Showing 1 - 10 of 7,752
This paper analyzes the problem of weak instruments on identification, estimation, and inference in a simple … nonparametric model of a triangular system. The paper derives a necessary and sufficient rank condition for identification, based on … which weak identification is established. Then nonparametric weak instruments are defined as a sequence of reduced …
Persistent link: https://www.econbiz.de/10012202234
The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as nite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...
Persistent link: https://www.econbiz.de/10010459136
data. Our analysis considers various identification schemes and several variants of LP and VAR estimators. A clear bias …
Persistent link: https://www.econbiz.de/10013334425
Persistent link: https://www.econbiz.de/10011704730
This paper proposes methods for both the consistent estimation of so-called long run canonical correlations (LRCCs) and also testing the null hypothesis that a subset of LRCCs are zero. Two test statistics are proposed and their limiting distribution is derived under the null hypothesis. It is...
Persistent link: https://www.econbiz.de/10013155084
We propose a new estimator for the integrated covariance of two Ito semimartingales observed at a high-frequency. This new estimator, which we call the pre-averaged truncated Hayashi-Yoshida estimator, enables us to separate the sum of the co-jumps from the total quadratic covariation even in...
Persistent link: https://www.econbiz.de/10013086432
Most of the available monthly interest data series consist of monthlyaverages of daily observations. It is well-known that this averaging introduces spurious autocorrelation effectsin the first differences of the series. It isexactly this differenced series we are interested in when...
Persistent link: https://www.econbiz.de/10011303868
Recently several large volatility matrix estimation procedures have been developed for factor-based Ito processes whose integrated volatility matrix consists of low-rank and sparse matrices. Their performance depends on the accuracy of input volatility matrix estimators. When estimating...
Persistent link: https://www.econbiz.de/10012941597
In this paper, I propose a simple methodology for inferring the correlation between permanent and transitory shocks in … unidentified unobserved components (UC) models, where the correlation is not identified. However, I show that there is an upper … bound of the correlation implied from the unrestricted ARIMA reduced form. I apply the proposed methodology to GDP data of …
Persistent link: https://www.econbiz.de/10012721353
regressions (PRs). Focusing on the direct relationship between the degree of cross-correlation of covariates and the estimation …
Persistent link: https://www.econbiz.de/10013336165