ConvergenceClubs-package: ConvergenceClubs: Finding Convergence Clubs

In ConvergenceClubs: Finding Convergence Clubs

ConvergenceClubs: Finding Convergence Clubs

Description

Functions for clustering regions that form convergence clubs, according to the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package description is available in Sichera and Pizzuto (2019).

Main functions

The package's main functions are findClubs and mergeClubs. The former finds clubs of convergence, given a dataset with units in rows and years in columns, returning an object of class convergence.clubs. The latter takes as argument an object of class convergence.clubs and applies the clustering procedure to the convergence clubs contained in the argument, according to either Phillips and Sul (2009) or von Lyncker and Thoennessen (2017) procedure.

Author(s)

Maintainer: Roberto Sichera [e-mail] [copyright holder]

Authors:

• Pietro Pizzuto [e-mail]

References

Andrews, D. W., 1991. Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica: Journal of the Econometric Society, 817-858.

Phillips, P. C.; Sul, D., 2007. Transition modeling and econometric convergence tests. Econometrica 75 (6), 1771-1855.

Phillips, P. C.; Sul, D., 2009. Economic transition and growth. Journal of Applied Econometrics 24 (7), 1153-1185.

von Lyncker, K.; Thoennessen, R., 2017. Regional club convergence in the EU: evidence from a panel data analysis. Empirical Economics 52 (2), 525-553

Sichera, R.; Pizzuto, P., 2019. ConvergenceClubs: A Package for Performing the Phillips and Sul's Club Convergence Clustering Procedure. The R Journal.

See Also

Useful links:

• https://CRAN.R-project.org/package=ConvergenceClubs

• Report bugs at https://github.com/rhobis/ConvergenceClubs/issues

ConvergenceClubs documentation built on June 14, 2022, 1:06 a.m.