This study uses multinomial logistic regression analysis of a
nationally-representative database of US consumers’ vacationing to
better understand the relative effects on vacationing behavior of economic
variables (such as annual income and liquid assets), when compared to age-group
effects. In this extensive research, the effects of the economic variables
dominated the effects of the age-group variable. When considering possible
differences across age-groups, in-depth analysis using five age-groups disclosed
uniformity across three age groups covering a 40-year age range from 35 to 75
years. Notably, this age range included the Baby Boomers, as well as two groups
of Seniors. These results suggest that vacation researchers should be careful to
not use the ‘Senior’ classification too loosely. Seniors
under the age of 75 manifest vacationing behaviors in a way similar to Baby
Boomers aged 35-55. These younger Seniors manifest much different vacationing
behavior compared to Seniors aged 75 and older.