Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319985217> ?p ?o ?g. }
- W4319985217 endingPage "825" @default.
- W4319985217 startingPage "794" @default.
- W4319985217 abstract "Abstract Many European regions are currently experiencing a significant population decline and, related to this, are increasingly confronted with labour shortage. Migration is a main driver of changes in regional labour supply and the local level of human capital. A region's ability to attract residents thus becomes more and more important for its growth prospects. We use a large panel dataset for the period 2003 to 2017 to investigate the relationship between local attributes and the migration balance of regions in Germany. In particular, we examine whether the factors that determine the migration balance of regions significantly differ across age and skill groups because their contribution to regional human capital likely varies. Our econometric specification can be understood as an aggregate formulation of a two‐region random utility model. The dataset includes 30 factors that might potentially influence a region's migration balance. Given this large number of explanatory variables and significant multicollinearity issues, we apply machine learning techniques [least absolute shrinkage and selection operator (LASSO), complete subset regression] to identify important local characteristics. Our results point to a robust negative relationship between the net migration rate and population density, yet locations in close proximity to large urban centres seem to be rather attractive destination regions, and the size of the effects differs significantly across age and skill groups. Moreover, labour market conditions and some amenities are significantly correlated with the region's migration balance. However, the former and, in particular, facilities for vocational training matter primarily for young workers." @default.
- W4319985217 created "2023-02-11" @default.
- W4319985217 creator A5005789855 @default.
- W4319985217 creator A5025257305 @default.
- W4319985217 creator A5063321196 @default.
- W4319985217 creator A5082328349 @default.
- W4319985217 date "2023-03-01" @default.
- W4319985217 modified "2023-10-14" @default.
- W4319985217 title "Local attributes and migration balance – evidence for different age and skill groups from a machine learning approach" @default.
- W4319985217 cites W1933263173 @default.
- W4319985217 cites W1974612411 @default.
- W4319985217 cites W1980068810 @default.
- W4319985217 cites W1993704812 @default.
- W4319985217 cites W2006500135 @default.
- W4319985217 cites W2007395741 @default.
- W4319985217 cites W2025474683 @default.
- W4319985217 cites W2027189991 @default.
- W4319985217 cites W2032685550 @default.
- W4319985217 cites W2047161353 @default.
- W4319985217 cites W2062213102 @default.
- W4319985217 cites W2067082711 @default.
- W4319985217 cites W2082633986 @default.
- W4319985217 cites W2104831415 @default.
- W4319985217 cites W2107124640 @default.
- W4319985217 cites W2113794944 @default.
- W4319985217 cites W2114324846 @default.
- W4319985217 cites W2115288427 @default.
- W4319985217 cites W2117006084 @default.
- W4319985217 cites W2127546500 @default.
- W4319985217 cites W2138276126 @default.
- W4319985217 cites W2139244712 @default.
- W4319985217 cites W2139911591 @default.
- W4319985217 cites W2144814145 @default.
- W4319985217 cites W2153956015 @default.
- W4319985217 cites W2162356402 @default.
- W4319985217 cites W2165145543 @default.
- W4319985217 cites W2165948186 @default.
- W4319985217 cites W2167212973 @default.
- W4319985217 cites W2169815037 @default.
- W4319985217 cites W2254021743 @default.
- W4319985217 cites W2610886376 @default.
- W4319985217 cites W2774188746 @default.
- W4319985217 cites W2787894218 @default.
- W4319985217 cites W2890167809 @default.
- W4319985217 cites W2899503691 @default.
- W4319985217 cites W2921628179 @default.
- W4319985217 cites W2990358221 @default.
- W4319985217 cites W2996451003 @default.
- W4319985217 cites W3006808225 @default.
- W4319985217 cites W3121519629 @default.
- W4319985217 cites W3121995805 @default.
- W4319985217 cites W3122363245 @default.
- W4319985217 cites W3122681988 @default.
- W4319985217 cites W3123074044 @default.
- W4319985217 cites W3124759473 @default.
- W4319985217 cites W3125656997 @default.
- W4319985217 cites W3160872437 @default.
- W4319985217 cites W3176689605 @default.
- W4319985217 cites W4205171314 @default.
- W4319985217 cites W4220900491 @default.
- W4319985217 cites W4245128181 @default.
- W4319985217 cites W787198030 @default.
- W4319985217 doi "https://doi.org/10.1111/rsp3.12652" @default.
- W4319985217 hasPublicationYear "2023" @default.
- W4319985217 type Work @default.
- W4319985217 citedByCount "0" @default.
- W4319985217 crossrefType "journal-article" @default.
- W4319985217 hasAuthorship W4319985217A5005789855 @default.
- W4319985217 hasAuthorship W4319985217A5025257305 @default.
- W4319985217 hasAuthorship W4319985217A5063321196 @default.
- W4319985217 hasAuthorship W4319985217A5082328349 @default.
- W4319985217 hasBestOaLocation W43199852171 @default.
- W4319985217 hasConcept C105795698 @default.
- W4319985217 hasConcept C144024400 @default.
- W4319985217 hasConcept C149782125 @default.
- W4319985217 hasConcept C149923435 @default.
- W4319985217 hasConcept C152877465 @default.
- W4319985217 hasConcept C15744967 @default.
- W4319985217 hasConcept C162324750 @default.
- W4319985217 hasConcept C168031717 @default.
- W4319985217 hasConcept C169760540 @default.
- W4319985217 hasConcept C189285262 @default.
- W4319985217 hasConcept C21992297 @default.
- W4319985217 hasConcept C2776943663 @default.
- W4319985217 hasConcept C2908647359 @default.
- W4319985217 hasConcept C33923547 @default.
- W4319985217 hasConcept C4249254 @default.
- W4319985217 hasConcept C50522688 @default.
- W4319985217 hasConcept C77352025 @default.
- W4319985217 hasConceptScore W4319985217C105795698 @default.
- W4319985217 hasConceptScore W4319985217C144024400 @default.
- W4319985217 hasConceptScore W4319985217C149782125 @default.
- W4319985217 hasConceptScore W4319985217C149923435 @default.
- W4319985217 hasConceptScore W4319985217C152877465 @default.
- W4319985217 hasConceptScore W4319985217C15744967 @default.
- W4319985217 hasConceptScore W4319985217C162324750 @default.
- W4319985217 hasConceptScore W4319985217C168031717 @default.
- W4319985217 hasConceptScore W4319985217C169760540 @default.