What factors determine unequal suburbanisation? New evidence from Warsaw, Poland

Honorata Bogusz, Szymon Winnicki and Piotr Wójcik
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Szymon Winnicki: Faculty of Economic Sciences, University of Warsaw

No 2020-34, Working Papers from Faculty of Economic Sciences, University of Warsaw

Abstract: This article investigates the causes of spatially uneven migration from Warsaw to its suburban boroughs. The method is based on the gravity model of migration extended by additional measures of possible pulling factors. We report a novel approach to modelling suburbanisation: several linear and non-linear predictive models are estimated and explainable AI methods are used to interpret the shape of relationships between the dependent variable and the most important regressors. It is confirmed that migrants choose boroughs of better amenities and of smaller distance to Warsaw city center.

Keywords: suburbanisation; gravity model of migration; machine learning models; explainable artificial intelligence (search for similar items in EconPapers)
JEL-codes: C14 C51 C52 P25 R23 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2020
New Economics Papers: this item is included in nep-big, nep-mig, nep-ore, nep-tra and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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https://www.wne.uw.edu.pl/index.php/download_file/5886/ First version, 2020 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:war:wpaper:2020-34

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