Strazzera, Elisabetta - Genius, Margarita (2000) Evaluation of likelihood based tests for non-nested dichotomous choice contingent valuation models. Working Paper. CRENoS.
Official URL: http://www.crenos.it/working/pdf/00-12.pdf
Distributional assumptions are crucial in the estimation of the value of public projects assessed by means of contingent valuations analyses, and it would seem obvious that tests for model specification should play an important part in the statistical analysis. It can be observed, though, that when the competing hypotheses are non nested, the choice of the model is often based on heuristic grounds, or, at most, on deterministic selection model criteria such as Akaike’s (1973). In this paper we study two alternative, probabilistic, approaches to checking model specification, that, like Akaike’s, are based on the Kullback-Leibler Information Criterion (KLIC): the model selection testing proposed by Vuong (1989) and the non nested model test proposed by Cox, in the simulated approach of Pesaran and Pesaran (1993). The three approaches are confronted by comparing their performance in selecting among different contingent valuation models applied to simulated data. Our preliminary results seem to warrant the use of Vuong’s test, complemented in same cases by the application of the Cox test.
|Item Type:||Technical Report / Working Paper / Project Report (Working Paper)|
|Institution:||Universita' degli Studi di Cagliari|
|Divisions:||Centri > CRENoS Centro Ricerche Economiche Nord Sud|
|Subjects:||Area 13 - Scienze economiche e statistiche > SECS-S/03 Statistica economica|
|Uncontrolled Keywords:||Valuation models, Cox test, Vuong test, Akaike information criterion|
|Deposited On:||13 Nov 2008 08:39|
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