Estimating wealth distributions using Statistics Canada’s small-area estimation tool


Session:

Multiple Data Sources, Data Linkage

Authors:
Cilanne Boulet (Statistics Canada) (Speaker)
Margaret Wu (Statistics Canada)
Abstract:

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 of the economic well-being of Canadian households.
In the past, Statistics Canada has conducted a survey of wealth only on an occasional basis. One of the major challenges of this project is to find a way to fill the relatively long gaps in the data between survey years. This talk will describe how area-level models bringing together income tax data and survey microdata are being used to address this problem. These models were built using Statistics Canada’s Generalized Estimation System that now includes a series of programs developed to produce small-area estimates. This atypical application is one of a handful of times small-area estimation has contributed to the production of a disseminated product at Statistics Canada.



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