Research Article

Complexity between Aging and the Structure of Financial Market: Empirical Evidence from Microdata

Table 2

Summary statistics.

VariablesDefinitionMeanStd. dev.Min.Max.

Dependent variables
finance_assetTotal financial assets (RMB)34,627.420103,415.40004,240,000
cash_assetCash and deposits (RMB)27,130.86074,352.08002,000,000
prop_cashThe proportion of cash and deposits in total financial assets0.8810.27101
risk_assetTotal risk assets (RMB)3,360.52412,616.11003,000,000
prop_riskassetThe proportion of total risk assets in total financial assets0.0240.12101
whether_riskassetWhether investing in risk assets (yes = 1, no = 0)0.0450.20801
StockStocks (RMB)1,354.29417,095.01001,000,000
prop_stockThe proportion of stocks in total financial assets0.0100.07401
FundFunds (RMB)662.7927,020.8620200,000
prop_fundThe proportion of funds in total financial assets0.0070.06401
GovbondGovernment bonds (RMB)96.9103,196.0170200,000
prop_govbondThe proportion of government bonds in total financial assets0.0010.01200.5561
DerivativesDerivatives (RMB)265.8317,413.1880500,000
prop_derivativesThe proportion of derivatives in total financial assets0.0010.02101

Explanatory variables
percentage_60The percentage of family members age 60 years and older (%)21.61832.9640100
number_60The number of family members age 60 years and older0.6340.82004
whether_60Whether there are family members age 60 years and older (yes = 1, no = 0)0.4270.49501
percentage_65The percentage of family members age 65 years and older (%)14.64428.6490100
number_65The number of family members age 65 years and older0.4140.69204
whether_65Whether there are family members age 65 years and older (yes = 1, no = 0)0.3060.46101

Control variables of raising children
percentage_14The percentage of family members age 14 years and younger (%)14.08617.0620100
number_14The number of family members age 14 years and younger0.6670.87707
whether_14Whether there are family members age 14 years and younger (yes = 1, no = 0)0.4650.49901

Control variables of family characteristics
UrbanWhether the family is in urban areas (yes = 1, no = 0)0.4850.50001
number_workNumber of family members having job1.5331.19809
number_insurance_60Number of family members age 60 years and older having pension0.6151.01008
number_insurance_59Number of family members age 59 years and younger having pension0.5050.79106
ExpenseTotal expenses in last year (RMB)42,664.99033,661.2905,800127,800
other_assetAssets excluding financial assets and housing assets29,801.88043717.4000156,230
NetincomeNet income in previous year (RMB)37,794.01031,514.7402,000114,400
saving_rateSavings rate in previous year (%)−171.395658.152−4,113.33392.641
whether_houseHome ownership (yes = 1, no = 0)0.8870.31701
whether_ecoWhether family members have education in economics or management (yes = 1, no = 0)0.0440.20501
edu_headFamily head’s education level2.8461.36718
age_headFamily head’s age45.19016.6900102
whether_work_headWhether the family head has a job0.6830.46501
number_hospitalNumber of family members in hospital during in the previous year0.2410.49204
Year dummy variables and provincial dummy variables (omitted)

Note. Statistics of stocks, funds, government bonds, and derivatives are calculated using the 2012 wave datasets. Statistics of other variables are calculated using the datasets from the 2012 and 2014 waves.