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It is common in empirical macroeconomics to fit vector autoregressive (VAR) models to construct estimates of impulse responses. An important preliminary step in impulse response analysis is the selection of the VAR lag order. In this paper, we compare the six lag-order selection criteria most...
Persistent link: https://www.econbiz.de/10005246307
In this paper we study various methods for detecting the co integrating rank as the number of variables gets large. We show that the use of standard tools will always lead to misleading inferences in such settings due to excessive size distortions. Particularly the LR test tends to produce too...
Persistent link: https://www.econbiz.de/10005042913
We propose a new Information Criterion for Impulse Response Function Matching estimators of the structural parameters of macroeconomic models. The main advantage of our procedure is that it allows the researcher to select the impulse responses that are most informative about the deep parameters,...
Persistent link: https://www.econbiz.de/10005787377
In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...
Persistent link: https://www.econbiz.de/10010299652
It is standard in applied work to select forecasting models by ranking candidate models by their prediction mean square error (PMSE) in simulated ou-of-sample (SOOS) forecasts. Alternatively, forecast models may be selected using information criteria (IC). We compare the asymptotic and...
Persistent link: https://www.econbiz.de/10011604260
As mixture regression models increasingly receive attention from both theory and practice, the question of selecting the correct number of segments gains urgency. A misspecification can lead to an under- or oversegmentation, thus resulting in flawed management decisions on customer targeting or...
Persistent link: https://www.econbiz.de/10010441542
Der folgende Beitrag befasst sich mit dem Problem der Modellselektion im Finite Mixture Partial Least Squares (FIMIX-PLS)-Ansatz. Dieser Ansatz, welcher der Methodengruppe der Mischverteilungsmodelle zuzuordnen ist, ermöglicht eine simultane Schätzung der Modellparameter bei gleichzeitiger...
Persistent link: https://www.econbiz.de/10010442185
In this article we examine how model selection in neural networks can be guided by statistical procedures such as hypotheses tests, information criteria and cross validation. The application of these methods in neural network models is discussed, paying attention especially to the identification...
Persistent link: https://www.econbiz.de/10011622013
Persistent link: https://www.econbiz.de/10004976808
Some convenient limit properties of usual information criteria are given for cointegrating rank selection. Allowing for a nonparametric short memory component and using a reduced rank regression with only a single lag, standard information criteria are shown to be weakly consistent in the choice...
Persistent link: https://www.econbiz.de/10005039557