Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/63271
Authors: 
Wan, Guanghua
Lu, Ming
Chen, Zhao
Year of Publication: 
2006
Series/Report no.: 
Research Paper, UNU-WIDER, United Nations University (UNU) 2006/92
Abstract: 
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
Document Type: 
Working Paper

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