BSS

Base Station Subsystem

CDR

Call Detail Records

CGI

Cell Global Identity

COVID-19

Coronavirus Disease of 2019

EU

European Union

EU-JRC

Joint Research Centre, European Commission

GPRS

General Packet Radio Service

GPS

Global Positioning System

GSM

Global System for Mobile communication

ICT

Information and Communications Technology

ID

Identity, Identification

IPDRs

Internet Protocol Detail Records

IT

Information Technology

LAI

Location Area Identity

LAU

Local Administrative Units

MNOs

Mobile Network Operators

MPD

Mobile Phone Data

MPD

Mobile Positioning Data

NSIs

National Statistical Institutes

NSO Geostat

National Statistics Office of Georgia

NSS

Network Switching Subsystem

SDG

Sustainable Development Goals

SHA

Stable Home Area

SIM

Subscriber Identity Module

SMS

Short Message Service

UN

United Nations

UNSD

United Nations Statistics Division

VLR

Visitor Location Register



Contents
Box, Tables and Figures
Preface
Acknowledgement
Abbreviations
1. Introduction
2. Background and context
2.1. The Rationale for using alternative data sources for migration statistics
2.2. Traditional versus new data sources
3. Basic considerations when using MPD for migrations statistics
3.1. Data quality, privacy and ethical aspects
3.2. Technical, financial and legal aspects
3.3. Limitations and caveats
4. Literature Review
4.1. Case study of Estonia and other EU countries
4.2. Case study of Namibia
5. Data sources and types
5.1. Data from systems of MNOs
5.1.1. Mobile phone event data – Active positioning data
5.1.2. Mobile phone event data – Passive positioning data
5.2. Data from social media
6. Methods
6.1. Basic concepts and definitions
6.2. Data processing algorithms
6.2.1. Estimating change of residence
6.2.2. Estimating internal migration
6.2.3. Estimating international migration
6.3. Quality assurance in using MPD for producing migration statistics
7. Conclusions
Glossary
References

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