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Testing stochastic income convergence in seasonal heterogeneous panels

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  • Ucar, Nuri
  • Guler, Huseyin

Abstract

In this paper we introduce a seasonal version of the Solow-Swan growth model and acquire an empirical income convergence equation. We take this equation as a basis to investigate whether income convergence exists in an OECD sample. To do this, we propose the test statistics under various asymptotic properties for some of the seasonal frequencies in the context of nonstationary heterogeneous panels. Critical values and moments of our statistics are generated and their finite sample performances are examined via Monte Carlo simulations.

Suggested Citation

  • Ucar, Nuri & Guler, Huseyin, 2010. "Testing stochastic income convergence in seasonal heterogeneous panels," Economic Modelling, Elsevier, vol. 27(1), pages 422-431, January.
    • Handle: RePEc:eee:ecmode:v:27:y:2010:i:1:p:422-431
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    2. Li, Kui-Wai & Zhou, Xianbo & Pan, Zhewen, 2016. "Cross-country output convergence and growth: Evidence from varying coefficient nonparametric method," Economic Modelling, Elsevier, vol. 55(C), pages 32-41.
    3. Hsu Shih-Hsun, 2021. "Disentangling the source of non-stationarity in a panel of seasonal data," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 25(1), pages 1-18, February.
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