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Pooled Bewley Estimator of Long-Run Relationships in Dynamic Heterogenous Panels

Chudik, Alexander; Pesaran, M. Hashem; Smith, Ron P. - 2023

This paper, using the Bewley (1979) transformation of the autoregressive distributed lag model, proposes a novel pooled Bewley (PB) estimator of long-run coefficients for dynamic panels with heterogeneous short-run dynamics, in the same setting as the widely used Pooled Mean Group (PMG)...

Persistent link: https://www.econbiz.de/10014357208

Long Run Canonical Correlations : Estimation and Inference

Dovonon, Prosper - 2009

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

Likelihood-based panel cointegration test in the presence of a linear time trend and cross-sectional dependence

Arsova, Antonia; Karaman Örsal, Deniz Dilan - 2013

This paper proposes a new likelihood-based panel cointegration rank test which extends the test of Örsal & Droge (2012 …) (henceforth Panel SL test) to allow for cross-sectional dependence. The dependence is modelled by unobserved common factors which … panel analysis of nonstationarity in idiosyncratic and common components (PANIC) approach of Bai & Ng (2004) and the …

Persistent link: https://www.econbiz.de/10010187855

Tests for Parameter Instability in Dynamic Factor Models

Han, Xu - 2014

We develop tests for structural breaks of factor loadings in dynamic factor models. We focus on the joint null hypothesis that all factor loadings are constant over time. Because the number of factor loading parameters goes to infinity as the sample size grows, conventional tests cannot be used....

Persistent link: https://www.econbiz.de/10013063182

Spurious regression, cointegration, and near cointegration : a unifying approach

Haldrup, Niels; Jansson, Michael - 1999

This paper introduces a representation of an integrated vectortime series in which the coefficient of multiple correlation computed fromthe long-run covariance matrix of the innovation sequences is a primitiveparameter of the model. Based on this representation, a notion of nearcointegration is...

Persistent link: https://www.econbiz.de/10011300555

Estimation of possibly non-stationary first-order auto-regressive processes

Martins, Ana Paula - 2016

This paper inspects a grid search algorithm to estimate the AR(1) process, based on the joint estimation of the canonical AR(1) equation along with its reverse form. The method relies on the GLS principle, accounting for the covariance error structure of the special estimable system....

Persistent link: https://www.econbiz.de/10011784570

Inference for structural impulse responses in SVAR-GARCH models

Bruder, Stefan - 2018

Conditional heteroskedasticity can be exploited to identify the structural vector autoregressions (SVAR) but the implications for inference on structural impulse responses have not been investigated in detail yet. We consider the conditionally heteroskedastic SVAR-GARCH model and propose a...

Persistent link: https://www.econbiz.de/10011817166

Spot variance path estimation and its application to high frequency jump testing

Bos, Charles S.; Janus, Paweł; Koopman, Siem Jan - 2009

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...

Persistent link: https://www.econbiz.de/10011379469

Jackknife bias reduction in the presence of a unit root

Chambers, Marcus J.; Kyriacou, Maria - 2010

This paper analyses the properties of jackknife estimators of the first-order autoregressive coefficient when the time series of interest contains a unit root. It is shown that, when the sub-samples do not overlap, the sub-sample estimators have different limiting distributions from the...

Persistent link: https://www.econbiz.de/10003927895

Maximum likelihood estimation for correctly specified generalized autoregressive score models : feedback effects, contraction conditions and asymptotic properties

Blasques, Francisco; Koopman, Siem Jan; Lucas, André - 2014

The strong consistency and asymptotic normality of the maximum likelihood estimator in observation-driven models usually requires the study of the model both as a filter for the time-varying parameter and as a data generating process (DGP) for observed data. The probabilistic properties of the...

Persistent link: https://www.econbiz.de/10010364739

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