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Economic growth
Prognoseverfahren
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China
2,903
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2,711
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2,641
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Lin, Yeh-Yun
20
Beding, Tord
19
Chen, Jeffrey
19
Clements, Michael P.
19
Edvinsson, Leif
19
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16
Henry, Peter Blair
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Stevenson, Betsey
14
Wolfers, Justin
14
Fernald, John G.
12
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11
Sunde, Uwe
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10
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10
Kehoe, Timothy Jerome
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10
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9
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9
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9
Ruhl, Kim J.
9
Schiantarelli, Fabio
9
Schwerdt, Guido
9
Westermann, Frank
9
Wiederhold, Simon
9
Banerjee, Anindya
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Baumeister, Christiane
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Bergoeing, Raphael
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Edward Elgar Publishing
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Innocenzo Gasparini Institute for Economic Research <Mailand>
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Institut für Höhere Studien
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Institut für Weltwirtschaft
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Robert Schuman Centre for Advanced Studies
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Springer International Publishing
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European Institute for Comparative Urban Research
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Europäischer Fonds für Regionale Entwicklung
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Federal Reserve Bank of Chicago
1
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Federal Reserve Bank of St. Louis
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NBER working paper series
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Working paper / National Bureau of Economic Research, Inc.
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NBER Working Paper
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International journal of forecasting
37
Discussion paper / Centre for Economic Policy Research
29
SpringerLink / Bücher
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CESifo working papers
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IMF working papers
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Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
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Applied economics letters
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Journal of applied econometrics
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SpringerBriefs in Economics
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SpringerBriefs in economics
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ECB Working Paper
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National Institute economic review
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World Bank Policy Research Working Paper
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World development : the multi-disciplinary international journal devoted to the study and promotion of world development
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Business economics : the journal of the National Association for Business Economists
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Economia internazionale
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IZA Discussion Paper
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ECONIS (ZBW)
2,507
EconStor
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RePEc
1
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1
Forecasting public expenditure by using feed-forward neural networks
Magdalena, Radulescu
;
Logica, Banica
;
Zamfiroiu, Tatiana
- In:
Economic research
28
(
2015
)
1
,
pp. 668-686
Persistent link: https://www.econbiz.de/10012220779
Saved in:
2
Model selection via genetic algorithms illustrated with cross-country growth data
Acosta-González, Eduardo
;
Fernández Rodríguez, Fernando
- In:
Empirical economics : a journal of the Institute for …
33
(
2007
)
2
,
pp. 313-337
Persistent link: https://www.econbiz.de/10003529586
Saved in:
3
Quantification of survey expectations by means of symbolic regression via genetic programming to estimate economic growth in Central and Eastern European economies
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Eastern European economics
54
(
2016
)
2
,
pp. 171-189
Persistent link: https://www.econbiz.de/10011507863
Saved in:
4
Using survey data to forecast real activity with evolutionary algorithms : a cross-country analysis
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Journal of applied economics
20
(
2017
)
2
,
pp. 329-349
Persistent link: https://www.econbiz.de/10011950622
Saved in:
5
Economic forecasting with evolved confidence indicators
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Economic modelling
93
(
2020
),
pp. 576-585
Persistent link: https://www.econbiz.de/10012430273
Saved in:
6
Forecasting economic growth using an artificial neural network model
Pradhan, Rudra Prakash
;
Kumar, Ankit
- In:
Journal of financial management and analysis : …
21
(
2008
)
1
,
pp. 24-31
Persistent link: https://www.econbiz.de/10003809478
Saved in:
7
Hybridizing logistic regression with product unit and RBF networks for accurate detection and prediction of banking crises
Gutiérrez, P. A.
;
Segovia-Vargas, M. J.
;
Salcedo-Sanz, S.
- In:
Omega : the international journal of management science
38
(
2009/10
)
5
,
pp. 333-344
Persistent link: https://www.econbiz.de/10003963268
Saved in:
8
Application of artificial neural networks in tendency forecasting of economic growth
Feng, Lihua
;
Zhang, Jianzhen
- In:
Economic modelling
40
(
2014
),
pp. 76-80
Persistent link: https://www.econbiz.de/10010425731
Saved in:
9
An artificial neural network system of leading indicators
Blake, Andrew P.
(
contributor
)
-
1999
-
[Elektronische Ressource]
Persistent link: https://www.econbiz.de/10001557936
Saved in:
10
Forecasting Economic Growth Using an Artificial Neural Network Model
Pradhan, Rudra Prakash
-
2008
comparison
between ANN model and Linear Regression Model (LRM) to forecast the economic growth. The results confirmed that ANN …
Persistent link: https://www.econbiz.de/10012770336
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