This paper proposes a test to verify whether the th moment of a random variable is finite. We use the fact that, under general assumptions, sample moments either converge to a finite number or diverge to infinity according as the corresponding population moment is finite or not. Building on this, we propose a test for the null that the th moment does not exist. Since, by construction, our test statistic diverges under the null and converges under the alternative, we propose a randomised testing procedure to discern between the two cases. We study the application of the test to raw data, and to regression residuals. Monte Carlo evidence shows that the test has the correct size and good power; the results are further illustrated through an ap...
We propose nonnested tests for competing conditional moment restriction models using the method of c...
Castagnetti et al. (2015) propose two max-type statistics to test for the presence of a factor struc...
This article addresses statistical inference in models defined by conditional moment restrictions. O...
This paper proposes a test to verify whether the th moment of a random variable is finite. We use th...
This paper proposes a simple, fast and direct nonparametric test to verify if a sample is drawn from...
Assumptions that a finite moment of the first, second, fourth or another or-der exists appear in man...
We propose a simple statistical test for determining whether a sample of extreme values has been dra...
This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cas...
This paper considers the problem of testing a finite number of moment inequalities. We propose a two...
summary:The empirical moment process is utilized to construct a family of tests for the null hypothe...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
In this paper, we develop moment-based tests for parametric discrete distributions. We characterize ...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
Abstract-- In this article, new moment inequalities are derived for new renewal better than used (NR...
Stock returns are often modeled as having infinite second or fourth moments, with consequences for t...
We propose nonnested tests for competing conditional moment restriction models using the method of c...
Castagnetti et al. (2015) propose two max-type statistics to test for the presence of a factor struc...
This article addresses statistical inference in models defined by conditional moment restrictions. O...
This paper proposes a test to verify whether the th moment of a random variable is finite. We use th...
This paper proposes a simple, fast and direct nonparametric test to verify if a sample is drawn from...
Assumptions that a finite moment of the first, second, fourth or another or-der exists appear in man...
We propose a simple statistical test for determining whether a sample of extreme values has been dra...
This paper discusses a bootstrap-based test, which checks if finite moments exist, and indicates cas...
This paper considers the problem of testing a finite number of moment inequalities. We propose a two...
summary:The empirical moment process is utilized to construct a family of tests for the null hypothe...
Abstract This paper considers the problem of testing a finite number of moment inequalities. We prop...
In this paper, we develop moment-based tests for parametric discrete distributions. We characterize ...
A goodness-of-fit test for one-parameter count distributions with finite second moment is proposed. ...
Abstract-- In this article, new moment inequalities are derived for new renewal better than used (NR...
Stock returns are often modeled as having infinite second or fourth moments, with consequences for t...
We propose nonnested tests for competing conditional moment restriction models using the method of c...
Castagnetti et al. (2015) propose two max-type statistics to test for the presence of a factor struc...
This article addresses statistical inference in models defined by conditional moment restrictions. O...