Identifying I(0) Series in Macro-panels: Are Sequential Panel Selection Methods Useful?
AbstractSequential panel selection methods (spsms) are based on the repeated application of panel unit root tests and are increasingly used to identify I (0) time series in macro- panels. We check the reliability of spsms by using Monte Carlo simulations based on generating the individual test statistics and the p values to be combined into panel unit root tests, both under the unit root null and under selected local alternatives. The analysis is carried out considering both independent and dependent test statistics. We show that spsms do not possess better classification performances than conventional univariate tests.
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Bibliographic InfoPaper provided by University of Molise, Dept. EGSeI in its series Economics & Statistics Discussion Papers with number esdp14073.
Date of creation: 29 Mar 2014
Date of revision:
Unit root; Panel data; ROC curve; Simulation;
Find related papers by JEL classification:
- C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
This paper has been announced in the following NEP Reports:
- NEP-ALL-2014-04-11 (All new papers)
- NEP-ECM-2014-04-11 (Econometrics)
- NEP-ETS-2014-04-11 (Econometric Time Series)
- NEP-GER-2014-04-11 (German Papers)
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