Estimating sampling errors for movements in the UK index of production

This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

Methodology for estimating the sampling error of the non-seasonally adjusted estimate of level of the Index of Production (IoP) has previously been developed using Taylor linearization and parametric bootstrap methods, with both producing comparable results. From the study, it was considered that the parametric bootstrap approach would be more practical to implement. This paper describes the methodology that is being developed to estimate the sampling error of the non-seasonally adjusted IoP change using the parametric bootstrap method, along with the data that are needed from the contributing surveys, the assumptions made, and the practical problems encountered during development.