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Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis

Tomoaki Nakatani () and Kazuo Sato
Additional contact information
Kazuo Sato: Dept. of Dairy Science, Rakuno Gakuen University, Postal: Rakuno Gakuken University, Bunkyodai-Midorimachi, Ebetsu, Hokkaido 069-8501, Japan

No 615, SSE/EFI Working Paper Series in Economics and Finance from Stockholm School of Economics

Abstract: This paper extends the truncated and endogenously stratified Poisson and negative binomial models to three alternative discrete distributions, namely the generalized Poisson, geometric, and Borel distributions. Our primary intention here is to demonstrate how improper treatment of the data generates divergent outcomes by applying those distributions to recreation trip data gathered from surveys of visitors to an indigenous horse park in Japan.

Our empirical application shows that failure to account for overdispersion, truncation, and endogenous stratification leads to substantial changes in parameter estimates and their standard errors. The parameter on the travel cost tends to be underestimated in absolute value in the standard setups. This results in serious overestimation of the economic benefit that the recreation site offers to society. Even when the endogenous stratification is incorporated, ignoring overdispersion causes the per capita per trip consumer's surplus to be over seven times larger than that obtained when endogenous stratification and overdispersion are considered.

Keywords: Count data models; Endogenous stratification; Overdispersion; Recreation demand analysis; Consumer's surplus (search for similar items in EconPapers)
JEL-codes: C34 C35 D12 Q26 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2005-11-30
New Economics Papers: this item is included in nep-cul and nep-tur
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published as Nakatani, Tomoaki and Kazuo Sato, 'Truncation and Endogenous Stratification in Various Count Data Models for Recreation Demand Analysis' in Journal of Development and Agricultural Economics, 2010, pages 293-302.

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Persistent link: https://EconPapers.repec.org/RePEc:hhs:hastef:0615

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