Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/63271 
Erscheinungsjahr: 
2006
Schriftenreihe/Nr.: 
WIDER Research Paper No. 2006/92
Verlag: 
The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki
Zusammenfassung: 
This paper argues that the conventional approach of data averaging is problematic for exploring the growth–inequality nexus. It introduces the polynomial inverse lag (PIL) framework so that the impacts of inequality on investment, education, and ultimately on growth can be measured at precisely defined time lags. Combining PIL with simultaneous systems of equations, we analyze the growth–inequality relationship in postreform China, finding that this relationship is nonlinear and is negative irrespective of time horizons. – inequality ; growth ; polynominal inverse lag
JEL: 
O40
O15
R12
ISBN: 
929190872X
Dokumentart: 
Working Paper

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