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The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, experimental design, and machine learning methods are decidedly within the range of the Journal's interests.
Panel DataStochastic VolatilitySemiparametric EstimationAsymptotic NormalityTime SeriesAsymptotic TheoryEfficient EstimationFinite Sample PropertiesMaximum LikelihoodEstimatorMaximum Likelihood EstimatorNull HypothesisTest StatisticGeneralized Method of MomentsConditional HeteroskedasticityUnobserved HeterogeneityTest StatisticsData ModelsNonparametric EstimationQuantile Regression
The Journal of Econometrics serves as an outlet for important, high quality, new research in both theoretical and applied econometrics. The scope of the Journal includes papers dealing with identification, estimation, testing, decision, and prediction issues encountered in economic research. Classical Bayesian statistics, experimental design, and machine learning methods are decidedly within the range of the Journal's interests.