Forecasting US output growth with non-linear models in the presence of data uncertainty
Year of publication: |
2012
|
---|---|
Authors: | Clements, Michael P. |
Published in: |
Studies in nonlinear dynamics and econometrics : SNDE ; quarterly publ. electronically on the internet. - Berlin : De Gruyter, ISSN 1558-3708, ZDB-ID 1385261-9. - Vol. 16.2012, 1, p. 1-25
|
Subject: | Theorie | Theory | Prognoseverfahren | Forecasting model | Wirtschaftswachstum | Economic growth | Bruttoinlandsprodukt | Gross domestic product | Nichtlineare Regression | Nonlinear regression |
Extent: | graph. Darst. |
---|---|
Type of publication: | Article |
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Systemvoraussetzungen: Acrobat Reader |
Other identifiers: | 10.1515/1558-3708.1865 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Macroeconomics, nonlinearities, and the business cycle
Reif, Magnus, (2019)
-
Chen, Chun-I., (2016)
-
Short-term GDP forecasting with a mixed-frequency dynamic factor model with stochastic volatility
Marcellino, Massimiliano, (2016)
- More ...
-
Economic forecasting: some lessons from recent research
Hendry, David F., (2001)
-
CLEMENTS, MICHAEL P., (2018)
-
Forecaster Efficiency, Accuracy, and Disagreement : Evidence Using IndividualāLevel Survey Data
CLEMENTS, MICHAEL P., (2021)
- More ...