Near Unit Root in the Spatial Autoregressive Model

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Efficient Tests for an Autoregressive Unit Root

Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms.jsp. JSTOR's Terms and Conditions of Use provides, in part, that unless you have obtained prior permission, you may not download an entire issue of a journal or multiple copies of articles, and you may use content in the JSTOR archive o...

متن کامل

Autoregressive conditional root model

In this paper we develop a time series model which allows long-term disequilibriums to have epochs of non-stationarity, giving the impression that long term relationships between economic variables have temporarily broken down, before they endogenously collapse back towards their long term relationship. This autoregressive root model is shown to be ergodic and covariance stationary under some r...

متن کامل

Jackknife Estimation in Autoregressive Models with a Unit Root∗

This paper examines the performance of the jackknife resampling method in unit root autoregression. Two different sub-sampling methods used for deriving jackknife estimators are considered: the first one employs non-overlapping subgroups, while the second one uses moving blocks of observations. In the case of a pure random walk, from the second subgroup onwards, the associated initial condition...

متن کامل

An Autoregressive Model with Conditional Heterogeneity: a Nesting Model for Unit Root Testing

The main objective of this paper is to shed light on the problem of low power for the Dickey-Fuller type unit root tests. It is argued that the low power is primarily due to the non-nestedness of the Autoregressive (AR(1)) and the Unit Root (UR(1)) models. The paper proposes an AR(1) model with Conditional Heterogeneity (ARCHET(1)) which parametrically encompasses the UR(1) model. A number of s...

متن کامل

Spatial-Temporal Autoregressive Dynamic Model

Although a myriad of methods have been advanced to tackle spatial and temporal structures in data separately, it becomes difficult to analyze these data using classical linear regression models when spatial-temporal structures coexist, especially when the data size is relatively large. In this article, we demonstrate a simple to implement method to handle spatial-temporal structures simultaneou...

متن کامل

ذخیره 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: Spatial Economic Analysis

سال: 2013

ISSN: 1742-1772,1742-1780

DOI: 10.1080/17421772.2012.760134