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Record Nr. |
UNINA9910468240903321 |
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Autore |
Méndez Carlos |
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Titolo |
Convergence clubs in labor productivity and its proximate sources : evidence from developed and developing countries / / Carlos Mendez |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2020] |
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©2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XII, 67 p. 39 illus., 36 illus. in color.) |
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Collana |
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SpringerBriefs in Economics |
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Disciplina |
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Soggetti |
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Labor productivity |
Convergence (Economics) |
Economic development |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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1 Introduction -- 2 The Data: Productivity and Capital Differences across Countries and over Time -- 3 Two Complementary Frameworks to Study Convergence Clubs -- 4 Convergence Clubs in Labor Productivity -- 5 Convergence Clubs in Physical and Human Capital -- 6 Convergence Clubs in Total Factor Productivity -- 7 Accounting for Convergence Clubs -- 8 Conclusion. |
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Sommario/riassunto |
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Testing for economic convergence across countries has been a central issue in the literature of economic growth and development. This book introduces a modern framework to study the cross-country convergence dynamics in labor productivity and its proximate sources: capital accumulation and aggregate efficiency. In particular, recent convergence dynamics of developed as well as developing countries are evaluated through the lens of a non-linear dynamic factor model and a clustering algorithm for panel data. This framework allows us to examine key economic phenomena such as technological heterogeneity and multiple equilibria. In this context, the book provides a succinct review of the recent club convergence literature, a comparative view of developed and developing countries, and a tutorial on how to implement the club convergence framework in the statistical software Stata. |
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