Un modèle d'estimation de la valeur des lots de bois à partir de résultats d'enchères avec invendus
AbstractTimber stumpage appraisal is an important issue for Public Forest Services so as to set a relevant reserve price and to obtain a fair market value. The hedonic price function approach is a useful method to infer the appraisal timber value given that many characteristics may influence the stumpage price. We adopt the transaction-evidence timber appraisal method using a data set including timber auctions. An econometric problem arises from the fact that a large number of lots remain unsold at the end of the sales. In addition, the seller reserve price is not announced in French timber auctions. We study the variables that determine the probability that a lot will be sold or not and the implicit prices of the characteristics of the lots. We correct the bias due to the existence of unsold lots using the sample selection model of Heckman. Classification JEL : D44, C24, L73, Q23
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Bibliographic InfoArticle provided by Presses de Sciences-Po in its journal Revue économique.
Volume (Year): 57 (2006)
Issue (Month): 3 ()
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Find related papers by JEL classification:
- D44 - Microeconomics - - Market Structure and Pricing - - - Auctions
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models
- L73 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Forest Products
- Q23 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Forestry
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Puttock, G. David & Prescott, D.M. & Meilke, Karl D., 1989. "Stumpage Prices In Southwestern Ontario: A Hedonic Function Approach," Working Papers 123573, University of Guelph, Department of Food, Agricultural and Resource Economics.
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