Machine-learning Techniques in Economics New Tools for Predicting Economic Growth /

This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technolo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Basuchoudhary, Atin (Συγγραφέας), Bang, James T. (Συγγραφέας), Sen, Tinni (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:SpringerBriefs in Economics,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
LEADER 02542nam a22005415i 4500
001 978-3-319-69014-8
003 DE-He213
005 20171227233927.0
007 cr nn 008mamaa
008 171227s2017 gw | s |||| 0|eng d
020 |a 9783319690148  |9 978-3-319-69014-8 
024 7 |a 10.1007/978-3-319-69014-8  |2 doi 
040 |d GrThAP 
050 4 |a HD72-88 
072 7 |a KCG  |2 bicssc 
072 7 |a BUS068000  |2 bisacsh 
082 0 4 |a 338.9  |2 23 
100 1 |a Basuchoudhary, Atin.  |e author. 
245 1 0 |a Machine-learning Techniques in Economics  |h [electronic resource] :  |b New Tools for Predicting Economic Growth /  |c by Atin Basuchoudhary, James T. Bang, Tinni Sen. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a VI, 94 p. 20 illus., 19 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Economics,  |x 2191-5504 
505 0 |a 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. 
520 |a This book develops a machine-learning framework for predicting economic growth. It can also be considered as a primer for using machine learning (also known as data mining or data analytics) to answer economic questions. While machine learning itself is not a new idea, advances in computing technology combined with a dawning realization of its applicability to economic questions makes it a new tool for economists. . 
650 0 |a Data mining. 
650 0 |a Application software. 
650 0 |a Econometrics. 
650 0 |a Game theory. 
650 0 |a Economic growth. 
650 1 4 |a Economics. 
650 2 4 |a Economic Growth. 
650 2 4 |a Econometrics. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Game Theory. 
650 2 4 |a Computer Appl. in Social and Behavioral Sciences. 
700 1 |a Bang, James T.  |e author. 
700 1 |a Sen, Tinni.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319690131 
830 0 |a SpringerBriefs in Economics,  |x 2191-5504 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-69014-8  |z Full Text via HEAL-Link 
912 |a ZDB-2-ECF 
950 |a Economics and Finance (Springer-41170)