The University of Southampton
University of Southampton Institutional Repository

MCMC simulations from the posterior distributions of European migration flows

MCMC simulations from the posterior distributions of European migration flows
MCMC simulations from the posterior distributions of European migration flows
This folder contains three RData files each containing MCMC simulations from the posterior distributions of a Bayesian hierarchal model used to estimate European migration flows, developed as part of the project Quantifying Migration Scenarios for Better Policy (QuantMig, www.quantmig.eu); see Aristotelous, Smith and Bijak (2022) for details. The first set of estimates are disaggregated by origin, destination and time, a breakdown which we denote as ODT. The second and third sets of estimates are again disaggregated by origin, destination and time, but they are additionally disaggregated by other factors. The second set is further disaggregated by age and sex and the third by just birth region. We respectively denote these breakdowns as ODAST and ODBT. Also, included in this folder is an R script to calculate summaries of these posterior distributions (means, and lower and upper quartiles) and output them to csv files, which are also in the folder. For further details, see deliverable_6_4_v1_2.pdf also in the folder.
Zenodo
Smith, Peter William Frederick
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Aristotelous, Georgios
015305da-429d-461a-9eb9-028a48fd0e4b
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66
Smith, Peter William Frederick
961a01a3-bf4c-43ca-9599-5be4fd5d3940
Aristotelous, Georgios
015305da-429d-461a-9eb9-028a48fd0e4b
Bijak, Jakub
e33bf9d3-fca6-405f-844c-4b2decf93c66

(2023) MCMC simulations from the posterior distributions of European migration flows. Zenodo doi:10.5281/zenodo.8224827 [Dataset]

Record type: Dataset

Abstract

This folder contains three RData files each containing MCMC simulations from the posterior distributions of a Bayesian hierarchal model used to estimate European migration flows, developed as part of the project Quantifying Migration Scenarios for Better Policy (QuantMig, www.quantmig.eu); see Aristotelous, Smith and Bijak (2022) for details. The first set of estimates are disaggregated by origin, destination and time, a breakdown which we denote as ODT. The second and third sets of estimates are again disaggregated by origin, destination and time, but they are additionally disaggregated by other factors. The second set is further disaggregated by age and sex and the third by just birth region. We respectively denote these breakdowns as ODAST and ODBT. Also, included in this folder is an R script to calculate summaries of these posterior distributions (means, and lower and upper quartiles) and output them to csv files, which are also in the folder. For further details, see deliverable_6_4_v1_2.pdf also in the folder.

This record has no associated files available for download.

More information

Published date: 8 August 2023

Identifiers

Local EPrints ID: 485194
URI: http://eprints.soton.ac.uk/id/eprint/485194
PURE UUID: 62455e38-85b7-4ac7-9fa0-461380a44233
ORCID for Peter William Frederick Smith: ORCID iD orcid.org/0000-0003-4423-5410
ORCID for Jakub Bijak: ORCID iD orcid.org/0000-0002-2563-5040

Catalogue record

Date deposited: 30 Nov 2023 18:00
Last modified: 01 Dec 2023 02:46

Export record

Altmetrics

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×