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.
منابع مشابه
Testing for Parameter Stability in Dynamic Models across Frequencies∗
This paper contributes to the econometric literature on structural breaks by proposing a test for parameter stability in VAR models at a particular frequency ω, where ω ∈ [0, π]. When a dynamic model is affected by a structural break, the new tests allow for detecting which frequencies of the data are responsible for parameter instability. If the model is locally stable at the frequencies of in...
متن کاملTesting Stability of Regression Discontinuity Models∗
Regression discontinuity (RD) models are commonly used to nonparametrically identify and estimate a local average treatment e ect. Dong and Lewbel (2015) show how a derivative of this e ect, called TED (Treatment E ect Derivative) can be estimated. We argue here that TED should be employed in most RD applications, as a way to assess the stability and hence external validity of RD estimates. Clo...
متن کاملA NEW APPROACH FOR PARAMETER ESTIMATION IN FUZZY LOGISTIC REGRESSION
Logistic regression analysis is used to model categorical dependent variable. It is usually used in social sciences and clinical research. Human thoughts and disease diagnosis in clinical research contain vagueness. This situation leads researchers to combine fuzzy set and statistical theories. Fuzzy logistic regression analysis is one of the outcomes of this combination and it is used in situa...
متن کاملRegression Testing for Visual Models
In this paper, we present a set of Eclipse plug-ins which adapts the idea of regression testing for the area of visual modelling in software engineering: Expected properties of models in languages such as UML, BPMN, etc. are stored together with the model (comparable with test cases added to software). With each change of the model, these properties can be checked. The solution should work with...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Time Series Analysis
سال: 2021
ISSN: ['1467-9892', '0143-9782']
DOI: https://doi.org/10.1111/jtsa.12609