Template-Type: ReDIF-Paper 1.0
Title: Engel’s Law Reconsidered
Author-Name: Manisha Chakrabarty
Author-Email: 
Author-Name: Werner Hildenbrand
Author-Email: with2@uni-bonn.de
Classification-JEL: B10, B21, B23
Keywords: Engel's Law, non- parametric regression, Kendall's tau, stochastic dominance
Abstract: Engel's verbal formulation of his Law expresses a "negativ stochastic association" of
	the bivariate distribution of income and food share across the population. Among the many
	different definitions of association four are chosen: Kendall's tau, negative quadrant 
	dependence, stochastically decreasing conditional food share distribution functions, and
	decreasing regression. To link Engel's Law with individual behavior a decreasing regression
	is not sufficient, the stronger notion of associations are needed. This motivates the empirical
	analysis of section 4. It is shown that the above notions of associations are well supported by
	empirical evidence.
Note: 
Length: 36
Creation-Date: 2009-09
Revision-Date: 
File-URL: http://www.wiwi.uni-bonn.de/bgsepapers/bonedp/bgse22_2009.pdf
File-Format: application/pdf
Handle: RePEc:bon:bonedp:bgse22_2009