Machine-learning techniques in economics : new tools for predicting economic growth /: new tools for predicting economic growth. ([2017])

• Record Type: Book
• Further Information: Note: Atin Basuchoudary, James T. Bang, Tinni Sen.
• Authors: Basuchoudhary, Atin; Bang, James T; Sen, Tinni
• Contents: Why this Book? -- Data, Variables, and Their Sources -- Methodology -- Predicting Economic Growth: A First Look -- Predicting Economic Growth: Which Variables Matter? -- Predicting Recessions: What We Learn from Widening the Goalposts -- Epilogue.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2017
• Extent: 1 online resource, illustrations
• Subjects: 338.9; Economics; Economic development -- Forecasting; Economic forecasting; Machine learning; Management science; Economic growth; Econometrics; Data mining; Game theory; Social sciences -- Data processing; BUSINESS & ECONOMICS -- Industries -- General; Economic development -- Forecasting; Economic forecasting; Machine learning; Business & Economics -- Econometrics; Computers -- Database Management -- Data Mining; Mathematics -- Game Theory; Computers -- Data Processing; Econometrics; Data mining; Game theory; Society & social sciences; Business & Economics -- Development -- Economic Development; Economic growth; Economics; Economic Growth; Econometrics; Data Mining and Knowledge Discovery; Game Theory; Computer Appl. in Social and Behavioral Sciences; Electronic books; Electronic books
• Languages: English
• ISBNs: 9783319690148; 3319690140
• Related ISBNs: 9783319690131; 3319690132
• Notes: Note: Includes bibliographical references.; Note: Vendor-supplied metadata.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.