A Count Data Model with Endogenous Household Specific Censoring: The Number of Nights to Stay

Posted: 6 Jul 2009

See all articles by Jörgen Hellström

Jörgen Hellström

Umeå University - Umeå School of Business and Economics

Jonas Nordstrom

University of Umea - Department of Economics

Date Written: September 5, 2007

Abstract

In this paper a count data regression model accounting for endogenous censoring with household specific censoring thresholds is presented. The presented modelling approach is utilized in an analysis of household choice of total number of nights to spend on monthly recreational trips. The empirical study reveals that the suggested approach is feasible and that accounting for endogenous censoring gives a better fit to the data.

Keywords: endogenous censoring, recreational trip demand, count data

JEL Classification: C15, C34, C35, C51, D12

Suggested Citation

Hellström, Jörgen and Nordstrom, Jonas, A Count Data Model with Endogenous Household Specific Censoring: The Number of Nights to Stay (September 5, 2007). Empirical Economics, Vol. 35, 2008. Available at SSRN: https://ssrn.com/abstract=1428777

Jörgen Hellström (Contact Author)

Umeå University - Umeå School of Business and Economics ( email )

Umea, 90187
Sweden
+46-90-7866987 (Phone)

HOME PAGE: http://www.usbe.umu.se/english/about/staff/?languageId=1&uid=johe0001

Jonas Nordstrom

University of Umea - Department of Economics ( email )

Umeå University
Umea, SE - 90187
Sweden

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