Introduction

Nico Keilman () and Stefano Mazzuco ()
Additional contact information
Nico Keilman: University of Oslo, Department of Economics
Stefano Mazzuco: University of Padova, Department of Statistical Sciences

Chapter Chapter 1 in Developments in Demographic Forecasting, 2020, pp 1-20 from Springer

Abstract: Abstract Future trends in population size, age structure, regional distribution, and other demographic variables are important for a wide range of planning situations. Hence, many statistical agencies and independent researchers compute demographic forecasts at various levels of detail. The primary aim of this book is to sketch new developments in the field of demographic forecasting. This chapter addresses various issues taken up by the authors of this volume. We discuss deterministic and probabilistic approaches to forecast uncertainty, Bayesian and frequentist perspectives, the role of experts compared to purely data driven methods, and ways to communicate forecast results to the users.

Date: 2020
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssdmcp:978-3-030-42472-5_1

Ordering information: This item can be ordered from
http://www.springer.com/9783030424725

DOI: 10.1007/978-3-030-42472-5_1

Access Statistics for this chapter

More chapters in The Springer Series on Demographic Methods and Population Analysis from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().