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Predicting US recessions with leading indicators via neural network models

Article Abstract:

The ability to predict US recessions with neural network models is evaluated through the use of different financial and economic indicators.

Author: Qi, Min
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
Computer networks, Neural networks, Recessions

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Comparison of regime switching, probit and logit models in dating and forecasting US business cycles

Article Abstract:

A probit specification, a Markov regime-switching specification and a logit specification are evaluated for their ability to predict US business cycles.

Author: Layton, Allan P., Katsuura, Masaki
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
Logits

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A new composite index of coincident economic indicators in Japan: how can we improve forecast performances?

Article Abstract:

A new composition index of Japan's coincident economic indicators of the 1990s utilizes the single-index dynamic factor model to assist in short run business cycle change forecasts.

Author: Fukuda, Shin-ichi, Onodera, Takashi
Publisher: Elsevier B.V.
Publication Name: International Journal of Forecasting
Subject: Economics
ISSN: 0169-2070
Year: 2001
Japan, Economic aspects, Economic indicators

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Subjects list: Statistical Data Included, Models, United States, Forecasts and trends, Econometrics, United States economic conditions, Business cycles, Business models, Economic forecasting
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