title: Indirectly Estimating International Net Migration Flows by Age and Gender: The Community Demographic Model International Migration (CDM-IM) Dataset.
abstract: Although data for the total number of international migrant flows is now available, no global dataset concerning demographic characteristics, such as the age and gender composition of migrant flows exists. This paper reports on the methods used to generate the CDM-IM dataset of age and gender specific profiles of bilateral net (not gross) migrant flows. We employ raw data from the United Nations Global Migration Database and estimate net migrant flows by age and gender between two time points around the year 2000, accounting for various demographic processes (fertility, mortality). The dataset contains information on 3,713 net migrant flows. Validation analyses against existing data sets and the historical, geopolitical context demonstrate that the CDM-IM dataset is of reasonably high quality.
authors.affiliation: National Center of Atmospheric Research (NCAR), Climate and Global Dimensions Division (CGD), Integrated Assessment Modeling Group (IAM). ; University of Colorado at Boulder, Institute of Behavioral Sciences (IBS), CU Population Center.
authors.forename: Raphael J
authors.initials: RJ
authors.lastname: Nawrotzki
authors.affiliation: National Center of Atmospheric Research (NCAR), Climate and Global Dimensions Division (CGD), Integrated Assessment Modeling Group (IAM).
authors.forename: Leiwen
authors.initials: L
authors.lastname: Jiang
keywords: International net migration; age; bilateral net migrant flows; database; gender