Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment

Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment

This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available. The proposed framework covers parameters from inequality measures and distribution function estima...

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Bibliographic Details
Main Authors: Luis Castro-Martín, María del Mar Rueda, Ramón Ferri-García
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Mathematics
Subjects:
nonprobability surveys
propensity score adjustment
survey sampling
Online Access:https://www.mdpi.com/2227-7390/8/11/2096

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