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Joint hedonic travel cost method: Co...

Araujo, Rogerio C. Pereira.

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Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois./
Author:	Araujo, Rogerio C. Pereira.
Description:	220 p.
Notes:	Adviser: John B. Braden.
Contained By:	Dissertation Abstracts International63-02A.
Subject:	Agriculture, Fisheries and Aquaculture. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3044042
ISBN:	0493579001

Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois.
Araujo, Rogerio C. Pereira.

Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois. - 220 p.

Adviser: John B. Braden.

Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.

This study evaluates the performance of the hedonic travel cost method by applying recent methodological advances in recreation valuation: conjoint analysis and combined revealed and stated preference data. The combination of these techniques creates a joint hedonic travel cost method that consists of using better quality data to overcome the problem of multicollinearity and appearance of negative implicit prices. The hedonic travel cost models are specified by combining hedonic price functional forms (linear, semilog) and data types (revealed, stated, pooled data). Prior to the estimation of the joint models, the revealed and stated preference models are statistically tested to verify similarities in the underlying preference structure. The selection of the best hedonic travel cost models are based on the overall performance of the hedonic price and inverse demand models regarding the goodness-of-fit and model parameters. The results showed that the semilog hedonic price models coupled with the pooled data provided the best basis for estimation of inverse demands. Even though the joint hedonic travel cost method had reduced the collinearity between attributes and produced some gains in efficiency, it did not improve considerably the significance of the implicit prices and estimation of theoretically consistent inverse demands.

ISBN: 0493579001Subjects--Topical Terms:

1020913
Agriculture, Fisheries and Aquaculture.

Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois.
LDR:02339nam 2200289 a 45 001 929050
005 20110427
008 110427s2002 eng d
020 $a 0493579001
035 $a (UnM)AAI3044042
035 $a AAI3044042
040 $a UnM $c UnM
100 1 $a Araujo, Rogerio C. Pereira. $3 1252535
245 1 0 $a Joint hedonic travel cost method: Combining revealed and stated preference data to estimate demand for attribute quality of sport fishing in Illinois.
300 $a 220 p.
500 $a Adviser: John B. Braden.
500 $a Source: Dissertation Abstracts International, Volume: 63-02, Section: A, page: 0688.
502 $a Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2002.
520 $a This study evaluates the performance of the hedonic travel cost method by applying recent methodological advances in recreation valuation: conjoint analysis and combined revealed and stated preference data. The combination of these techniques creates a joint hedonic travel cost method that consists of using better quality data to overcome the problem of multicollinearity and appearance of negative implicit prices. The hedonic travel cost models are specified by combining hedonic price functional forms (linear, semilog) and data types (revealed, stated, pooled data). Prior to the estimation of the joint models, the revealed and stated preference models are statistically tested to verify similarities in the underlying preference structure. The selection of the best hedonic travel cost models are based on the overall performance of the hedonic price and inverse demand models regarding the goodness-of-fit and model parameters. The results showed that the semilog hedonic price models coupled with the pooled data provided the best basis for estimation of inverse demands. Even though the joint hedonic travel cost method had reduced the collinearity between attributes and produced some gains in efficiency, it did not improve considerably the significance of the implicit prices and estimation of theoretically consistent inverse demands.
590 $a School code: 0090.
650 4 $a Agriculture, Fisheries and Aquaculture. $3 1020913
650 4 $a Economics, Agricultural. $3 626648
650 4 $a Recreation. $3 535376
690 $a 0503
690 $a 0792
690 $a 0814
710 2 0 $a University of Illinois at Urbana-Champaign. $3 626646
773 0 $t Dissertation Abstracts International $g 63-02A.
790 $a 0090
790 1 0 $a Braden, John B., $e advisor
791 $a Ph.D.
792 $a 2002
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3044042