Forecasting Migration and Integration Trends Using Digital Demography – A Case Study of Emigration Flows from Croatia to Austria and Germany

IF 0.5 Q3 AREA STUDIES Comparative Southeast European Studies Pub Date : 2022-03-01 DOI:10.1515/soeu-2021-0090
T. Jurić
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引用次数: 6

Abstract

Abstract This paper was created as a result of the observed instability of external emigration data from Croatian official data in comparison to data from the statistical offices of the European Union (Eurostat) and Germany (DESTATIS). In this study, the author presents a descriptive analysis of alternative data sources (big data), which could be useful for determining emigration flows from Croatia to Austria and Germany, as well as for estimating and forecasting. The second goal of this paper is to show that this approach can be useful for assessing the degree of cultural assimilation/integration of Croatian emigrants using the tools of Google Trends and Facebook Analytics. To estimate the model, linear regression was used to measure the correlation between the number of searches (x) and the number of moves (y) evidenced by the official statistics.
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用数字人口学预测移民和融合趋势——以克罗地亚到奥地利和德国的移民流动为例
本文是由于克罗地亚官方数据与欧盟(Eurostat)和德国(DESTATIS)统计局的数据相比,观察到外部移民数据的不稳定性而创建的。在这项研究中,作者对替代数据源(大数据)进行了描述性分析,这可能有助于确定从克罗地亚到奥地利和德国的移民流量,以及估计和预测。本文的第二个目标是表明,使用谷歌趋势和Facebook分析工具,这种方法可以用于评估克罗地亚移民的文化同化/融合程度。为了估计模型,使用线性回归来测量官方统计数据证明的搜索次数(x)和移动次数(y)之间的相关性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.70
自引率
33.30%
发文量
40
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