Skip to main content

International Demand Equations for Forest Products: A Comparison of Methods

Buy Article:

$60.90 plus tax (Refund Policy)

Abstract:

The objective of this study was to compare different methods of estimating the demand equations of global forest sector models. Past applications have shown that model projections depend critically on the elasticity of demand with respect to income and prices. To measure the elasticity coefficients, nine groups of products were examined, ranging from fuelwood to paper and paperboard, in 64 countries. The analysis was done with panel data on consumption, price and income, from 1973 to 1997. Two alternative forms were hypothesized: a static demand model, and a dynamic partial adjustment model. The demand equations were estimated first with classical panel methods: ordinary least squares pooling of country data, least squares with country dummy variables, between group pooling and error-component models. However, rejection of the hypothesis of homogeneity of elasticities across countries led to the investigation of two shrinkage estimators: the Stein rule and the iterative empirical Bayes estimator. Within-sample predictions were carried out to compare the accuracy of each estimator. The Stein rule estimator, based on the static model, gave the smallest root mean square error. Nevertheless, because the Stein-rule estimates often had theoretically wrong signs and large variances, other estimators, although biased, were deemed preferable for policy analysis. In conclusion, pooling by ordinary least squares with country dummy variables was one of the most useful methods to obtain demand equations applicable to many countries. Furthermore, static models predicted demand better than dynamic models, conditional on price and national income.

Keywords: DATA; DEMAND; ECONOMETRICS; FOREST; INTERNATIONAL; PANEL; PRODUCTS

Document Type: Research Article

DOI: http://dx.doi.org/10.1080/028275801300088242

Affiliations: Department of Forest Ecology and Management, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI 53706-1598, USA

Publication date: March 1, 2001

More about this publication?
tandf/sfor/2001/00000016/00000002/art00007
dcterms_title,dcterms_description,pub_keyword
6
5
20
40
5

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more