CEU Electronic Theses and Dissertations, 2017
| Author | Malykhin, Nikita |
|---|---|
| Title | 2D Gravity Model Estimation on Tourism Panel Data: Case of New Zealand |
| Summary | The main focus of the paper is to determine key factors influencing tourism flow's size to New Zealand. A gravity model, which is usually applied in trade theory, is used. Unlike most articles in the field using log-linearization on cross-sectional data, the study implements Poisson pseudo-Maximum Likelihood estimator for panel data on several types of tourism flows (arrivals, departures, bilateral flows). The PPMLE is employed with the multiplicative form of the gravity equation rather than its log-linearized version, due to recent critic of the latter approach by various researchers. Overall results support usual findings on positive relationship between economy sizes and tourism flows, while big distance is a strong barrier for visitors. Additionally, an evidence on significant differences between holiday and business trips preferences is presented. |
| Supervisor | Kőrösi, Gábor |
| Department | Economics MA |
| Full text | https://www.etd.ceu.edu/2017/malykhin_nikita.pdf |
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