Advances in Econometrics
Econometrics is becoming a highly developed and highly mathematicized array of its own sub disciplines, as it should be, as economies are becoming increasingly complex, and scientific economic analyses require progressively thorough knowledge of solid quantitative methods. This book thus provides re...
Salvato in:
| Natura: | Online |
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| Lingua: | inglese |
| Pubblicazione: |
IntechOpen
2021
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| Soggetti: | |
| Accesso online: | ONIX_20210420_9789533075037_380 |
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| _version_ | 1863732420846551040 |
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| collection | Directory of Open Access Books |
| description | Econometrics is becoming a highly developed and highly mathematicized array of its own sub disciplines, as it should be, as economies are becoming increasingly complex, and scientific economic analyses require progressively thorough knowledge of solid quantitative methods. This book thus provides recent insight on some key issues in econometric theory and applications. The volume first focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models. Additionally, three recent econometric applications are presented: continuous time duration analysis, panel data analysis dealing with endogeneity and selectivity biases, and seemingly unrelated regression analysis. Intended as an electronic edition, providing immediate "open access" to its content, the book is easy to follow and will be of interest to professionals involved in econometrics. |
| format | Online |
| id | doab-20.500.12854ir-65024 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | IntechOpen |
| publisherStr | IntechOpen |
| record_format | ojs |
| spelling | doab-20.500.12854ir-650242024-03-30T02:53:52Z Advances in Econometrics Verbic, Miroslav Econometrics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics Econometrics is becoming a highly developed and highly mathematicized array of its own sub disciplines, as it should be, as economies are becoming increasingly complex, and scientific economic analyses require progressively thorough knowledge of solid quantitative methods. This book thus provides recent insight on some key issues in econometric theory and applications. The volume first focuses on three recent advances in econometric theory: non-parametric estimation, instrument generating functions, and seasonal volatility models. Additionally, three recent econometric applications are presented: continuous time duration analysis, panel data analysis dealing with endogeneity and selectivity biases, and seemingly unrelated regression analysis. Intended as an electronic edition, providing immediate "open access" to its content, the book is easy to follow and will be of interest to professionals involved in econometrics. 2021-04-20T15:07:14Z 2021-04-20T15:07:14Z 2011 book ONIX_20210420_9789533075037_380 9789533075037 9789535151012 https://directory.doabooks.org/handle/20.500.12854/65024 eng image/jpeg n/a https://www.intechopen.com/books https://mts.intechopen.com/storage/books/305/authors_book/authors_book.pdf IntechOpen IntechOpen 10.5772/828 10.5772/828 78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6 9789533075037 9789535151012 IntechOpen 128 open access |
| spellingShingle | Econometrics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics Advances in Econometrics |
| title | Advances in Econometrics |
| title_full | Advances in Econometrics |
| title_fullStr | Advances in Econometrics |
| title_full_unstemmed | Advances in Econometrics |
| title_short | Advances in Econometrics |
| title_sort | advances in econometrics |
| topic | Econometrics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics |
| topic_facet | Econometrics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics::KCH Econometrics and economic statistics |
| url | ONIX_20210420_9789533075037_380 |