Mostrando recursos 81 - 100 de 329

  1. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  2. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  3. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  4. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  5. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  6. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  7. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  8. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  9. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  10. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  11. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  12. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  13. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  14. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  15. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  16. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  17. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  18. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  19. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

  20. Generalized State-Dependent Models: A Multivariate Approach

    Heravi, Saeed; Easaw, Joshy; Golinelli, Roberto
    The main purpose of this paper is to develop generalized ‘State Dependent Models’ (SDM) in a multivariate framework for empirical analysis. This significantly extends the existing SDM which only allow univariate analysis following a simple AR process. The extended model enables greater possibility for empirical analysis of economic relationships. The principle advantage of SDM is that it allows for a general form of non-linearity and can be fitted without any specific prior assumption about the form of non-linearity. We describe the general structure of the SDM and the problem of its identification is also considered. Finally, we apply the algorithm...

Aviso de cookies: Usamos cookies propias y de terceros para mejorar nuestros servicios, para análisis estadístico y para mostrarle publicidad. Si continua navegando consideramos que acepta su uso en los términos establecidos en la Política de cookies.