Research Article

Efficiency Comparison of Prediction Methods and Analysis of Factors Affecting Savings of People in the Central Region of Thailand

Table 1

Description of the twenty-six independent variables.

VariablesDescription

X 1Number of people gaining income from work
X 2Number of household members
X 3Number of household members who were not working
X 4Household expenses
X 5Household consumption expenditures
X 6Expenses for food, beverage, and household tobacco
X 7Total household income
X 8Pension and allowance
X 9Grants received from other people
X 10Elderly allowance and disabled person, other grants from government and organizations
X 11Income from renting rooms/land and other assets
X 12Deposit interest, bond, share, dividends, and other types of investments
X 13Other income such as lottery money, prize money, commission, and gambling money
X 14Household debt
X 15Sex: sex = 1 is female, sex = 0 is male
X 16Age of household leader
X 17Marital status: marital status = 1 is married, marital status = 0 is single
X 18-1Secondary school and high school education level = 1, other = 0
X 18-2Vocational, diploma, bachelor’s and master’s degree education level = 1, other = 0
X 19Number of household members under the age of 15
X 20Number of household members 60 years of age and over
X 21Number of disabled persons in the household
X 22Number of members entitled to claim medical expenses from government agencies/state enterprises
X 23Number of members who received health insurance card
X 24Number of members that have a card to certify the right of medical treatment
X 25Number of members receiving other types of benefits
X 26Number of members receiving subsistence allowances for the elderly

Note. The independent variables X15, X17, and X18 (X18-1, X18-2) are qualitative variables. The other variables are quantitative variables.