This session presents some small area estimation methodologies designed to treat situations where data have special characteristics, like: (1) coming from different sources (2) being geocoded, (3) containing information about individual level viewing exposures from television and digital media by PC in big data problems, and (4) integrating macro-level National Accounts data with micro-level survey data on wealth.
In Official Statistics, interest for data integration has been increasingly growing, due to the need of extracting information from different sources. However, the effects of these procedures on the validity of the resulting statistical analyses has been disregarded for a long time. In recent years, it has been largely recognized that linkage is not an […]
The Survey of Income and Program Participation (SIPP) is designed to make national level estimates of changes in income, eligibility for and participation in transfer programs, household and family composition, labor force behavior, and other associated events. Used cross-sectionally, the SIPP is the source for commonly accepted estimates of disability prevalence, having been cited in […]
One of the key audience estimates in marketing and media research is the number of unique persons in a subpopulation that viewed a television network, program, or episode in either one of two platforms: traditional television or digital media. The latter platform includes a personal computer (PC), mobile device, or electronic notebook. The viewing may […]
In recent years, there has been increased interest in data about the distribution of wealth. To address this need, Statistics Canada is building a series of annual tables integrating macro-level National Accounts data with micro-level survey data on wealth. This product adds a distributional component to Canada’s macroeconomic accounts, thereby giving a more complete picture […]