A two‐step procedure for testing partial parameter stability in cointegrated regression models

نویسندگان

چکیده

This article studies the problem of testing partial parameter stability in cointegrated regression models. The existing literature considers a variety models depending on whether all coefficients are allowed to change (pure structural change) or subset is held fixed (partial change). We first show that limit distributions test statistics latter case not invariant changes being tested; fact, they diverge as sample size increases. To address this issue, we propose simple two-step procedure for stability. entails application joint coefficients. Upon rejection, second conducts interest while allowing other at estimated breakpoints. Its distribution standard chi-square. relevant asymptotic theory provided along with simulations illustrate usefulness finite samples. In an US money demand, how proposed approach can be fruitfully employed estimate welfare cost inflation.

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ژورنال

عنوان ژورنال: Journal of Time Series Analysis

سال: 2021

ISSN: ['1467-9892', '0143-9782']

DOI: https://doi.org/10.1111/jtsa.12609