An alternative method to estimate income variance in cross-sectional data

Hiroki Uematsu, Ashok Mishra, Rebekah Rachel Powell

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A popular approach to estimating income variance in cross-sectional data is to use an aggregate method by categorizing sample observations into arbitrarily formed groups, taking into account some socio-economic attributes. This study proposes an alternative technique that can be used to estimate income variance from cross-sectional data. Results indicate that this multiplicative heteroskedastic feasible least squares estimation procedure is consistent and efficient, consumes less time and requires less manipulation of data.

Original languageEnglish (US)
Pages (from-to)1431-1436
Number of pages6
JournalApplied Economics Letters
Volume19
Issue number15
DOIs
StatePublished - Oct 2012
Externally publishedYes

Fingerprint

Cross-sectional data
Income
Least squares
Socio-economics
Manipulation

Keywords

  • aggregate approach
  • cross-sectional data
  • feasible generalized least squares
  • income variance
  • multiplicative heteroskedasticity

ASJC Scopus subject areas

  • Economics and Econometrics

Cite this

An alternative method to estimate income variance in cross-sectional data. / Uematsu, Hiroki; Mishra, Ashok; Powell, Rebekah Rachel.

In: Applied Economics Letters, Vol. 19, No. 15, 10.2012, p. 1431-1436.

Research output: Contribution to journalArticle

Uematsu, Hiroki ; Mishra, Ashok ; Powell, Rebekah Rachel. / An alternative method to estimate income variance in cross-sectional data. In: Applied Economics Letters. 2012 ; Vol. 19, No. 15. pp. 1431-1436.
@article{55d3c61ab3554d0490bb7a50ef6b2cf1,
title = "An alternative method to estimate income variance in cross-sectional data",
abstract = "A popular approach to estimating income variance in cross-sectional data is to use an aggregate method by categorizing sample observations into arbitrarily formed groups, taking into account some socio-economic attributes. This study proposes an alternative technique that can be used to estimate income variance from cross-sectional data. Results indicate that this multiplicative heteroskedastic feasible least squares estimation procedure is consistent and efficient, consumes less time and requires less manipulation of data.",
keywords = "aggregate approach, cross-sectional data, feasible generalized least squares, income variance, multiplicative heteroskedasticity",
author = "Hiroki Uematsu and Ashok Mishra and Powell, {Rebekah Rachel}",
year = "2012",
month = "10",
doi = "10.1080/13504851.2011.631887",
language = "English (US)",
volume = "19",
pages = "1431--1436",
journal = "Applied Economics Letters",
issn = "1350-4851",
publisher = "Routledge",
number = "15",

}

TY - JOUR

T1 - An alternative method to estimate income variance in cross-sectional data

AU - Uematsu, Hiroki

AU - Mishra, Ashok

AU - Powell, Rebekah Rachel

PY - 2012/10

Y1 - 2012/10

N2 - A popular approach to estimating income variance in cross-sectional data is to use an aggregate method by categorizing sample observations into arbitrarily formed groups, taking into account some socio-economic attributes. This study proposes an alternative technique that can be used to estimate income variance from cross-sectional data. Results indicate that this multiplicative heteroskedastic feasible least squares estimation procedure is consistent and efficient, consumes less time and requires less manipulation of data.

AB - A popular approach to estimating income variance in cross-sectional data is to use an aggregate method by categorizing sample observations into arbitrarily formed groups, taking into account some socio-economic attributes. This study proposes an alternative technique that can be used to estimate income variance from cross-sectional data. Results indicate that this multiplicative heteroskedastic feasible least squares estimation procedure is consistent and efficient, consumes less time and requires less manipulation of data.

KW - aggregate approach

KW - cross-sectional data

KW - feasible generalized least squares

KW - income variance

KW - multiplicative heteroskedasticity

UR - http://www.scopus.com/inward/record.url?scp=84858405481&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84858405481&partnerID=8YFLogxK

U2 - 10.1080/13504851.2011.631887

DO - 10.1080/13504851.2011.631887

M3 - Article

VL - 19

SP - 1431

EP - 1436

JO - Applied Economics Letters

JF - Applied Economics Letters

SN - 1350-4851

IS - 15

ER -