TY  - GEN
AB  - Classical growth convergence regressions fail to account for various sources
of heterogeneity and nonlinearity. While recent contributions are able to address either
the one or the other, we present a simple two-step method to address both issues. Based
on a slightly augmented version of a recently proposed algorithm to identify convergence
clubs, we formulate a flexible nonlinear framework which allows to analyze convergence
effects on both individual and club level, while alleviating potential misclassification in
the club formation process using simultaneous smoothing over the club structure. The
merits of the method are illustrated for data on different aggregational levels.
DA  - 2011
LA  - eng
PY  - 2011
SN  - 0931-6558
SP  - 47-
TI  - Dealing with heterogeneity, nonlinearity and club misclassification in growth convergence: A nonparametric two-step approach
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-29009614
Y2  - 2024-11-24T12:33:21
ER  -