Google Trend App Helped Determine Right Number of Bahamas Tourists

Caribbean News…
04 February 2020 5:26pm
Bahamas from the air and Google Trends logo

Combining Google Trends data with traditional forecast models improved accuracy of predicted tourist arrivals to the Bahamas from the U.S by about 30 percent, according to a working paper by International Monetary Fund (IMF) senior economist Serhan Cevik released last week.

“As tourism is the main engine of economic growth in the Bahamas, accurate forecasting of tourist arrivals is critical for informed decision-making by policy makers and businesses," Cevik wrote, adding that the findings, consistent with previous studies, indicate search data can aid real-time surveillance and sharpen forecasts. Search data can help the industry better plan and invest, he said.

According to information posted on the Live Mint website, improving estimates would help tourism-dependent economies like those across the Caribbean, where the industry employs millions and generates billions of dollars in exports, Cevik wrote.

The Bahamas is “extremely dependent on fast-growing tourism," which contributes about 48 percent of gross domestic product and 56 percent of employment, he said.

The study tracked Google queries from January 2004 to December 2018 for search terms including Bahamas in combination with words like travel, beach, hotels, resorts and flights.

Tourist arrivals to the Bahamas rose 9.8 percent over a decade to more than 6.5 million visits in 2018, with about four-fifths of those coming from the U.S. That already outsize role is poised to expand even further.

The World Travel and Tourism Council projects tourism’s share of GDP could reach 60 percent by 2030, and 70 percent of the workforce, according to the paper. That large footprint makes better forecasting all that much more critical for policy makers, Cevik said.

“While the tourism sector makes a significant contribution to the economy, it is also a major source of volatility due to greater exposure to external factors," Cevik wrote. “Therefore, improving the prediction of tourist arrivals is important for forecasting overall economic growth as well as for effective planning and budgeting by the government and the private sector."

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