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A Bivariate Integer Valued Allocation Model for Guest Nights in Hotels and Cottages

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Author Info
Brännäs, Kurt () (Department of Economics, Umeå University)
Nordström, Jonas () (Department of Economics, Umeå University)

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Abstract

The number of Norwegian guest nights in Swedish hotels and cottages is studied. Aggregation of an integer-valued AR(1) model and a two-stage demand model underlies the empirical results. The parameters in the model are check-out probability, mean check-in and the probability of selecting the hotel alternative. These parameters are specified to depend on economic variables implied by demand analysis. Via the probability of selecting a hotel, the empirical results indicate a substitution towards less expensive accommodation as the Swedish price level increases. For the check-out probability, an increase in the cottage price reduces the probability for staying another night in cottage, whereas an increase in the hotel price indicates a decrease in the check-out probability for hotel.

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Publisher Info
Paper provided by Umeå University, Department of Economics in its series Umeå Economic Studies with number 547.

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Length: 23 pages
Date of creation: 11 Dec 2000
Date of revision:
Handle: RePEc:hhs:umnees:0547

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Postal: Department of Economics, Umeå University, S-901 87 Umeå, Sweden
Phone: 090 - 786 61 42
Fax: 090 - 77 23 02
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Web page: http://www.econ.umu.se/
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Related research
Keywords: Integer-valued time series; demand analysis; tourism; accomodation; hotel; cottage;

Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis

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This page was last updated on 2009-12-17.


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