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Asymptotic properties of the maximum likelihood estimator of random effects models with serial correlation

Skoglund, Jimmy (contributor); Karlsson, Sune (contributor) - 2001 - [Elektronische Ressource]

This paper considers the large sample behavior of the maximum likelihood estimator of random effects models with serial correlation in the form of AR(1) for the idiosyncratic or time-specific error component. Consistent estimation and asymptotic normality as N and/or T grows large is established...

Persistent link: https://www.econbiz.de/10001600056

Essays on Random Effects models and GARCH

Skoglund, Jimmy - 2001

Persistent link: https://www.econbiz.de/10001565684

On seasonal error correction when the processes include different numbers of unit roots

Lyhagen, Johan (contributor); Löf, Mårten (contributor) - 2001 - [Elektronische Ressource], Rev. March 15, 2001

We propose a seasonal cointegration model [SECM] for quarterly data which includes variables with different numbers of … forecast mean squared error criterion and certain parameter estimation results indicate that, in practice, a cointegration … forecast, is an ordinary VAR model, also in annual differences. -- Seasonal cointegration ; forecasting …

Persistent link: https://www.econbiz.de/10001600047

Testing for unit roots in nonlinear dynamic heterogeneous panels

He, Changli (contributor); Sandberg, Rickard (contributor) - 2005 - [Elektronische Ressource]

In this paper we present a unit root test against a nonlinear dynamic heterogenous panel with each cross section modelled as an LSTAR model. All parameters are viewed as cross section specific. We allow for serially correlated residuals over time and heterogenous variance among cross sections....

Persistent link: https://www.econbiz.de/10002595402

Testing parameter constancy in unit root autoregressive models against continuous change

He, Changli (contributor); Sandberg, Rickard (contributor) - 2005 - [Elektronische Ressource], Rev. February 8, 2005

In this paper we derive tests for parameter constancy when the data generating process is non-stationary against the hypothesis that the parameters of the model change smoothly over time. To obtain the asymptotic distributions of the tests we generalize many theoretical results, as well as new...

Persistent link: https://www.econbiz.de/10002570513

Inference for unit roots in a panel smooth transition autoregressive model where the time dimension is fixed

He, Changli (contributor); Sandberg, Rickard (contributor) - 2005 - [Elektronische Ressource], Rev. February 18, 2005

In this paper we derive a unit root test against a Panel Logistic Smooth Transition Autoregressive (PLSTAR). The analysis is concentrated on the case where the time dimension is fixed and the cross section dimension tends to infinity. Under the null hypothesis of a unit root, we show that the...

Persistent link: https://www.econbiz.de/10002577852

Why not use standard panel unit root test for testing PPP

Lyhagen, Johan (contributor) - 2000 - [Elektronische Ressource]

In this paper we show the consequences of applying a panel unit root test when testing for a purchasing power parity relationship. The distribution of the tests investigated, including the IPS test of Im et al (1997), are influenced by a common stochastic trend which is usually not accounted...

Persistent link: https://www.econbiz.de/10001600044

Testing the unit root hypothesis against the logistic smooth transition autoregressive model

Eklund, Bruno (contributor) - 2003 - [Elektronische Ressource]

In this paper two simple tests to distinguish between unit root processes and stationary nonlinear processes are proposed. New limit distribution results are provided, together with two F type test statistics for the joint unit root and linearity hypothesis against a specific nonlinear...

Persistent link: https://www.econbiz.de/10001845685

A nonlinear alternative to the unit root hypothesis

Eklund, Bruno (contributor) - 2003 - [Elektronische Ressource]

This paper considers testing the unit root hypothesis against a smooth transition autoregressive model as the alternative. The model specification makes it possible to discriminate between nonstationary random walk and stationary nonlinear processes. Some new limit results are presented,...

Persistent link: https://www.econbiz.de/10001845699

An application of the analogy between vector ARCH and vector random coefficient autoregressive models

He, Changli (contributor); Teräsvirta, Timo (contributor) - 2002 - [Elektronische Ressource]

In this paper we derive conditions for the conditional covariance matrix to be positive definite in a general vector ARCH model. The conditions can be easily extended to the diagonal vector GARCH model. For the general vector GARCH model, analytical expressions for the conditions in terms of the...

Persistent link: https://www.econbiz.de/10001714621

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