Terrorism and wine tourism: The case of museum attendance
In this article, we use attendance data from La Cité du Vin, a wine museum in the city of
Bordeaux, to assess the impact of the recent wave of terror that affected France on wine
tourism. We use recent count regression estimation techniques suited for time series data to
build a prediction model of the demand for attendance at this museum. We conclude that the
institution lost about 5,000 visitors over 426 days, during which 14 successive terrorist
attacks took place. This corresponds to almost 1% of the total number of visitors in the …
Bordeaux, to assess the impact of the recent wave of terror that affected France on wine
tourism. We use recent count regression estimation techniques suited for time series data to
build a prediction model of the demand for attendance at this museum. We conclude that the
institution lost about 5,000 visitors over 426 days, during which 14 successive terrorist
attacks took place. This corresponds to almost 1% of the total number of visitors in the …
In this article, we use attendance data from La Cité du Vin, a wine museum in the city of Bordeaux, to assess the impact of the recent wave of terror that affected France on wine tourism. We use recent count regression estimation techniques suited for time series data to build a prediction model of the demand for attendance at this museum. We conclude that the institution lost about 5,000 visitors over 426 days, during which 14 successive terrorist attacks took place. This corresponds to almost 1% of the total number of visitors in the sample period. (JEL Classifications: L83, Z30)
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