Please use this identifier to cite or link to this item:
Title: Engel's Law Reconsidered
Authors: Chakrabarty, Manisha
Hildenbrand, Werner
Keywords: Empirical laws
Kendall's tau
Nonparametric regression
Quadrant dependence
Stochastic association
Stochastic dominance
Issue Date: 2011
Publisher: SCOPUS
Journal of Mathematical Economics
Series/Report no.: 47(3)
Abstract: Engel's Law expresses a negative stochastic association of the bivariate distribution of income and food share across a population. Among the many different definitions which can be found in the statistical literature four concepts are discussed and tested: Kendall's ?, quadrant dependence, stochastic decreasing conditional food share distribution function and decreasing regression. Only the last one is used in the economic literature, yet it does not imply useful information of the underlying distribution. For linking Engels's Law to micro-economics, stronger concepts of stochastic association are needed. This motivates the empirical study of the proposed alternative concepts of negative association. � 2011.
Description: Chakrabarty, Manisha, Indian Institute of Management Calcutta, India; Hildenbrand, Werner, University of Bonn, Germany
ISSN/ISBN - 03044068
DOI - 10.1016/j.jmateco.2011.01.006
Appears in Collections:Economics

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.