JOURNAL ARTICLE

VECTOR AUTOREGRESSIVE PROCESSES WITH NONLINEAR TIME TRENDS IN COINTEGRATING RELATIONS

Antti RipattiPentti

Year: 2001 Journal:   Macroeconomic Dynamics Vol: 5 (4)Pages: 577-597   Publisher: Cambridge University Press

Abstract

We extend the conventional cointegrated VAR model to allow for general nonlinear deterministic trends. These nonlinear trends can be used to model gradual structural changes in the intercept term of the cointegrating relations. A general asymptotic theory of estimation and statistical inference is reviewed and a diagnostic test for the correct specification of an employed nonlinear trend is developed. The methods are applied to Finnish interest-rate data. A smooth level shift of the logistic form between the own-yield of broad money and the short-term money market rate is found appropriate for these data. The level shift is motivated by the deregulation of issuing certificates of deposit and its inclusion in the model solves the puzzle of the “missing cointegration vector” found in a previous study.

Keywords:
Cointegration Econometrics Autoregressive model Nonlinear system Inference Economics Term (time) Statistical inference Vector autoregression Series (stratigraphy) Mathematics Error correction model Statistics Computer science

Metrics

47
Cited By
3.53
FWCI (Field Weighted Citation Impact)
1
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Monetary Policy and Economic Impact
Social Sciences →  Economics, Econometrics and Finance →  General Economics, Econometrics and Finance
Market Dynamics and Volatility
Social Sciences →  Economics, Econometrics and Finance →  Economics and Econometrics

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