Econometric convergence test and club clustering using Stata
Kerui Du ()
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Kerui Du: Shandong University
Stata Journal, 2017, vol. 17, issue 4, 882-900
Abstract:
In this article, I introduce a new package with five commands to perform econometric convergence analysis and club clustering as proposed by Phillips and Sul (2007, Econometrica 75: 1771–1855). The logtreg command performs the log t regression test. The psecta command implements the cluster- ing algorithm to identify convergence clubs. The scheckmerge command conducts the log t regression test for all pairs of adjacent clubs. The imergeclub command tries to iteratively merge adjacent clubs. The pfilter command extracts the trend and cyclical components of a time series of each individual in panel data. I pro- vide an example from Phillips and Sul (2009, Journal of Applied Econometrics 24: 1153–1185) to illustrate the use of these commands. Additionally, I use Monte Carlo simulations to exemplify the effectiveness of the clustering algorithm. Copyright 2016 by StataCorp LP.
Keywords: logtreg; psecta; scheckmerge; imergeclub; pfilter; convergence; club clustering; log t test (search for similar items in EconPapers)
Date: 2017
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