As Korea entered into the Ageing Society, this research performs a multi comparison between the age of old households and the economic structure according to their accommodation type as well as analyzing the economical structural difference of each ty...
As Korea entered into the Ageing Society, this research performs a multi comparison between the age of old households and the economic structure according to their accommodation type as well as analyzing the economical structural difference of each types based on the features of aged households. Thus, the paper classified the aged households into 3 groups according to their age distribution: initial-staged aged groups (60-64 years old), middle-staged aged groups (65-70 years old) and latter stage aged groups (over 70 years old). In addition, the different economical structure was analyzed using the 2004 Korean National Statistical Office raw data and aged households were classed into six major groups.
Through our research, the economic structure analysis according to the age of old households and accommodation type has shown as follow:
First, the economical structural analysis based on the age of old households shown a statistical difference in the total, labor, business, property and transfer income variables according to each aged sample groups.
Second, in the analysis of different economic earnings and expenses of initial and middle-staged aged households according to the age distribution group has shown a disparity in the total, labor, business, property and transfer income variables according to each aged sample groups.
Third, in the analysis of difference in the expense provision and size of consumption, there was a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture and entertainment, transportation, communication and other consumption expense variables.
Fourth, in the analysis of difference in the size of consumption expense, the initial and middle-staged aged households shown a statistical difference in the total consumption, food, dining out, electricity, water, furniture, kitchen supplies, clothing, shoe, education, culture and entertainment, transportation, communication and other consumption expense variables.