Emergency finance in Australian households: An empirical analysis of capacity and sources. Discussion paper No 163

This paper examines demographic and socioeconomic characteristics as predictors of emergency finance in Australian households. The data is drawn from the most recent Household Expenditure Survey Confidentialised Unit Record Files (CURF) and relate to 6,892 probability-weighted households. Emergency finance is defined in terms of the ability to raise $2,000 within one week and its potential sources include own savings and loans from deposit-taking institutions, finance companies, credit cards, family and friends and welfare or community organisations. Characteristics examined included family structure and composition, source and level of household income, age, sex and marital status, ethnic background and housing value. Binary logistic models are used to identify the source and magnitude of factors associated with the ability to raise emergency finance and the likelihood of choosing each method of raising finance. The results indicate that the presence of children, the number of dependents and income-earning units, the age, sex and ethnicity of the household head, dependency upon government pensions and benefits, homeownership and disposable income are significant determinants of the capacity to raise emergency finance. However, the demographic and socioeconomic factors examined are generally better at predicting mainstay sources of finance such as own savings and loans from deposit-taking institutions and credit card usage than loans from family and friends and welfare or community organisations.

[1]  Peter Lunt,et al.  Predicting personal debt and debt repayment: Psychological, social and economic determinants. , 1992 .

[2]  Tahira K. Hira,et al.  Credit card usage and consumer debt burden of households , 1992 .

[3]  L. Klein,et al.  A History of Macroeconomic Modelling , 1992 .

[4]  Thomas F. Cooley,et al.  Tax Distortions in a Neoclassical Monetary Economy , 1992 .

[5]  S. Lea,et al.  The economic psychology of consumer debt , 1993 .

[6]  Sherman D. Hanna,et al.  The effect of marital status, income, age and other variables on insolvency in the U.S.A. , 1994 .

[7]  C. Meeks,et al.  Effects of Low Income Families' Ability and Willingness to Use consumer Credit on Subsequent Outstanding Credit Balances , 1994 .

[8]  Ruth H. Lytton,et al.  Household insolvency: A review of household debt repayment, delinquency, and bankruptcy , 1995 .

[9]  Paul A. Webley,et al.  Psychological factors in consumer debt: Money management, economic socialization, and credit use , 1995 .

[10]  Sandra J. Huston,et al.  Patterns of Adequate Household Emergency Fund Holdings: A Comparison of Households in 1983 and 1986 , 1995 .

[11]  C. Walker Financial management, coping and debt in households under financial strain , 1996 .

[12]  Sherman D. Hanna,et al.  Emergency Fund Levels: Is Household Behavior Rational? , 1997 .

[13]  S. Huston,et al.  Adequate Emergency Fund Holdings And Household Type , 1997 .

[14]  Ian Domowitz,et al.  Determinants of the Consumer Bankruptcy Decision , 1997 .

[15]  David C. Ling,et al.  Evidence on the Demand for Mortgage Debt by Owner-Occupants , 1998 .

[16]  Natalie Chieffe,et al.  An integrated model for financial planning , 1999 .

[17]  Charles B. Hatcher Should Households Establish Emergency Funds , 2000 .

[18]  Mark P. Taylor,et al.  My Home Was My Castle: Evictions and Repossessions in Britain , 2000 .

[19]  Dean M. Maki The Growth of Consumer Credit and the Household Debt Service Burden , 2000 .

[20]  J. Crook The demand for household debt in the USA: evidence from the 1995 Survey of Consumer Finance , 2001 .

[21]  A. Layton,et al.  The Regional Appropriateness of Monetary Policy: An Application of Taylor’s Rule to Australian States and Territories: Discussion Paper No 115 , 2002 .

[22]  A. Worthington,et al.  Transmission of prices and price volatility in Australian electricity spot markets: A multivariate GARCH analysis: Discussion Paper No 114 , 2002 .

[23]  A. Worthington,et al.  Comovements among European equity sectors: Selected evidence from the consumer discretionary, consumer staples, financial, industrial and materials sectors , 2002 .

[24]  N. Subramaniam,et al.  Students’ Experience of The Honours’ Supervisory Relationship: A Preliminary Investigation: Discussion Paper No 113 , 2002 .

[25]  Output and Productivity Comparisons of the Wholesale and Retail Trade Sector: US and Australia, 1991 to 1999: Discussion Paper No. 125 , 2002 .

[26]  A. Valadkhani Identifying Australia’s High Employment Generating Industries , 2002 .

[27]  A. Worthington,et al.  Time-Varying Market, Interest Rate and Exchange Rate Risk in Australian Bank Portfolio Stock Returns: A Garch-M Approach: Discussion Paper No 112 , 2002 .

[28]  On Optimal Monetary Policy in a Liquidity Effect Model , 2002 .

[29]  A. Worthington,et al.  Risk, return and portfolio diversification in major painting markets: The application of conventional financial analysis to unconventional investments: Discussion paper No 148 , 2003 .

[30]  M. Drew,et al.  Retail Superannuation Management in Australia: Risk, Cost and Alpha , 2003 .

[31]  John A. Anderson A Test of Weak-Form Market Efficiency in Australian Bank Bill Futures Calendar Spreads , 2003 .

[32]  A single-period model and some empirical evidences for optimal asset allocation with value-at-risk constraints , 2003 .

[33]  Steven Li A valuation model for firms with stochastic earnings , 2003 .

[34]  Marc Robinson THE OUTPUT CONCEPT AND PUBLIC SECTOR SERVICES , 2003 .

[35]  T. Naughton,et al.  ASSET PRICING IN CHINA: EVIDENCE FROM THE SHANGHAI STOCK EXCHANGE , 2003 .

[36]  A. Worthington,et al.  A multivariate GARCH analysis of the domestic transmission of energy commodity prices and volatility: A comparison of the peak and off-peak periods in the Australian electricity spot market Discussion Paper No. 140 , 2003 .

[37]  A. Worthington,et al.  Business expectations and preferences regarding the introduction of daylight saving in Queensland: Discussion Paper No. 145 , 2004 .

[38]  S. McCarthy Hedging versus not hedging: strategies for managing foreign exchange transaction exposure, Discussion Paper No 162 , 2003 .

[39]  S. Nickell House Prices, Household Debt and Monetary Policy , 2005 .

[40]  Shakila Aruman The Effectiveness of Foreign Exchange Intervention in Australia: A Factor Model Approach with GARCH Specifications. Discussion Paper No 135 , 2003 .

[41]  Quantifying the Effect of GST on Inflation in Australia’s Capital Cities: An Intervention Analysis: Discussion Paper No 153 , 2003 .

[42]  Superannuation Funds: The Fees and Performance Debate , 2003 .

[43]  Abbas Valadkhani,et al.  Measuring the impact of natural disasters on capital markets: an empirical application using intervention analysis , 2003 .

[44]  Radhika Lahiri A Further Exploration of Some Computational Issues in Equilibrium Business Cycle Theory: Discussion Paper No. 136 , 2003 .

[45]  A. Worthington,et al.  Modelling the Intraday Return Volatility Process In The Australian Equity Market: An Examination Of The Role Of Information Arrival In S&P/Asx 50 Stocks. Discussion Paper No. 150 , 2003 .

[46]  A. Worthington,et al.  Socioeconoic and demographic determinants of household gambling in Australia. Discussion Paper No. 156 , 2003 .

[47]  I. Macfarlane Do Australian Households Borrow Too Much , 2003 .

[48]  T. Naughton,et al.  Is idiosyncratic volatility priced?: Evidence from the Shanghai Stock Exchange , 2003 .

[49]  Mohammad Alauddin,et al.  Demand for M2 in Developing Countries: An Empirical Panel Investigation: Discussion Paper No. 149 , 2003 .

[50]  Allan P. Layton,et al.  DURATION DEPENDENCE IN THE US BUSINESS CYCLE , 2003 .

[51]  Long and Short-Run Determinants of Money Demand in New Zealand: Evidence from Cointegration Analysis , 2003 .

[52]  Abbas Valadkhani,et al.  An Empirical Analysis of the Black Market Exchange Rate in Iran , 2005 .

[53]  Andrew C. Worthington,et al.  Weak-form market efficiency in European emerging and developed stock markets , 2003 .

[54]  The estimation of implied volatility from the Black-Scholes model: some new formulas and their applications , 2003 .

[55]  Andrew C. Worthington,et al.  Motor Vehicle Usage Patterns In Australia: A Comparative Analysis Of Driver, Vehicle and Purpose Characteristics For Household and Freight Travel , 2003 .

[56]  Andrew C. Worthington,et al.  Losing sleep at the market: An empirical note on the daylight saving anomaly in Australia: Discussion Paper No. 146 , 2003 .

[57]  Boon L. Lee Interstate Comparison of Output and Productivity in the Australian Agricultural Sector, 1991 to 1999, Discussion Paper No 161 , 2003 .

[58]  Marc Robinson Tightening the Results/Funding Link in Performance Budgeting Systems , 2003 .

[59]  Andrew C. Worthington,et al.  Tests of random walks and market efficiency in Latin American stock markets: An empirical note. Discussion Paper No. 157 , 2003 .

[60]  Optimal f and Portfolio Return Optimisation in US Futures Markets: Discussion Paper No. 133 , 2003 .

[61]  A. Worthington,et al.  The relationship between energy spot and futures prices: Evidence from the Australian electricity market , 2004 .

[62]  A. Worthington,et al.  Systematic features of high-frequency volatility in Australian electricity markets: Intraday patterns, information arrival and calendar effects , 2004 .

[63]  A. Worthington,et al.  Tests of the random walk hypothesis for Australian electricity spot prices: An application employing multiple variance ratio tests , 2004 .

[64]  A. Valadkhani Modelling Demand for Broad Money in Australia , 2005 .