Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty

Publikation: Working paper › Forskning

Standard

Ordinal Welfare Comparisons with Multiple Discrete Indicators : A First Order Dominance Approach and Application to Child Poverty. / Arndt, Channing; Distante, Roberta; Hussain, M. Azhar; Pham Lan, Huong; Ibraimo, Maimuna; Østerdal, Lars Peter .

Department of Economics, University of Copenhagen, 2011.

Publikation: Working paper › Forskning

Harvard

Arndt, C, Distante, R, Hussain, MA, Pham Lan, H, Ibraimo, M & Østerdal, LP 2011 'Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty' Department of Economics, University of Copenhagen.

APA

Arndt, C., Distante, R., Hussain, M. A., Pham Lan, H., Ibraimo, M., & Østerdal, L. P. (2011). Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty. Department of Economics, University of Copenhagen. University of Copenhagen. Institute of Economics. Discussion Papers (Online) Bind 2011 Nr. 13

Vancouver

Arndt C, Distante R, Hussain MA, Pham Lan H, Ibraimo M, Østerdal LP. Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty. Department of Economics, University of Copenhagen. 2011 apr.

Author

Arndt, Channing ; Distante, Roberta ; Hussain, M. Azhar ; Pham Lan, Huong ; Ibraimo, Maimuna ; Østerdal, Lars Peter . / Ordinal Welfare Comparisons with Multiple Discrete Indicators : A First Order Dominance Approach and Application to Child Poverty. Department of Economics, University of Copenhagen, 2011. (University of Copenhagen. Institute of Economics. Discussion Papers (Online); Nr. 13, Bind 2011).

Bibtex

@techreport{acb5fe6a80a74a2c9404639e31ce03f0,
title = "Ordinal Welfare Comparisons with Multiple Discrete Indicators: A First Order Dominance Approach and Application to Child Poverty",
abstract = "We develop an ordinal method for making welfare comparisons between populations with multidimensional discrete well-being indicators observed at the micro level. The approach assumes that, for each well-being indicator, the levels can be ranked from worse to better; however, no assumptions are made about relative importance of any dimension nor about complementarity/substitutability relationships between dimensions. The method is based on the concept of multidimensional first order dominance. We introduce a rapid and reliable algorithm for empirically determining whether one population dominates another on the basis of available binary indicators by drawing upon linear programming theory. These approaches are applied to household survey data from Vietnam and Mozambique with a focus on child poverty comparisons over time and between regions.",
author = "Channing Arndt and Roberta Distante and Hussain, {M. Azhar} and {Pham Lan}, Huong and Maimuna Ibraimo and {\O}sterdal, {Lars Peter}",
year = "2011",
month = apr,
language = "English",
series = "University of Copenhagen. Institute of Economics. Discussion Papers (Online)",
number = "13",
publisher = "Department of Economics, University of Copenhagen",
address = "Denmark",
type = "WorkingPaper",
institution = "Department of Economics, University of Copenhagen",

}

RIS

TY - UNPB

T1 - Ordinal Welfare Comparisons with Multiple Discrete Indicators

T2 - A First Order Dominance Approach and Application to Child Poverty

AU - Arndt, Channing

AU - Distante, Roberta

AU - Hussain, M. Azhar

AU - Pham Lan, Huong

AU - Ibraimo, Maimuna

AU - Østerdal, Lars Peter

PY - 2011/4

Y1 - 2011/4

N2 - We develop an ordinal method for making welfare comparisons between populations with multidimensional discrete well-being indicators observed at the micro level. The approach assumes that, for each well-being indicator, the levels can be ranked from worse to better; however, no assumptions are made about relative importance of any dimension nor about complementarity/substitutability relationships between dimensions. The method is based on the concept of multidimensional first order dominance. We introduce a rapid and reliable algorithm for empirically determining whether one population dominates another on the basis of available binary indicators by drawing upon linear programming theory. These approaches are applied to household survey data from Vietnam and Mozambique with a focus on child poverty comparisons over time and between regions.

AB - We develop an ordinal method for making welfare comparisons between populations with multidimensional discrete well-being indicators observed at the micro level. The approach assumes that, for each well-being indicator, the levels can be ranked from worse to better; however, no assumptions are made about relative importance of any dimension nor about complementarity/substitutability relationships between dimensions. The method is based on the concept of multidimensional first order dominance. We introduce a rapid and reliable algorithm for empirically determining whether one population dominates another on the basis of available binary indicators by drawing upon linear programming theory. These approaches are applied to household survey data from Vietnam and Mozambique with a focus on child poverty comparisons over time and between regions.

M3 - Working paper

T3 - University of Copenhagen. Institute of Economics. Discussion Papers (Online)

BT - Ordinal Welfare Comparisons with Multiple Discrete Indicators

PB - Department of Economics, University of Copenhagen

ER -

ID: 33249971