© 2020 Elsevier B.V. This paper provides an estimation and testing framework to assess the presence and the extent of slope heterogeneity and cointegration when the units are a mixture of spurious and/or cointegrating regressions. We propose two moment estimators for the degree of heterogeneity (measured by the dispersion of the slope coefficients around their average) and for the fraction of spurious regressions, which are found to be consistent in the whole parameter space. Based on these estimators, two tests for the null hypotheses of slope homogeneity and for cointegration are proposed. Monte Carlo simulations show that both tests have the correct size and satisfactory power
In this paper, we propose an estimation and testing framework for parameter instability in cointegra...
This paper enlarges on Karlsoon and Löthgreen’s (2000) results on panel unit root tests to panel coi...
Panel unit-root and no-cointegration tests that rely on cross-sectional independence of the panel un...
This dissertation investigates an asymptotic theory of cointegration in panel data covering spurious...
In this paper we describe a method for testing the null of no cointegration in dynamic panels with m...
In the first chapter, I develop a panel no-cointegration test which extends Pesaran, Shin and Smith ...
This paper proposes a test for the null that, in a cointegrated panel, the long-run correlation betw...
This paper proposes a test for the null that, in a cointegrated panel, the long-run correlation betw...
We consider the problem of testing for slope homogeneity in high-dimensional panel data models with ...
This thesis develops new techniques for analyzing cointegrated relationships in panel data. The firs...
We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where...
Statistical inference for large data panels is omnipresent in modern economic applications. An impor...
We propose new tests for panel cointegration by extending the panel unit root tests of Choi [2001] ...
Time series cointegration tests, even in the presence of large sample sizes, often yield conflictin...
This thesis is divided into two distinct parts. The first part contains three chapters, co-authored ...
In this paper, we propose an estimation and testing framework for parameter instability in cointegra...
This paper enlarges on Karlsoon and Löthgreen’s (2000) results on panel unit root tests to panel coi...
Panel unit-root and no-cointegration tests that rely on cross-sectional independence of the panel un...
This dissertation investigates an asymptotic theory of cointegration in panel data covering spurious...
In this paper we describe a method for testing the null of no cointegration in dynamic panels with m...
In the first chapter, I develop a panel no-cointegration test which extends Pesaran, Shin and Smith ...
This paper proposes a test for the null that, in a cointegrated panel, the long-run correlation betw...
This paper proposes a test for the null that, in a cointegrated panel, the long-run correlation betw...
We consider the problem of testing for slope homogeneity in high-dimensional panel data models with ...
This thesis develops new techniques for analyzing cointegrated relationships in panel data. The firs...
We consider the issue of cross-sectional aggregation in nonstationary and heterogeneous panels where...
Statistical inference for large data panels is omnipresent in modern economic applications. An impor...
We propose new tests for panel cointegration by extending the panel unit root tests of Choi [2001] ...
Time series cointegration tests, even in the presence of large sample sizes, often yield conflictin...
This thesis is divided into two distinct parts. The first part contains three chapters, co-authored ...
In this paper, we propose an estimation and testing framework for parameter instability in cointegra...
This paper enlarges on Karlsoon and Löthgreen’s (2000) results on panel unit root tests to panel coi...
Panel unit-root and no-cointegration tests that rely on cross-sectional independence of the panel un...