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Econometrics, Volume 9, Issue 1

2021 March - 14 articles

Cover Story: Time series of counts enjoy numerous applications in various fields as economics, engineering, and epidemiology. This article considers goodness-of-fit tests for bivariate INAR and bivariate Poisson autoregression models. The test statistics are based on an L2-type distance between two estimators of the probability generating function of the observations: one being entirely nonparametric and the second one being semiparametric computed under the corresponding null hypothesis. The asymptotic distribution of the proposed tests statistics both under the null hypotheses as well as under alternatives is derived. The finite-sample performance of a parametric bootstrap version of the tests is illustrated via a series of Monte Carlo experiments. An application on a real data set of claims counts is provided. View this paper
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Articles (14)

  • Feature Paper
  • Article
  • Open Access
7 Citations
4,398 Views
23 Pages

The effect of the conventional model-based methods of seasonal adjustment is to nullify the elements of the data that reside at the seasonal frequencies and to attenuate the elements at the adjacent frequencies. It may be desirable to nullify some of...

  • Article
  • Open Access
5 Citations
4,810 Views
23 Pages

The maximum diversification has been shown in the literature to depend on the vector of asset volatilities and the inverse of the covariance matrix of the asset return. In practice, these two quantities need to be replaced by their sample statistics....

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Econometrics - ISSN 2225-1146