Estimation of Lluch's extended linear expenditure system from cross-sectional data

Research output: Contribution to journalArticleResearchpeer-review

5 Citations (Scopus)

Abstract

Complete sets of demand relations may be fitted using varying types of sample information and varying a priori specifications. In this paper the identification and estimation of Lluch's extended linear expenditure system (ELES) from cross‐sectional data alone is investigated. Under the most favourable conditions of data availability, all of the parameters of the ELES model are identified, and are estimable by the method of reduced form least squares. This is the case where observations on permanent income are available for the consuming units of the cross section and where, in addition, prices are recorded (even though they do not vary from one consuming unit to the next). Under the least favourable conditions only the marginal budget shares are identified. This corresponds to the case where no data on permanent income, or on savings, are available. The conventional ordinary least squares estimators of the marginal budget shares are, under these conditions, biased and inconsistent. Expressions are developed for the large‐sample biases.

Original languageEnglish
Pages (from-to)111-117
Number of pages7
JournalAustralian Journal of Statistics
Volume15
Issue number2
DOIs
Publication statusPublished - 1 Jan 1973

Cite this

@article{e7fdd23ec98c4c0c896ca40c7a2f2154,
title = "Estimation of Lluch's extended linear expenditure system from cross-sectional data",
abstract = "Complete sets of demand relations may be fitted using varying types of sample information and varying a priori specifications. In this paper the identification and estimation of Lluch's extended linear expenditure system (ELES) from cross‐sectional data alone is investigated. Under the most favourable conditions of data availability, all of the parameters of the ELES model are identified, and are estimable by the method of reduced form least squares. This is the case where observations on permanent income are available for the consuming units of the cross section and where, in addition, prices are recorded (even though they do not vary from one consuming unit to the next). Under the least favourable conditions only the marginal budget shares are identified. This corresponds to the case where no data on permanent income, or on savings, are available. The conventional ordinary least squares estimators of the marginal budget shares are, under these conditions, biased and inconsistent. Expressions are developed for the large‐sample biases.",
author = "Alan Powell",
year = "1973",
month = "1",
day = "1",
doi = "10.1111/j.1467-842X.1973.tb00015.x",
language = "English",
volume = "15",
pages = "111--117",
journal = "Australian Journal of Statistics",
issn = "0004-9581",
publisher = "Blackwell Publishing Ltd Oxford, UK",
number = "2",

}

Estimation of Lluch's extended linear expenditure system from cross-sectional data. / Powell, Alan.

In: Australian Journal of Statistics, Vol. 15, No. 2, 01.01.1973, p. 111-117.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Estimation of Lluch's extended linear expenditure system from cross-sectional data

AU - Powell, Alan

PY - 1973/1/1

Y1 - 1973/1/1

N2 - Complete sets of demand relations may be fitted using varying types of sample information and varying a priori specifications. In this paper the identification and estimation of Lluch's extended linear expenditure system (ELES) from cross‐sectional data alone is investigated. Under the most favourable conditions of data availability, all of the parameters of the ELES model are identified, and are estimable by the method of reduced form least squares. This is the case where observations on permanent income are available for the consuming units of the cross section and where, in addition, prices are recorded (even though they do not vary from one consuming unit to the next). Under the least favourable conditions only the marginal budget shares are identified. This corresponds to the case where no data on permanent income, or on savings, are available. The conventional ordinary least squares estimators of the marginal budget shares are, under these conditions, biased and inconsistent. Expressions are developed for the large‐sample biases.

AB - Complete sets of demand relations may be fitted using varying types of sample information and varying a priori specifications. In this paper the identification and estimation of Lluch's extended linear expenditure system (ELES) from cross‐sectional data alone is investigated. Under the most favourable conditions of data availability, all of the parameters of the ELES model are identified, and are estimable by the method of reduced form least squares. This is the case where observations on permanent income are available for the consuming units of the cross section and where, in addition, prices are recorded (even though they do not vary from one consuming unit to the next). Under the least favourable conditions only the marginal budget shares are identified. This corresponds to the case where no data on permanent income, or on savings, are available. The conventional ordinary least squares estimators of the marginal budget shares are, under these conditions, biased and inconsistent. Expressions are developed for the large‐sample biases.

UR - http://www.scopus.com/inward/record.url?scp=84990532151&partnerID=8YFLogxK

U2 - 10.1111/j.1467-842X.1973.tb00015.x

DO - 10.1111/j.1467-842X.1973.tb00015.x

M3 - Article

VL - 15

SP - 111

EP - 117

JO - Australian Journal of Statistics

JF - Australian Journal of Statistics

SN - 0004-9581

IS - 2

ER -