Club Convergence among the Major Indian States During 1982–2014: Does Investment in Human Capital Matter?
Autor: | Souparna Maji, Sushil Kr. Haldar, Sulekha Hembram |
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Rok vydání: | 2019 |
Předmět: |
Markov kernel
Markov chain 05 social sciences Kernel density estimation 010501 environmental sciences Investment (macroeconomics) 01 natural sciences Human capital 0502 economics and business Econometrics Economics Club Convergence (relationship) 050207 economics General Economics Econometrics and Finance 0105 earth and related environmental sciences |
Zdroj: | South Asia Economic Journal. 20:184-204 |
ISSN: | 0973-077X 1391-5614 |
DOI: | 10.1177/1391561419850300 |
Popis: | The objective of this study is to investigate the presence of ‘club convergence’ in respect of income among 15 major states in India during 1982–2014 using Markov chain along with stochastic kernel. The distributional dynamics observed among the major states support the process of ‘club convergence’. The empirical findings prove the hypotheses that economies that are similar in their structural characteristics and initial per capita income levels will converge with each other in per capita terms in the long run. The present study empirically re-establishes the hypotheses of ‘low-level equilibrium trap’ caused by low human capital investment. JEL: C14, H51, H52, O49, O53 |
Databáze: | OpenAIRE |
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