Democracy and Growth: Evidence of a new measurement

Konferenzbeitrag

We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuous on the 0-1-interval and enables very detailed and sensitive measurement of democracy for 185 countries in the period between 1981 and 2011. Application of the SVMDI highlights a robust positive relationship between democracy and economic growth. We argue that the ambiguity in recent studies mainly originates from the lack of sensitivity of traditional democracy indicators. Analyzing transmission channels through which democracy exerts its influence on growth, we conclude that democratic countries have better educated populations, higher investment shares, and lower fertility rates, but not necessarily higher levels of redistribution.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Beiträge zur Jahrestagung des Vereins für Socialpolitik 2016: Demographischer Wandel - Session: Institutions ; No. G13-V1

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Capitalist Systems: Political Economy ; Macroeconomic Analyses of Economic Development ; Index Numbers and Aggregation; Leading indicators

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Krieger, Tommy ; Gründler, Klaus
• Ereignis: Veröffentlichung
• (wer): ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften, Leibniz-Informationszentrum Wirtschaft
• (wo): Kiel und Hamburg
• (wann): 2016

Weitere Informationen

• Handle: http://hdl.handle.net/10419/145720
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ