scholarly journals Pooling surveys in the estimation of income and price elasticities: An application to Tunisian households

2003 ◽  
Vol 28 (1) ◽  
pp. 181-201 ◽  
Author(s):  
Mohamed Ayadi ◽  
Jaya Krishnakumar ◽  
Mohamed Salah Matoussi
Keyword(s):  
Price Elasticities ◽  
Income And Price Elasticities

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.

scholarly journals A Uniform Substitute Demand Model with Varying Coefficients

2000 ◽  
Vol 32 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Mark G. Brown ◽  
Jong-Yinq Lee
Keyword(s):  
Orange Juice ◽  
Demand System ◽  
Demand Model ◽  
Demand Modeling ◽  
Price Elasticities ◽  
Varying Coefficients ◽  
Modeling Approach ◽  
Income And Price Elasticities ◽  
Over Time

AbstractThis study extends Batten's synthetic demand modeling approach to increase the flexibility of the uniform substitute specification of the Rotterdam demand system. Marginal propensities to consume (MPC) vary with budget shares and Slutsky coefficients are defined in terms of varying MPCs. An application of the model to orange-juice products shows that the pattern of income and price elasticities over time is much different than when MPCs are restricted to be constant.

scholarly journals Residential Demand for Electricity and Natural Gas in Pakistan

1983 ◽  
Vol 22 (1) ◽  
pp. 23-36 ◽  
Author(s):  
Mahmood Iqbal
Keyword(s):  
Economic Theory ◽  
Natural Gas ◽  
Price Elasticity ◽  
Income Elasticity ◽  
A Priori ◽  
Policy Implications ◽  
A Priori Knowledge ◽  
Price Elasticities ◽  
Residential Demand ◽  
Income And Price Elasticities

A model for residential demand for fuel in Pakistan was developed on the basis of stock of fuel-consuming appliances and their rate of utilization. Income and price elasticities of natural gas and electricity are estimated by the OLS and GLS methods. The income elasticity of natural gas and electricity and price elasticity of natural gas are found statistically significant and consistent with a priori knowledge of economic theory. Several policy implications are pointed out and suggestions are made for improvement in future estimations.

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