Forecasting the integration of immigrants
| Autor: | Pierluigi Contucci, Rickard Sandell, Seyedalireza Seyedi |
|---|---|
| Přispěvatelé: | Contucci, Pierluigi, Sandell, Rickard, Seyedi, Seyedalireza |
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Physics - Physics and Society
Sociology and Political Science media_common.quotation_subject Immigration Population Immigrant density FOS: Physical sciences Physics and Society (physics.soc-ph) 01 natural sciences 0103 physical sciences 050602 political science & public administration Sociology 010306 general physics Patterns media_common Algebra and Number Theory Statistical-mechanics 05 social sciences 0506 political science Dynamics Spain Assimilation Demographic economics Intermarriage Sociología Social and labor-market integration Social Sciences (miscellaneous) Forecasting |
| Zdroj: | e-Archivo. Repositorio Institucional de la Universidad Carlos III de Madrid instname |
| Popis: | This paper presents a quantitative framework for forecasting immigrant integration using immigrant density as the single driver. By comparing forecasted integration estimates based on data collected up to specific periods in time, with observed integration quantities beyond the specified period, we show that: Our forecasts are prompt-readily available after a short period of time, accurate-with a small relative error-and finally robust-able to predict integration correctly for several years to come. The research reported here proves that the proposed model of integration and its forecast framework are simple and effective tools to reduce uncertainties about how integration phenomena emerge and how they are likely to develop in response to increased migration levels in the future. 23 pages, 3 figures, 4 tables |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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