Testing Serial Correlation in Semiparametric Varying-Coefficient Partially Linear EV Models

在线阅读 下载PDF 导出详情
摘要 Thispaperstudiesestimationandserialcorrelationtestofasemiparametricvarying-coefficientpartiallylinearEVmodeloftheformY=Xτβ+Zτα(T)+ε,ξ=X+ηwiththeidentifyingconditionE[(ε,ητ)τ]=0,Cov[(ε,ητ)η]=σ2Ip+1.Theestimatorsofinterestedregressionparametersβ,andthemodelerrorvarianceσ2,aswellasthenonparametriccomponentsα(T),areconstructed.Undersomeregularconditions,weshowthattheestimatorsoftheunknownvectorβandtheunknownparameterσ2arestronglyconsistentandasymptoticallynormalandthattheestimatorofα(T)achievestheoptimalstrongconvergencerateoftheusualnonparametricregression.Basedontheseestimatorsandasymptoticproperties,weproposetheVN,pteststatisticandempiricallog-likelihoodratiostatisticfortestingserialcorrelationinthemodel.Theproposedstatisticsareshowntohaveasymptoticnormalorchi-squaredistributionsunderthenullhypothesisofnoserialcorrelation.Somesimulationstudiesareconductedtoillustratethefinitesampleperformanceoftheproposedtests.
机构地区 不详
出版日期 2008年01月11日(中国期刊网平台首次上网日期,不代表论文的发表时间)