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Pigou-Dalton consistent multidimensional inequality measures: some characterizations C. Lasso de la Vega, A.de Sarachu, and A. Urrutia University of the.

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Presentation on theme: "Pigou-Dalton consistent multidimensional inequality measures: some characterizations C. Lasso de la Vega, A.de Sarachu, and A. Urrutia University of the."— Presentation transcript:

1 Pigou-Dalton consistent multidimensional inequality measures: some characterizations C. Lasso de la Vega, A.de Sarachu, and A. Urrutia University of the Basque Country A consistent multidimensional generalization of the Pigou-Dalton transfer principle: an Analysis (2007) The B.E. Journal of Theoretical Economics.

2 PIGOU-DALTON CONSISTENT MULTIDIMENSIONAL INEQUALITY MEASURES THE OUTLINE: 1.Motivation 2.Some basic notions about: The Pigou-Dalton transfer principle in the one-dimensional framework The Uniform Majorization 3.The proposal of a proper generalization of the Pigou-Dalton principle : The Pigou-Dalton bundle principle 4.Characterizations of classes of aggregative multidimensional inequality measures consistent with the Pigou Dalton bundle principle 5.Some concluding remarks

3 1. MOTIVATION How might multidimensional distributions be compared in order to say that one distribution is more equal than another ? Multidimensional Context: Uniform majorization, UM One dimensional Context: Pigou-Dalton transfer principle According to the Pigou-Dalton transfer principle inequality is bound to diminish. These two distributions can not be compared with UM.

4 Where xjxj xixi yjyj Xj+Xj+ yiyi X i -+ 2. BASIC NOTIONS about the Pigou-Dalton principle in the unidimensional setting Bistochastic matrix: Non negatives entries each row sums to 1 each column sums to 1 Single attribute: individual i’s income

5 2. BASIC NOTIONS about the Pigou-Dalton transfer principle in the unidimensional setting Pigou-Dalton transfer principle: if Y can be obtained from X by a finite sequence of Pigou-Dalton progressive transfers or equivalently If Y =BX, where B is a bistochastic matrix

6 2. BASIC NOTIONS ABOUT THE UNIFORM MAJORIZATION Bundle of attributes of the individual i Individual i’s quantity of attribute j incomeincome health education Uniform majorization: if Y= BX where B is a bistochastic matrix (Kolm, (1977); Marshall and Olkin, (1979))

7 Attrib 1 Attrib 2 2 3 1 BX Attrib 1 Attrib 2 2 3 1 Attrib 1 Attrib 2 2 3 1 2. BASIC NOTIONS ABOUT THE UNIFORM MAJORIZATION

8 Some difficulties arise with UM: 1) The reasons for transferring all attributes in the same proportions are not clear. 2) It is not necessarily the case that each attribute can be considered as transferable, for instance for educational attainment or health status. 3) This criterion warrants transfers of different directions for different attributes, and is not limited to cases when one individual is richer than another, being not obvious that these transfers are inequality reducing. Attribute 1 Attribute 2 2 3 1 Attribute 1 Attribute 2 2 3 1 2. BASIC NOTIONS ABOUT THE UNIFORM MAJORIZATION

9 Who is the richer person? If a person has more of all attributes than another, we can unambiguously consider this person richer than the second. The Pigou-Dalton Bundle principle, PD, requires that whenever an individual i is richer than another j, a transfer of at least part of one attribute from individual i to j that preserves the order, decreases inequality. This principle gets over the previous difficulties: 1) It is not necessary to transfer all attributes in the same proportions. 2) the attributes which are considered as transferable can be selected. 3) It takes into consideration who is the richer and who is the poorer. Fleurbaey and Trannoy, Soc Choice Welfare (2003) 3. THE PIGOU-DALTON BUNDLE PRINCIPLE

10 4. OUR CHARACTERIZATION RESULTS Multidimensional aggregative inequality measures consistent with Pigou- Dalton Bundle principle, from two different approaches:  The characterization of social evaluation functions consistent with the Pigou- Dalton bundle principle, and the derivation of inequality measures from them afterwards. (following the Atkinson, Kolm Pollak approaches).  The derivation of the inequality measures consistent with the Pigou-Dalton bundle principle, without explicitly specifying the underlying social evaluation functions.

11 Following Tsui (1995): Multidimensional generalization of the Atkinson family 4. OUR CHARACTERIZATION RESULTS

12 Following Tsui (1995): MULTIDIMENSIONAL GENERALIZATION OF THE KOLM-POLLAK FAMILY 4. OUR CHARACTERIZATION RESULTS

13 Following Tsui (1999): MULTIDIMENSIONAL GENERALIZATION OF THE GENERALIZED ENTROPY FAMILY 4. OUR CHARACTERIZATION RESULTS

14 There exist measures in our family that don’t belong to the family derived by Tsui, that is, measures fullfilling PD and not UM, and vice versa There exist measures in the family derived by Tsui that don’t belong to our family, that is, measures fullfilling UM and not PD There exist measures belonging to both families, that is, measures fullfilling PD and UM.

15 Bourguignon (1999) √ 5. FUTURE RESEARCH Bourguignon (1999) A related area of research: The characterization of all multidimensional inequality measures that are Pigou-Dalton Bundle consistent. (without imposing the aggregative principle).

16 This paper : provides a greater understanding of the Pigou-Dalton transfer principle in the multidimensional framework represents a step forward in the derivation of multidimensional inequality measures by imposing some convenient properties.


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