scholarly journals Income and price elasticities of demand in South Africa: An application of the linear expenditure system

2015 ◽  
Author(s):  
Rulof Burger ◽  
Wicus Coetzee ◽  
Friedrich Kreuser ◽  
Neil Rankin
Keyword(s):  
South Africa ◽  
Price Elasticities ◽  
Linear Expenditure System ◽  
Expenditure System ◽  
Income And Price Elasticities

scholarly journals Income and Price Elasticities of Demand in South Africa: An Application of the Linear Expenditure System

2017 ◽  
Vol 85 (4) ◽  
pp. 491-514 ◽  
Author(s):  
Rulof Petrus Burger ◽  
Lodewicus Charl Coetzee ◽  
Carl Friedrich Kreuser ◽  
Neil Andrew Rankin
Keyword(s):  
South Africa ◽  
Price Elasticities ◽  
Linear Expenditure System ◽  
Expenditure System ◽  
Income And Price Elasticities

scholarly journals Household Consumption and Saving Behaviour in Pakistan: An Application of the Extended Linear Expenditure System

1985 ◽  
Vol 24 (1) ◽  
pp. 23-37 ◽  
Author(s):  
M. Shaukat Ali
Keyword(s):  
Household Income ◽  
Important Determinant ◽  
Household Consumption ◽  
Food Prices ◽  
Linear Expenditure System ◽  
Price Effects ◽  
Complete Set ◽  
Consumption And Saving ◽  
Expenditure System ◽  
Income And Price Elasticities

The paper aims at developing a complete set of income and price elasticities of household consumption and saving for Pakistan by applying the Extended Linear Expenditure System (ELES) to the data of the 1979 Household Income and Expenditure Survey. Items like Rent on Housing, Furniture & Fixture, Education, Recreation, and Traveling & Transportation were found to be income-elastic as well as fairly sensitive to changes in (own) prices. As regards the cross-price effects, food prices turned out to be the most important determinant of demand for all other commodities and also of total expenditure (hence of saving). Expenditure on education is particularly affected by the rising cost of food.

Estimation of the Linear Expenditure System

Econometrica ◽  
1969 ◽  
Vol 37 (4) ◽  
pp. 611 ◽  
Author(s):  
Robert A. Pollak ◽  
Terence J. Wales
Keyword(s):  
Linear Expenditure System ◽  
Expenditure System

Effect of the energy crisis on the elasticities of demand for forest products in OECD countries

1986 ◽  
Vol 16 (5) ◽  
pp. 968-974 ◽  
Author(s):  
Joseph Buongiorno ◽  
Ham Shee Chang
Keyword(s):  
Gross Domestic Product ◽  
Forest Products ◽  
Energy Crisis ◽  
Domestic Product ◽  
Price Elasticities ◽  
Pooled Data ◽  
Demand Models ◽  
Oil Embargo ◽  
Income And Price Elasticities

The purpose of this paper was to test if there had been systematic changes in the income and price elasticities of demand for forest products after the first oil embargo of 1973. The test used pooled data from 10 OECD (Organization for Economic Cooperation and Development) countries between 1961 and 1981. Eight commodity groups were considered: coniferous sawn wood, nonconiferous sawn wood, plywood, particleboard, fibreboard, newsprint, other printing and writing paper, and other paper and paperboard. The demand models used were distributed lags on first logarithmic differences of income and price in each country and year. The hypothesis that the long-term elasticities of demand with respect to gross domestic product were the same from 1963 to 1981 as from 1974 to 1981 was rejected for coniferous sawn wood and printing and writing paper. Long-term price elasticities had also changed for the same commodities. A negative trend in the demand of coniferous sawn wood and particleboard, independent of prices or gross domestic product, appeared to have set in after 1973.

Income and Price Elasticities in India's Trade

1994 ◽  
Vol 19 (2) ◽  
pp. 13-20
Author(s):  
G S Gupta ◽  
H Keshava
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Individual Country ◽  
Price Elasticities ◽  
The World ◽  
Annual Time Series ◽  
Income And Price Elasticities ◽  
Annual Time

This article by G S Gupta and H Keshava estimates the export and import functions for India both at the aggregate (rest of the world) as well as the important individual country levels using annual time series data for the period 1960-61 through 1990-91.

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