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Forecasting State Tax Revenues, Recessions and Their Uncertainties Using Mixed-Frequency Data, Model Averaging, Bootstrap, ROC Analysis and Machine Learning
Forecasting State Tax Revenues, Recessions and Their Uncertainties Using Mixed-Frequency Data, Model Averaging, Bootstrap, ROC Analysis and Machine Learning
상세정보
- 자료유형
- 학위논문
- Control Number
- 0015760246
- International Standard Book Number
- 9798664751994
- Dewey Decimal Classification Number
- 350
- Main Entry-Personal Name
- Yang, Cheng.
- Publication, Distribution, etc. (Imprint
- [Sl] : State University of New York at Albany, 2020
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2020
- Physical Description
- 162 p
- General Note
- Source: Dissertations Abstracts International, Volume: 82-03, Section: B.
- General Note
- Advisor: Lahiri, Kajal.
- Dissertation Note
- Thesis (Ph.D.)--State University of New York at Albany, 2020.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Public administration
- Subject Added Entry-Topical Term
- Artificial intelligence
- Subject Added Entry-Topical Term
- COVID-19
- Index Term-Uncontrolled
- Forecasting
- Index Term-Uncontrolled
- Recession
- Index Term-Uncontrolled
- Tax revenues
- Added Entry-Corporate Name
- State University of New York at Albany Economics
- Host Item Entry
- Dissertations Abstracts International. 82-03B.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:591609
MARC
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■020 ▼a9798664751994
■035 ▼a(MiAaPQ)AAI28031195
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a350
■1001 ▼aYang, Cheng.
■24510▼aForecasting State Tax Revenues, Recessions and Their Uncertainties Using Mixed-Frequency Data, Model Averaging, Bootstrap, ROC Analysis and Machine Learning
■260 ▼a[Sl]▼bState University of New York at Albany▼c2020
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2020
■300 ▼a162 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 82-03, Section: B.
■500 ▼aAdvisor: Lahiri, Kajal.
■5021 ▼aThesis (Ph.D.)--State University of New York at Albany, 2020.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0668.
■650 4▼aPublic administration
■650 4▼aArtificial intelligence
■650 4▼aCOVID-19
■653 ▼aForecasting
■653 ▼aRecession
■653 ▼aTax revenues
■690 ▼a0501
■690 ▼a0800
■690 ▼a0617
■71020▼aState University of New York at Albany▼bEconomics.
■7730 ▼tDissertations Abstracts International▼g82-03B.
■773 ▼tDissertation Abstract International
■790 ▼a0668
■791 ▼aPh.D.
■792 ▼a2020
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T15760246▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202102▼f2021
