Suggested Citation

  • Hugo Andrés Gutiérrez Rojas & Luisa Fernanda Rojas Niño, 2013. "Ajuste de estimadores mediante la técnica de propensity score en encuestas complejas," Revista IB 12671, Departamento Administrativo Nacional de Estadística - DANE.
  • Handle: RePEc:col:000482:012671
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