Vorliegende Sprache |
eng |
Hinweise auf parallele Ausgaben |
1736869140 Erscheint auch als (Druck-Ausgabe): ‡Mendez, Carlos: Convergence clubs in labor productivity and its proximate sources |
ISBN |
978-981-15-8628-6 |
978-981-15-8630-9 |
Name |
Mendez, Carlos ¬[VerfasserIn]¬ |
T I T E L |
Convergence Clubs in Labor Productivity and its Proximate Sources |
Zusatz zum Titel |
Evidence from Developed and Developing Countries |
Auflage |
1st ed. 2020. |
Verlagsort |
Singapore |
Singapore |
Verlag |
Springer Singapore |
Imprint: Springer |
Erscheinungsjahr |
2020 |
2020 |
2020 |
Umfang |
1 Online-Ressource(XII, 67 p. 39 illus., 36 illus. in color.) |
Reihe |
SpringerBriefs in Economics |
Titelhinweis |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-8628-6 |
Erscheint auch als (Druck-Ausgabe)ISBN: 978-981-15-8630-9 |
Erscheint auch als (Druck-Ausgabe): ‡Mendez, Carlos: Convergence clubs in labor productivity and its proximate sources |
ISBN |
ISBN 978-981-15-8629-3 |
Klassifikation |
KCG |
BUS068000 |
338.9 |
Kurzbeschreibung |
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. |
2. Kurzbeschreibung |
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. |
1. Schlagwortkette |
Entwicklungsländer |
Wirtschaftswachstum |
Humankapital |
ANZEIGE DER KETTE |
Entwicklungsländer -- Wirtschaftswachstum -- Humankapital |
SWB-Titel-Idn |
1741573904 |
Signatur |
Springer E-Book |
Bemerkungen |
Elektronischer Volltext - Campuslizenz |
Elektronische Adresse |
$uhttps://doi.org/10.1007/978-981-15-8629-3 |
Internetseite / Link |
Resolving-System |