Text

Model-Based Demography : Essays On integrating Data, Technique and Theory

---

Late in a career of more than sixty years, Thomas Burch, an internationally known social demographer, undertook a wide-ranging methodological critique of demography. This open access volume contains a selection of resulting papers, some previously unpublished, some published but not readily accessible. Rejecting the idea that demography is simply a branch of applied statistics, his work views it as an autonomous and complete scientific discipline. When viewed from the perspective of modern philosophy of science, specifically the semantic or model-based school, demography is a balanced discipline, with a rich body of techniques and data, but also with more and better theories than generally recognized. As demonstrated in this book, some demographic techniques can also be seen as theoretical models, and some substantive/behavioral models, commonly rejected as theory because of inconsistent observations, are now seen as valuable theoretical models, for example demographic transition theory. This book shows how demography can build a strong theoretical edifice on its broad and deep empirical foundation by adoption of the model-based approach to science. But the full-fruits of this approach will require demographers to make greater use of computer modeling in the statement and manipulation of theoretical ideas, as well as for numerical computation.

---

Availability

No copy data

Detail Information

Series Title

-

Call Number

650

Publisher

Cham : Springer Cham., 2018

Collation

XVIII, 200

Language

English

ISBN/ISSN

9783319654324

Classification

650

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Business & Economics

Specific Detail Info

-

Statement of Responsibility

Thomas K. Burch

Other Information

Cataloger

rat

Source

https://openresearchlibrary.org/content/c2270cc1-1048-43fc-88e2-b5a5c69a9830

Validator

kholif Basri

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-3-319-65433-1

Journal Volume

-

Journal Issue

-

Subtitle

-

Parallel Title

-

Other version/related

File Attachment

Comments

---

You must be logged in to post a comment