Improving the coherence of estimates from different survey using replicated sampling
64th ISI World Statistics Congress - Ottawa, Canada
Format: CPS Abstract
Keywords: coherence, sampling
Session: CPS 63 - Survey statistics VI
Tuesday 18 July 5:30 p.m. - 6:30 p.m. (Canada/Eastern)
Sampling method plays an important role in determining the quality of statistical data, including the coherence of survey data estimates from different sources. Sometimes, there are several surveys that produce the same indicator, but the sampling procedure of these several surveys are often conducted independently. By using independent sampling procedure, it is very possible that the data resulted will be less coherent due to the effect of different sampling methods. Therefore, the sampling method applied for these surveys needs to be developed and integrated. In this paper, the implementation of replicated sampling is used. Some different sampling scenarios are simulated. This simulation study has two main objectives: (1) to examine the correlation between the number of overlapping unit in the two surveys and the coherence of survey data; (2) to compare the data accuracy of this alternative method against independent sampling method. Data coherence is approximated by the difference between the estimate of the same indicator produced by the two surveys, while the accuracy is measured by the magnitude of the sampling variance and bias. The simulation results show that the replicated sampling method has better level of coherence and better level of accuracy than independent sampling methods.