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  • 标题:Testing for equality of an increasing number of spectral density functions
  • 本地全文:下载
  • 作者:Javier Hidalgo ; Pedro Souza ; Pedro Souza
  • 期刊名称:Econometrics Publications
  • 印刷版ISSN:0969-4366
  • 出版年度:2013
  • 出版社:Suntory Toyota International Centre for Economics and Related Disciplines
  • 摘要:Nowadays it is very frequent that a practitioner faces the problem of mod-elling large data sets. Relevant examples include spatio-temporal or panel datamodels with large N and T . In these cases deciding a particular dynamicmodel for each individual/population, which plays a crucial role in predictionand inferences, can be a very onerous and complex task.The aim of this paper is thus to examine a nonparametric test for theequality of the linear dynamic models as the number of individuals increaseswithout bound. The test has two main features: (a) there is no need to chooseany bandwidth parameter and (b) the asymptotic distribution of the test is anormal random variable
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