A theory of longitudinal microsimulation and its application to optimal policy comparisons: CS11-613/94-5E-PDF

"In this paper, first a general theory of the longitudinal microsimulation process is developed. This abstraction is used to identify an optimal microsimulation design permitting the use of statistically efficient policy comparison methodologies. Next, a statistical model for MSM is obtained from the theoretical representation to estimate and test policy effects and to demonstrate the gains from using the new design on important aspects of the statistical testing methodology (eg. power, sample size, significance level). One important outcome of the proposed MSM design is that dramatic reductions in sample size are uniformly achievable over conventional approaches at any specified level of significance and power for the testing procedure"--Abstract.

Permanent link to this Catalogue Record: What is a permanent link?
http://publications.gc.ca/pub?id=9.838995&sl=0
MARC XML Format   MARC HTML Format

Department/Agency Statistics Canada. Methodology Branch.
Title A theory of longitudinal microsimulation and its application to optimal policy comparisons
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-94-005 E." "Version II."
Date 1994.
Number of Pages 36 p.
Catalogue Number
  • CS11-613/94-5E-PDF
Departmental Catalogue Number 11-613E no. 94-05
Subject Terms Methodology, Statistical analysis