The Tendencies of the Internal and External Migration of the Republic of Armenia
In this paper, main determinants of internal and external migration from the communities of Armenia were reviewed. Based on the Human capital model of migration, ordinary regression models, as well as spatial econometrical models were estimated, particularly spatial autoregressive model and spatial...
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| Format: | Article |
| Language: | English |
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Yerevan State University
2017-11-01
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| Series: | Banber Erevani Hamalsarani. Sots'iologia |
| Subjects: | |
| Online Access: | https://journals.ysu.am/index.php/bulletin-ysu-sociology/article/view/6422 |
| _version_ | 1811240304616931328 |
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| author | Gagik Chakhoyan |
| author_facet | Gagik Chakhoyan |
| author_sort | Gagik Chakhoyan |
| collection | DOAJ |
| description |
In this paper, main determinants of internal and external migration from the communities of Armenia were reviewed. Based on the Human capital model of migration, ordinary regression models, as well as spatial econometrical models were estimated, particularly spatial autoregressive model and spatial error model. Geographically weighted regression was estimated in order to show the distribution of the determinants of migration on the map.
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| first_indexed | 2024-04-12T13:17:49Z |
| format | Article |
| id | doaj.art-d2e4c57124d949fda248701c7c56d1e8 |
| institution | Directory Open Access Journal |
| issn | 2579-2938 2738-263X |
| language | English |
| last_indexed | 2024-04-12T13:17:49Z |
| publishDate | 2017-11-01 |
| publisher | Yerevan State University |
| record_format | Article |
| series | Banber Erevani Hamalsarani. Sots'iologia |
| spelling | doaj.art-d2e4c57124d949fda248701c7c56d1e82022-12-22T03:31:38ZengYerevan State UniversityBanber Erevani Hamalsarani. Sots'iologia2579-29382738-263X2017-11-0183 (24)10.46991/BYSU:F/2017.8.3.054The Tendencies of the Internal and External Migration of the Republic of ArmeniaGagik Chakhoyan0Yerevan State University In this paper, main determinants of internal and external migration from the communities of Armenia were reviewed. Based on the Human capital model of migration, ordinary regression models, as well as spatial econometrical models were estimated, particularly spatial autoregressive model and spatial error model. Geographically weighted regression was estimated in order to show the distribution of the determinants of migration on the map. https://journals.ysu.am/index.php/bulletin-ysu-sociology/article/view/6422migration, territorial development index, human capital model of migration, spatial autocorrelation, spatial autoregressive model, spatial error model, geographically weighted regression |
| spellingShingle | Gagik Chakhoyan The Tendencies of the Internal and External Migration of the Republic of Armenia Banber Erevani Hamalsarani. Sots'iologia migration, territorial development index, human capital model of migration, spatial autocorrelation, spatial autoregressive model, spatial error model, geographically weighted regression |
| title | The Tendencies of the Internal and External Migration of the Republic of Armenia |
| title_full | The Tendencies of the Internal and External Migration of the Republic of Armenia |
| title_fullStr | The Tendencies of the Internal and External Migration of the Republic of Armenia |
| title_full_unstemmed | The Tendencies of the Internal and External Migration of the Republic of Armenia |
| title_short | The Tendencies of the Internal and External Migration of the Republic of Armenia |
| title_sort | tendencies of the internal and external migration of the republic of armenia |
| topic | migration, territorial development index, human capital model of migration, spatial autocorrelation, spatial autoregressive model, spatial error model, geographically weighted regression |
| url | https://journals.ysu.am/index.php/bulletin-ysu-sociology/article/view/6422 |
| work_keys_str_mv | AT gagikchakhoyan thetendenciesoftheinternalandexternalmigrationoftherepublicofarmenia AT gagikchakhoyan tendenciesoftheinternalandexternalmigrationoftherepublicofarmenia |