Variance estimation in longitudinal microsimulation: CS11-613/93-10E-PDF

"As a policy development tool, longitudinal microsimulation (MS) modelling is widely used in researching the impact of various policy scenarios on certain characteristics of interest in a hypothetical but representative population. In this context, microsimulation output has analytical and inferential uses rather than merely providing data to construct simple point estimates for descriptive purposes. In general, MS output is autocorrelated so that the direct application of simple variance estimation techniques is inappropriate. The present work addresses the question of how the correlated nature of observations 'collected' during long-run simulation can be overcome. The emphasis is on the design of the MS experiment and the proper choice of the variance estimator. Two designs are considered, the independent runs and the batched run design, and three variance estimators are compared regarding their statistical properties. These ideas are applied to sequences of data produced by the Canadian Population Health Model (POHEM)"--Abstract.

Permanent link to this Catalogue Record: What is a permanent link?
MARC XML Format   MARC HTML Format

Department/Agency Statistics Canada. Social Survey Methods Division.
Title Variance estimation in longitudinal microsimulation
Series Title Working paper ;
Publication Type Series - View Master Record
Language [English]
Format Electronic
Electronic Document

Archived Content

Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please contact the authoring department to request a format other than those available.

We invite you to consult the Frequently Asked Questions page for additional information regarding the Archived Content notice.

Having trouble opening this document?

Note: The URLs contained in this/these document(s) may no longer be functional
Note Digitized edition from print [produced by Statistics Canada]. "SSMD-93-010 E." "August 1993."
Date 1993.
Number of Pages 28 p. :
Catalogue Number
  • CS11-613/93-10E-PDF
Departmental Catalogue Number 11-613
Subject Terms Surveys, Methodology