Chapter 2. The Conditional Independence Assumption

  1. Marcello D'Orazio,
  2. Marco Di Zio and
  3. Mauro Scanu

Published Online: 20 JUN 2006

DOI: 10.1002/0470023554.ch2

Statistical Matching: Theory and Practice

Statistical Matching: Theory and Practice

How to Cite

D'Orazio, M., Di Zio, M. and Scanu, M. (2006) The Conditional Independence Assumption, in Statistical Matching: Theory and Practice, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/0470023554.ch2

Author Information

  1. ISTAT – Istituto Nazionale di Statistica, Rome, Italy

Publication History

  1. Published Online: 20 JUN 2006
  2. Published Print: 24 MAR 2006

Book Series:

  1. Wiley Series in Survey Methodology

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780470023532

Online ISBN: 9780470023556



  • conditional independence assumption or CIA;
  • macro approach in parametric setting;
  • univariate normal distributions;
  • multinormal case;
  • conditional mean matching and predictive distribution draws;
  • nonparametric macro methods;
  • random hot deck and distance hot deck;
  • mixed methods;
  • Bayesian approach


This chapter contains sections titled:

  • The Macro Approach in a Parametric Setting

  • The Micro (Predictive) Approach in the Parametric Framework

  • Nonparametric Macro Methods

  • The Nonparametric Micro Approach

  • Mixed Methods

  • Comparison of Some Statistical Matching Procedures under the CIA

  • The Bayesian Approach

  • Other Identifiable Models