Cointegration between trends and their estimators in state space models and CVAR models

Publikation: Working paperForskning

Standard

Cointegration between trends and their estimators in state space models and CVAR models. / Johansen, Søren; Tabor, Morten Nyboe.

2017.

Publikation: Working paperForskning

Harvard

Johansen, S & Tabor, MN 2017 'Cointegration between trends and their estimators in state space models and CVAR models'.

APA

Johansen, S., & Tabor, M. N. (2017). Cointegration between trends and their estimators in state space models and CVAR models. University of Copenhagen. Institute of Economics. Discussion Papers (Online), Nr. 17-02

Vancouver

Johansen S, Tabor MN. Cointegration between trends and their estimators in state space models and CVAR models. 2017.

Author

Johansen, Søren ; Tabor, Morten Nyboe. / Cointegration between trends and their estimators in state space models and CVAR models. 2017. (University of Copenhagen. Institute of Economics. Discussion Papers (Online); Nr. 17-02).

Bibtex

@techreport{7e6916316619438ba8d22b836663257d,
title = "Cointegration between trends and their estimators in state space models and CVAR models",
abstract = "In a linear state space model Y(t)=BT(t) e(t), we investigate if the unobserved trend, T(t), cointegrates with the predicted trend, E(t), and with the estimated predicted trend, in the sense that the spreads are stationary. We find that this result holds for the spread B(T(t)-E(t)) and the estimated spread. For the spread between the trend and the estimated trend, T(t)-E(t), however, cointegration depends on the identification of B. The same results are found, if the observations Y(t), from the state space model are analysed using a cointegrated vector autoregressive model, where the trend is defined as the common trend. Finally, we investigate cointegration between the spread between trends and their estimators based on the two models, and find the same results. We illustrate with two examples and confirm the results by a small simulation study.",
keywords = "Faculty of Social Sciences, Cointegration of trends, State space models, CVAR models, C32, Cointegration of trends, State space models, CVAR models",
author = "S{\o}ren Johansen and Tabor, {Morten Nyboe}",
year = "2017",
language = "English",
series = "University of Copenhagen. Institute of Economics. Discussion Papers (Online)",
number = "17-02",
type = "WorkingPaper",

}

RIS

TY - UNPB

T1 - Cointegration between trends and their estimators in state space models and CVAR models

AU - Johansen, Søren

AU - Tabor, Morten Nyboe

PY - 2017

Y1 - 2017

N2 - In a linear state space model Y(t)=BT(t) e(t), we investigate if the unobserved trend, T(t), cointegrates with the predicted trend, E(t), and with the estimated predicted trend, in the sense that the spreads are stationary. We find that this result holds for the spread B(T(t)-E(t)) and the estimated spread. For the spread between the trend and the estimated trend, T(t)-E(t), however, cointegration depends on the identification of B. The same results are found, if the observations Y(t), from the state space model are analysed using a cointegrated vector autoregressive model, where the trend is defined as the common trend. Finally, we investigate cointegration between the spread between trends and their estimators based on the two models, and find the same results. We illustrate with two examples and confirm the results by a small simulation study.

AB - In a linear state space model Y(t)=BT(t) e(t), we investigate if the unobserved trend, T(t), cointegrates with the predicted trend, E(t), and with the estimated predicted trend, in the sense that the spreads are stationary. We find that this result holds for the spread B(T(t)-E(t)) and the estimated spread. For the spread between the trend and the estimated trend, T(t)-E(t), however, cointegration depends on the identification of B. The same results are found, if the observations Y(t), from the state space model are analysed using a cointegrated vector autoregressive model, where the trend is defined as the common trend. Finally, we investigate cointegration between the spread between trends and their estimators based on the two models, and find the same results. We illustrate with two examples and confirm the results by a small simulation study.

KW - Faculty of Social Sciences

KW - Cointegration of trends

KW - State space models

KW - CVAR models

KW - C32

KW - Cointegration of trends

KW - State space models

KW - CVAR models

M3 - Working paper

T3 - University of Copenhagen. Institute of Economics. Discussion Papers (Online)

BT - Cointegration between trends and their estimators in state space models and CVAR models

ER -

ID: 178281973