×


 x 

Shopping cart
Jakub Bijak - Forecasting International Migration in Europe: A Bayesian View - 9789400733954 - V9789400733954
Stock image for illustration purposes only - book cover, edition or condition may vary.

Forecasting International Migration in Europe: A Bayesian View

€ 119.89
FREE Delivery in Ireland
Description for Forecasting International Migration in Europe: A Bayesian View Paperback. This book examines how to forecast the international migration component in a way that can be used for population forecasts using the probabilistic approach. It applies Bayesian statistical methods to an under-researched area of population forecasting. Series: The Springer Series on Demographic Methods and Population Analysis. Num Pages: 316 pages, biography. BIC Classification: JFFN; JHBD; PBT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 478.
International migration is becoming an increasingly important element of contemporary demographic dynamics and yet, due to its high volatility, it remains the most unpredictable element of population change. In Europe, population forecasting is especially difficult because good-quality data on migration are lacking. There is a clear need for reliable methods of predicting migration since population forecasts are indispensable for rational decision making in many areas, including labour markets, social security or spatial planning and organisation. In addressing these issues, this book adopts a Bayesian statistical perspective, which allows for a formal incorporation of expert judgement, while describing uncertainty ... Read more

Product Details

Format
Paperback
Publication date
2012
Publisher
Springer Netherlands
Number of pages
316
Condition
New
Series
The Springer Series on Demographic Methods and Population Analysis
Number of Pages
316
Place of Publication
Dordrecht, Netherlands
ISBN
9789400733954
SKU
V9789400733954
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

Reviews for Forecasting International Migration in Europe: A Bayesian View
From the reviews: “Forecasters know (or at least should know) that their forecasts never come true and that the magnitude of error increases with the forecast's horizon. Jakub Bijak proposes an elegant solution to this problem, namely an application of Bayesian statistics to migration forecasting. Methodology he proposes allows for quantification of forecast uncertainty, giving the forecast's user an ... Read more

Goodreads reviews for Forecasting International Migration in Europe: A Bayesian View


Subscribe to our newsletter

News on special offers, signed editions & more!