Nonparametric test for cointegration rank using Cholesky factor bootstrap

نویسندگان

چکیده

برای دانلود رایگان 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

A Bootstrap Test of Cointegration Rank

This paper suggests a bootstrap testing procedure for determining the rank of cointegrated systems. The properties of the new testing procedure are investigated using Monte Carlo techniques. The performance of the test compares favourably to that of the widely used procedures for determining cointegration rank proposed by Johansen (1988). JEL classi cation: C12; C15; C32.

متن کامل

A New Nonparametric Test of Cointegration Rank

This paper suggests a new nonparametric testing procedure for determining the rank of nonstationary multivariate cointegrated systems. The asymptotic properties of the procedure are determined and a Monte Carlo study is carried out.

متن کامل

Statistical Topology Using the Nonparametric Density Estimation and Bootstrap Algorithm

This paper presents approximate confidence intervals for each function of parameters in a Banach space based on a bootstrap algorithm. We apply kernel density approach to estimate the persistence landscape. In addition, we evaluate the quality distribution function estimator of random variables using integrated mean square error (IMSE). The results of simulation studies show a significant impro...

متن کامل

Testing for Cointegration Rank Using Bayes Factors

This paper proposes Bayesian methods for estimating the cointegration rank using Bayes factors. We consider natural conjugate priors for computing Bayes factors. First, we estimate the cointegrating vectors for each possible rank. Then, we compute the Bayes factors for each rank against 0 rank. Monte Carlo simulations show that using Bayes factor with conjugate priors produces fairly good resul...

متن کامل

A Consistent Nonparametric Bootstrap Test of Exogeneity

We propose a way of testing exogeneity of an explanatory variable without any parametric assumptions in the presence of a conditional "instrumental variable". A testable implication is derived that if an explanatory variable is exogenous, the conditional distribution of the outcome given explanatory variables is independent of the instrumental variable. We propose a consistent nonparametric boo...

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: Communications for Statistical Applications and Methods

سال: 2016

ISSN: 2383-4757

DOI: 10.5351/csam.2016.23.6.587