Understanding regional growth dynamics in Japan: Panel co-integration approach utilizing the PANIC method
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- Masahiko Shibamoto & Yoshiro Tsutsui & Chisako Yamane, 2009. "Understanding Regional Growth Dynamics in JAPAN: Panel Cointegration Approach Utilizing The PANIC Method," Discussion Paper Series 243, Research Institute for Economics & Business Administration, Kobe University, revised Mar 2016.
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- Mendez-Guerra, Carlos, 2018. "¿Convergencia beta, sigma y distribucional en desarrollo humano? Evidencia de las regiones metropolitanas de Bolivia," Revista Latinoamericana de Desarrollo Economico, Instituto de Investigaciones Socio-Económicas (IISEC), Universidad Católica Boliviana, issue 30, pages 88-117, November.
- Delgado Narro, Augusto Ricardo, 2020. "The Process of Convergence among the Japanese Prefectures: 1955 - 2012," MPRA Paper 100361, University Library of Munich, Germany.
- Masahiko Shibamoto & Yoshiro Tsutsui, 2014.
"Note on the interpretation of the convergence speed in the dynamic panel model,"
Applied Economics Letters,
Taylor & Francis Journals, vol. 21(8), pages 533-535, May.
- Masahiko Shibamoto & Yoshiro Tsutsui, 2011. "Note on the Interpretation of Convergence Speed in the Dynamic Panel Model," Discussion Paper Series DP2011-04, Research Institute for Economics & Business Administration, Kobe University.
- Mendez-Guerra, Carlos, 2018. "Beta, Sigma and Distributional Convergence in Human Development? Evidence from the Metropolitan Regions of Bolivia," MPRA Paper 87627, University Library of Munich, Germany.
More about this item
Keywordsβ-convergence; Common trends; Panel unit root test; PANIC method; Japan;
- O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
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