利用支付数据和补充指标预报游客过夜情况的工具

IF 1.2 Q3 ECONOMICS Italian Economic Journal Pub Date : 2024-02-19 DOI:10.1007/s40797-024-00266-6

Marta Crispino, Vincenzo Mariani

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引用次数: 0

摘要

本文通过利用支付卡数据和谷歌搜索指数，提出了一种预测意大利游客过夜停留时间的策略。该策略适用于全国和地区的过夜游客人数，当时旅游流和支付习惯（COVID-19 大流行病）受到了意料之外的重大冲击。我们的研究结果表明，基于支付数据的指标对于预测全国和地区的游客量非常有参考价值。相反，谷歌搜索数据的预测能力较为有限。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Tool to Nowcast Tourist Overnight Stays with Payment Data and Complementary Indicators

This paper proposes a strategy for nowcasting tourist overnight stays in Italy by exploiting payment card data and Google Search indices. The strategy is applied to national and regional overnight stays at a time of a significant and unanticipated shock to tourism flows and payment habits (the COVID-19 pandemic). Our results show that indicators based on payment data are very informative for predicting tourist volumes, both at the national and at the regional level. Instead, the predictive power of Google Search data is more limited.

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来源期刊

Italian Economic Journal ECONOMICS-

CiteScore

2.30

自引率

8.30%

发文量

期刊介绍： Italian Economic Journal (ItEJ) is the official peer-reviewed journal of the Italian Economic Association. ItEJ publishes scientific articles in all areas of economics and economic policy, providing a scholarly, international forum for all methodological approaches and schools of thought. In particular, ItEJ aims at encouraging and disseminating high-quality research on the Italian and the European economy. To fulfill this aim, the journal welcomes applied, institutional and theoretical papers on relevant and timely issues concerning the European and Italian economic debate.ItEJ merges the Rivista Italiana degli Economisti (RIE), the journal founded by the Italian Economic Association in 1996, with the Giornale degli Economisti (GdE), founded in 1875 and enriched by contributions from renowned economists, including Amoroso, Black, Barone, De Viti de Marco, Edgeworth, Einaudi, Modigliani, Pantaleoni, Pareto, Slutsky, Tinbergen and Walras.