This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 85
Type: Contributed
Date/Time: Sunday, August 1, 2010 : 4:00 PM to 5:50 PM
Sponsor: Section on Survey Research Methods
Abstract - #306741
Title: More for Less? Comparing Small-Area Estimation, Spatial Microsimulation, and Mass Imputation
Author(s): Stephen John Haslett*+ and Geoffrey Jones and Alasdair Dewar Noble and Dimitris Ballas
Companies: Massey University and Massey University and Massey University and University of Sheffield
Address: PO Box 11222, Palmerston North, International, 4442, New Zealand
Keywords: spatial microsimulation ; small area estimation ; mass imputation ; combining data

Combining data sources is often seen as a panacea, having the potential to produce more to produce cost-effective, accurate, fine-level statistics for a lower cost. This paper clarifies conditions under which Official Statistics data sources, particularly surveys and censuses or surveys and administrative sources, should and should not be combined using statistical models based on mass imputation, spatial microsimulation, and small area and domain estimation. The theoretical links between these three techniques are explored. The wider research from which this paper is a report considers the relevant literature in depth, further develops existing statistical methods, considers their application in principle to set of case studies in sociology, economics, and business, and provides guidelines for use of the three techniques based on this research.

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