Consumption Patterns Among the Young‐Old and Old‐Old

Abstract

Data on 2,810 elderly households were drawn from the Bureau of Labor Statistics 1990 Consumer Expenditure Survey. Multivariate Tobit analysis was used to examine spending pattern differences between households with a reference person aged 65–74 (young‐old) and households with a reference person aged 75 and older (old‐old). Significant differences in spending were found for expenditures on food at home, food away from home, alcohol and tobacco, housing, apparel and apparel services, transportation, bealthcare, bentertainment, personal care, and personal insurance. The impact of socio‐demographic factors on expenditures by either age group was not uniform.

Residential Mobility of Older Adults in the Dutch Housing Market: Do Individual Characteristics and Housing Attributes Have an Effect on Mobility?

“…Since the mid-1980s, 'the real-estate market for older adults' has been referred to by many terms including 'senior welfare industry', 'senior industry', 'mature market', and 'senior citizen market ' (see e�g� lazer, 1986; greco, 1987)� in addition to a plurality of terms, defining of the older adults market has also resulted in various age cut-offs (Kim et al�, 2003)� Some define 'older adults' as people over 65 years of age; others have taken a broader approach and included people as young as 55 years (axelson and Penfield, 1983;Moehrle, 1990;Schwenk, 1995)� in addition to that, several age groups have been used (see harrison, 1986;Täuber, 1983;abdel-ghany and Sharpe, 1997)� This discrepancy in the different definitions of the term 'older adults' may make generalised data difficult to interpret� in general, a lower limit of 55 years of age is accepted when defining the 'older adults market' (Shoemaker, 2000)� in this paper the older adults market is defined as 'people of 55 years of age and older who are consumers of housing products and (social support/health care) services for older adults'� The residential mobility of this population group is analysed by using data from the housing research netherlands (hrn) 2009 survey� This survey is set up to provide more insight in the developments occurring on the dutch housing market, and is carried out every three years by the Ministry of internal affairs� The hrn data are based on a large cross sectional survey in which information is gathered about the housing situation of people living in the netherlands� Besides information about the housing situation the survey also contains socio-demographic and socio-economic information, as well as information about the mobility (intentions) and housing preferences� The research population is representative of the dutch population aged 18 years and older, who are not living in an institution� The hrn dataset of 2009 includes 78,071 observations, of which 29,129 persons are aged 55 years or older�…”

Mature market segmentation: a comparison of artificial neural networks and traditional methods

“…Thus, following the criteria established by other authors (e.g., [1,46]), the mature market in Spain is made up of consumers who are 65 or over. This age is also most commonly used in the literature as shown in the literature review by Tongren [57], where in 29 out of 67 studies, this cut off age appears.…”

Understanding Taiwan Seniors’ Motivation to Consume Food-Away-From-Home

“…Not all researchers define seniors in the same way. Some consider 55 years old or older as a senior group (Fleischer & Pizam, 2002;Hong, Kim, & Lee, 1999), whereas others see those 65 years old or older as seniors (Abdel-Ghany & Sharpe, 1997). The convenience samples were the community dwelling elderly living in Taichung.…”