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MODELING HOUSEHOLD PARTICIPATION DECISIONS BETWEEN DOMESTIC AND INTERNATIONAL TRIPS BY SEMI-NONPARAMETRIC REGRESSIONS

机译:通过半非参数回归模拟家庭和国际旅行之间的居民参与决策

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摘要

Globalization has caused many countries to experience significant slowdown, thus, tourism development becomes the primary policy to stimulate the economy. Investigating the demand of leisure activities is necessary for the development of a tourism industry with sound policies. This research adopts demographic data to allocate the factors affecting participation decisions and utilizes semi-nonparametric (SNP) regressions to analyze household decision regarding domestic and international trips. By combining a parametric component with a nonparametric component, the SNP method increases the flexibility of participation decision models from relaxing distributional assumptions. The results of this study reveal that decision-making for both domestic and international trips is jointly determined. Various factors, including income, capital gain ratio, age and education, are decisive to trip types, indicating the market segmentation of tourism businesses. Moreover, SNP regression performs superior to the traditional bivariate probit model, suggesting that the model developed in this research can provide comprehensive results for policy implications.
机译:全球化使许多国家经历了显着的放缓,因此,旅游业发展成为刺激经济的主要政策。对休闲活动的需求进行调查对于发展具有健全政策的旅游业是必要的。这项研究采用人口统计数据来分配影响参与决策的因素,并利用半非参数(SNP)回归分析有关国内和国际旅行的家庭决策。通过将参数成分与非参数成分相结合,SNP方法可通过放松分布假设来提高参与决策模型的灵活性。这项研究的结果表明,国内和国际旅行的决策是共同决定的。收入,资本收益率,年龄和受教育程度等各种因素对旅行类型具有决定性作用,表明了旅游业务的市场细分。此外,SNP回归的性能优于传统的双变量概率模型,这表明本研究开发的模型可以为政策含义提供全面的结果。

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