Statistical matching deals with the problem of how to combine information collected in dierent samples taken from the same target population, but on partly dierent survey variables. The purpose of this paper is to analyze the statistical matching problem under informative sampling designs, when applying the sample likelihood approach. First, a conditional independence assumption is made, which allows to dene an identiable population model under which the conditions guaranteeing the identiability and estimability of the sample likelihood are investigated. Next, the uncertainty in statistical matching under informative sampling designs is discussed, with particular attention to the three-variate normal case. A simulation experiment illustrating the theoretical results is performed.
Marella, D., Pfeffermann, D. (2019). Matching Information from Two Independent Informative Samples. JOURNAL OF STATISTICAL PLANNING AND INFERENCE [10.1016/j.jspi.2019.03.001].
Matching Information from Two Independent Informative Samples
Marella D.;
2019-01-01
Abstract
Statistical matching deals with the problem of how to combine information collected in dierent samples taken from the same target population, but on partly dierent survey variables. The purpose of this paper is to analyze the statistical matching problem under informative sampling designs, when applying the sample likelihood approach. First, a conditional independence assumption is made, which allows to dene an identiable population model under which the conditions guaranteeing the identiability and estimability of the sample likelihood are investigated. Next, the uncertainty in statistical matching under informative sampling designs is discussed, with particular attention to the three-variate normal case. A simulation experiment illustrating the theoretical results is performed.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
