Monographie

Inverse projection techniques: old and new approaches

Barbi, E., Bertino, S., Sonnino, E. (Eds.)
TitleDemographic research monographs 01
148 pages. Berlin [et al.], Springer (2004)
Open Access

Abstract

Inverse Projection is a method for estimating accurate demographic indicators of a population where vital registration data are available, but population censuses are lacking or unreliable. The book offers an overview of the present state of methodological development in the field of inverse projection techniques. In the various chapters of the book, leading experts in demography and related fields review the method, discuss recent developments, test performances, and stress differences of the various procedures. The book is intended for all scientists who are interested in the reconstruction of demographic scenarios in particular situations, with specific kinds of data, as well as for statisticians and mathematicians who are attracted by this fascinating field of application.

Full Text

Foreword

Preface

Contents

Reflections on Inverse Projection: Its Origins, Development, Extensions, and Relation to Forecasting
Ronald Lee

Using Information on the Age Distribution of Deaths in Population Reconstruction: An Extension of Inverse Projection with Applications
Alessandro Rosina

Testing Inverse Projection, Differentiated Inverse Projection and Stochastic Inverse Projection; A Reconstruction of the Population of Sardinia between 1861 and 1921 Using Three Different Techniques
Lorenzo Del Panta and Valerio Rodilossi

Comparing the Results from Generalised Inverse Projection and Stochastic Inverse Projection
Elisabetta Barbi and Jim Oeppen

Cohort Reproduction Patterns in Small Italian Towns: Results from Stochastic Inverse Projection
Salvatore Bertino and Eugenio Sonnino

Matthusian Checks: An Investigation into Sufficiency Conditions, Long-Term Dynamics and Implications for Inverse Projections
Alberto Palloni

Das Max-Planck-Institut für demografische Forschung (MPIDR) in Rostock ist eines der international führenden Zentren für Bevölkerungswissenschaft. Es gehört zur Max-Planck-Gesellschaft, einer der weltweit renommiertesten Forschungsgemeinschaften.