Truncated Product Methods for Panel Unit Root Tests.

نویسندگان

  • Xuguang Sheng
  • Jingyun Yang
چکیده

This paper proposes two new panel unit root tests based on Zaykin et al. (2002)'s truncated product method. The first one assumes constant correlation between p-values and the second one uses sieve bootstrap to allow for general forms of cross-section dependence in the panel units. Monte Carlo simulation shows that both tests have reasonably good size and are powerful in cases of some very large p-values. The proposed tests are applied to a panel of real GDP and inflation density forecasts, resulting in evidence that professional forecasters may not update their forecast precision in an optimal Bayesian way.

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عنوان ژورنال:
  • Oxford bulletin of economics and statistics

دوره 75 4  شماره 

صفحات  -

تاریخ انتشار 2013