Ng, Pin T. and Lew, Alan A. (2009) Quantile regression analysis of visitor spending: An example of mainland Chinese tourists in Hong Kong: Working paper series--09-06. Working Paper. NAU W.A. Franke College of Business.
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Abstract
A common approach to market segmentation based on visitor expenditures is to use the least-squares regression analysis to determine statistically significant variables upon which key market segments are identified for marketing purposes. This was done by Wang (2004) for survey data based on expenditures by Mainland Chinese visitors to Hong Kong. We use this same dataset to demonstrate the benefits of using the quantile regression analysis approach to better identify tourist spending patterns and market segments. The quantile regression measures tourist spending in different categories against a fixed range of dependent variable, which distinguished between lower, medium, and higher spenders. The results show that quantile regression is less susceptible to influence by outlier values and is better able to target finer tourist spending market segments.
| Item Type: | Monograph (Working Paper) |
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| Publisher’s Statement: | Copyright, where appropriate, is held by the author. |
| ID number or DOI: | 09-06 |
| Keywords: | Working paper, quantile regression, least-squared regression, Hong Kong, tourist expenditures |
| Subjects: | H Social Sciences > HF Commerce |
| NAU Depositing Author Academic Status: | Faculty/Staff |
| Department/Unit: | The W.A. Franke College of Business |
| Date Deposited: | 17 Oct 2015 22:27 |
| URI: | http://openknowledge.nau.edu/id/eprint/1513 |
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