Matches in SemOpenAlex for { <https://semopenalex.org/work/W2903586432> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W2903586432 abstract "The use of classical regression techniques in social science can prevent the discovery of complex, non-linear mechanisms, and often relies too heavily on both the expertise and prior expectations of the data analyst. In this paper, we present a regression methodology that combines the interpretability of traditional, well used, statistical methods with the full predictability and flexibility of more recent machine learning techniques. Our modeling approach allow us to find and explain the mechanisms behind the rise of Radical Right-wing Populist parties (RRPs), that we would have been unable to find using traditional methods. Using Swedish municipality level data (2002-2014) we find no evidence, in direct contrast to earlier results, that `ethnic competition theory' explains the rise of the RRP, and we only find support for the `social marginality theory' for education levels. Instead, spatial location (latitude & longitude), time, and population density (together with education) are the significant variables that impact the change in support for the RRP, all other are redundant. We argue that our methodology, which produces models with considerably better fit of the complexity and non-linearities often found in social systems, provides a better tool for hypothesis testing and exploration of theories about RRPs and other social movements." @default.
- W2903586432 created "2018-12-22" @default.
- W2903586432 creator A5014611168 @default.
- W2903586432 creator A5021654408 @default.
- W2903586432 creator A5067047631 @default.
- W2903586432 date "2018-01-01" @default.
- W2903586432 modified "2023-09-24" @default.
- W2903586432 title "Explaining and Predicting the Rise of a Radical Right-Wing Party Using Gaussian Processes" @default.
- W2903586432 doi "https://doi.org/10.2139/ssrn.3246418" @default.
- W2903586432 hasPublicationYear "2018" @default.
- W2903586432 type Work @default.
- W2903586432 sameAs 2903586432 @default.
- W2903586432 citedByCount "1" @default.
- W2903586432 countsByYear W29035864322020 @default.
- W2903586432 crossrefType "journal-article" @default.
- W2903586432 hasAuthorship W2903586432A5014611168 @default.
- W2903586432 hasAuthorship W2903586432A5021654408 @default.
- W2903586432 hasAuthorship W2903586432A5067047631 @default.
- W2903586432 hasConcept C105795698 @default.
- W2903586432 hasConcept C119857082 @default.
- W2903586432 hasConcept C144024400 @default.
- W2903586432 hasConcept C149782125 @default.
- W2903586432 hasConcept C149923435 @default.
- W2903586432 hasConcept C162324750 @default.
- W2903586432 hasConcept C197640229 @default.
- W2903586432 hasConcept C2780598303 @default.
- W2903586432 hasConcept C2781067378 @default.
- W2903586432 hasConcept C2908647359 @default.
- W2903586432 hasConcept C33923547 @default.
- W2903586432 hasConcept C41008148 @default.
- W2903586432 hasConcept C83546350 @default.
- W2903586432 hasConceptScore W2903586432C105795698 @default.
- W2903586432 hasConceptScore W2903586432C119857082 @default.
- W2903586432 hasConceptScore W2903586432C144024400 @default.
- W2903586432 hasConceptScore W2903586432C149782125 @default.
- W2903586432 hasConceptScore W2903586432C149923435 @default.
- W2903586432 hasConceptScore W2903586432C162324750 @default.
- W2903586432 hasConceptScore W2903586432C197640229 @default.
- W2903586432 hasConceptScore W2903586432C2780598303 @default.
- W2903586432 hasConceptScore W2903586432C2781067378 @default.
- W2903586432 hasConceptScore W2903586432C2908647359 @default.
- W2903586432 hasConceptScore W2903586432C33923547 @default.
- W2903586432 hasConceptScore W2903586432C41008148 @default.
- W2903586432 hasConceptScore W2903586432C83546350 @default.
- W2903586432 hasLocation W29035864321 @default.
- W2903586432 hasOpenAccess W2903586432 @default.
- W2903586432 hasPrimaryLocation W29035864321 @default.
- W2903586432 hasRelatedWork W1600295183 @default.
- W2903586432 hasRelatedWork W1918535019 @default.
- W2903586432 hasRelatedWork W1973767321 @default.
- W2903586432 hasRelatedWork W1974285706 @default.
- W2903586432 hasRelatedWork W1978562175 @default.
- W2903586432 hasRelatedWork W2032332056 @default.
- W2903586432 hasRelatedWork W2092298252 @default.
- W2903586432 hasRelatedWork W2117062748 @default.
- W2903586432 hasRelatedWork W2117082895 @default.
- W2903586432 hasRelatedWork W2130162009 @default.
- W2903586432 hasRelatedWork W2152962053 @default.
- W2903586432 hasRelatedWork W2160010298 @default.
- W2903586432 hasRelatedWork W2167669508 @default.
- W2903586432 hasRelatedWork W2313664380 @default.
- W2903586432 hasRelatedWork W2318212007 @default.
- W2903586432 hasRelatedWork W2605166225 @default.
- W2903586432 hasRelatedWork W2966389627 @default.
- W2903586432 hasRelatedWork W3123229293 @default.
- W2903586432 hasRelatedWork W2181506023 @default.
- W2903586432 hasRelatedWork W2185168499 @default.
- W2903586432 isParatext "false" @default.
- W2903586432 isRetracted "false" @default.
- W2903586432 magId "2903586432" @default.
- W2903586432 workType "article" @default.