Small Area Estimation of teleworking indicators
64th ISI World Statistics Congress - Ottawa, Canada
Format: CPS Abstract
Keywords: covid-19, data, experiment
Session: CPS 19 - Statistical estimation III
Monday 17 July 4 p.m. - 5:25 p.m. (Canada/Eastern)
In a designed survey, sample sizes are usually not sufficient to generate reliable direct estimates for small domain. The use of valid statistical models can provide small area estimates with greater precision, that is, the Small Area Estimation (SAE) is an appropriate statistical models that link survey data to auxiliary data available for the entire population to produce reliable indirect estimates. In other words, SAE borrows strength through auxiliary information. In this study, we propose to estimate small area population parameters by using (Prasad and Rao (1986, 1990) for the Fay-Herriot model, the technique produces estimates of parameters for finer geographic detail. We focus on teleworking or working remotely as particular parameter of interest. Model performance is evaluated, and small area estimates are generated for almost a full coverage of domain defined as Self-contained Labour Area, for good producing and services providing industries.