Precautionary savings of agents with heterogeneous risk aversion

This article focuses on the estimation of the importance of the precautionary motive in the wealth accumulation decision. We use the micro data set of the De Nederlandsche Bank (DNB) Household Survey (DHS) (CentERdata, Tilburg University), a Dutch household survey containing information on wealth, a subjective measure of income uncertainty and subjective qualitative measures of risk aversion. We find that only a small share of wealth is accumulated for the precautionary motive by the Dutch households. This share of wealth is constant across assets with different degrees of liquidity. The economic downturn of the period 2008 to 2010 seems to affect risk attitudes and precautionary saving. Our findings also suggest that the more risk-averse individuals are those who hold less savings.     

The Effects of Wealth and Income on Subjective Well‐Being and Ill‐Being*

The accepted view among psychologists and, increasingly, economists is that household income has statistically significant but only small effects on measures of subjective well‐being. Income, however, is clearly an imperfect measure of the economic circumstances of households. Using data drawn from the 2002 wave of the Household, Income and Labour Dynamics in Australia (HILDA) Survey, this paper demonstrates that wealth, which can be viewed as providing a degree of economic security, is at least as important to well‐being and ill‐being as income.     

The surprisingly low importance of income uncertainty for precaution

While it is common to use income uncertainty to explain household saving decisions, there is much disagreement about the importance of precautionary saving. This paper suggests that income uncertainty is not an important motive for saving, although households do have other precautionary reasons to save. Using a question from the Survey of Consumer Finances that asks how much households want for precautionary purposes, this paper shows that expressed household preferences, and liquid savings, are much lower than predicted by standard modeling assumptions. Households rarely list unemployment as a reason to save. Perceived income uncertainty does not affect liquid savings or precautionary preferences. Neither does being in an occupation with higher income volatility. Instead, households seem very concerned with expenditure shocks.     

The Gender Wealth Gap Across European Countries

This paper studies the gap in wealth between male and female single households using 2010 Household Finance and Consumption Survey data for eight European countries. In the raw data, a large gap emerges at the upper end of the unconditional distribution. While OLS estimates show no difference in average net wealth levels, quantile regressions at the 95th percentile yield mixed evidence for the gender wealth gap in different specifications. Labour market characteristics and participation in asset and debt categories largely explain the differences between male and female single households. The gender gap in net wealth is driven by gaps in gross wealth and its components, but is attenuated in four countries by gender gaps in (collateralized) debt. In the full specification, the unexplained gap in gross wealth amounts to 27 percent in Slovakia, 33 percent in France, 44 percent in Austria, 45 percent in Germany, and 48 percent in Greece.     

Distributional consequences of asset price inflation in the Euro Area

We study the distributional consequences of housing price, bond price and equity price increases for Euro Area households using data from the Household Finance and Consumption Survey (HFCS). The capital gains from bond price and equity price increases turn out to be concentrated among relatively few households, while the median household strongly benefits from housing price increases. The capital gains from bond price increases (relative to household net wealth) do not correlate with household net wealth (or income). Bond price increases thus leave net wealth inequality largely unchanged. In contrast, equity price increases largely benefit the top end of the net wealth (and income) distribution, thus amplify net wealth inequality. Housing price increases display a hump shaped pattern over the net wealth distribution, with the poorest and richest households benefitting least, but there exists considerable heterogeneity across Euro Area countries. The ECB's OMT announcements over the summer of 2012 had quantitatively similar distributional implications as an unexpected loosening of the policy rate by about 175 basis points.     

Precautionary Saving,Financial Risk,and Portfolio Choice

Relying on a direct question about the desired amount of precautionary wealth from the 2002 wave of the Italian “Survey of Household Income and Wealth,” I assess the main determinants of the precautionary motive for saving, focusing on the role played by financial risk on households' saving decisions. Households that invest mainly in safe assets do not need to protect themselves against future and unexpected financial losses. Consequently, once we control for households' sources of risk beside financial ones, the amount of precautionary savings of a household investing exclusively in safe assets should be lower compared to households who detain a non‐negligible share of risky assets in their portfolio. Results show that, as expected, a strong and negative correlation exists between the desired amount of precautionary wealth and the ownership of a portfolio made exclusively of safe assets.     

Wage arrears uncertainty and precautionary saving in Russia1

Wage arrears are widespread in Russia, and are one of the main causes of uncertainty in the labour market. In this paper, we use the Russian Longitudinal Monitoring Survey over the period 1994–98 to construct a new and improved measure of household income risk, based on the uncertainty due to wage arrears. We then use this measure of uncertainty to test the precautionary saving hypothesis, according to which households save to self‐insure against risk. We find significant evidence of additional saving by those households whose head is more likely to suffer from wage arrears one year hence. This suggests the existence of a strong precautionary saving motive.     

Prudent consumers: New evidence from the Consumer Expenditure Survey

Using Consumer Expenditure Survey data from 1986 to recent years, this study examines whether or not the precautionary saving motive is an important force governing consumer behavior. A time series model is obtained by aggregating a log-linearized Euler equation across households, in which the cross-sectional variance of consumption growth represents income uncertainty. The test uses an alternative measure of consumption that excludes some problematic expenditure items from the conventional measure and finds strong evidence for the presence of the precautionary motive. This result is in sharp contrast with the findings of previous cross-sectional estimations using the same data set. It is argued that cross-sectional estimations may be seriously affected by measurement errors whereas the current estimation is not.     

HOUSEHOLD SAVING AND PORTFOLIO CHANGE: EVIDENCE FROM THE 1983–89 SCF PANEL

There are few sources of high-quality data on the dynamics of wealth accumulation. This paper uses newly available data from the 1983 89 panel of the Survey of Consumer Finances to examine household saving and portfolio change over the 1980s. Our main findings are as follows. First, median household wealth rose modestly over the period. Second, while overall wealth inequality increased, households in the top 1 percent of the wealth distribution in 1983 saw their share of total wealth decline, probably reflecting turnover among the very wealthy. Third, although age, income, and initial wealth had significant effects in regressions on household saving, a large part of the variation in saving was unexplained. Finally, there were clear life-cycle patterns in the portfolios of assets and liabilities held by households, with younger households acquiring homes, businesses and all types of debts, and older households divesting themselves of these assets and debts.     

Supply management and household poverty in Canada

The regulation of the Canadian dairy and poultry industries through production quotas (also known as supply management) is widely believed to result in higher consumer prices that disproportionately impact poorer households. Using the most recent Survey of Labour and Income Dynamics (Statistics Canada 2013), we estimate the number of Canadians pushed below the poverty/low-income threshold as a result of this policy as ranging between 133,000 and 189,000 individuals.     

Can entrepreneurship bring happiness? Evidence from China

This paper investigates the relationship between entrepreneurial activities and the happiness of entrepreneurs. We estimate the effects of entrepreneurial decision-making, business experience and other factors on happiness by using China Household Finance Survey data. Our results derived from maximum likelihood estimation methods indicate that entrepreneurial decision-making and entrepreneurial experience affect household happiness significantly. The family well-being is significantly increased if the family is entrepreneurial, and it will be higher if actively entrepreneurial. Both entrepreneurial experience and entrepreneurial investment of time have significantly positive effect on the probability of family well-being. In addition, we find that the mechanism by which entrepreneurship brings happiness to households is through raising household income and wealth, that is, income effects and wealth effects.     

New estimates of labour supply elasticities for married women in Canada 1996–2005

In this article, we estimate income and substitution labour supply and participation elasticities for Canadian married women using data from the Survey of Labour and Income Dynamics 1996–2005. We use the Canadian Tax and Credit Simulator (CTaCS) and detailed information on the structure of income at the household level to compute the marginal tax rates faced by each individual. We then use these marginal tax rates to compute net own-wage, spouse-wage, and nonlabour income. We show how the magnitude of the estimated elasticities varies depending on whether net or gross wages and income are used in the estimation procedure, and quantify biases caused by using average tax rates instead of marginal tax rates. Finally, because marginal tax rates vary significantly over the sample, we use quantile regressions to compare elasticities at different points of the hours distribution. Overall, our results show that public policies now have, on average, less scope for influencing hours of work than 10 years ago. However, the quantile results show that wives working fewer hours per week are more sensitive to changes in their own or spouses’ wages.     

HOW CERTAIN ARE DUTCH HOUSEHOLDS ABOUT FUTURE INCOME? AN EMPIRICAL ANALYSIS

The precautionary saving literature shows that income uncertainty increases savings and wealth. To estimate the magnitude of this effect, we need a measure of income uncertainty. This paper empirically analyzes subjective income uncertainty in The Netherlands. Data come from a large Dutch household survey. We measure income uncertainty by asking questions on expected household income in the next twelve months. First, we describe the data and investigate the relationship between the measure of income uncertainty and a number of household characteristics. Controlling for information on expected income changes, we find strong relationships between labor-market characteristics and the subjective income uncertainty as reported by the heads of the households. Second, we compare income uncertainty in The Netherlands with income uncertainty in the U.S. and Italy. It becomes evident that perceived income uncertainty is smaller in The Netherlands than it is in the U.S.     

Do the Rich Save More? Evidence from Canada

This paper provides new evidence on the long‐standing question of whether more affluent households save a larger fraction of their income. The major difficulty in empirically assessing the relationship between incomes and saving rates is to construct a credible proxy for long‐run income—purged of transitory fluctuations and measurement error. The Canadian Family Expenditure Survey provides us with both unusually good data on savings rates and potential predictors with which we can construct reliable long‐run income proxies. Our empirical analysis suggests that the estimated relationship between saving rates and long‐run incomes is sensitive to the predictor used to proxy long‐run income. Nevertheless, our preferred estimates indicate that, except for poorest households (who simply do not save), saving rates do not differ substantially across predicted long‐run income groups.     

The Structure and Distribution of Household Wealth in Australia

This article uses data from the second wave of the Household, Income and Labour Dynamics in Australia (or HILDA) Survey to provide an overview of the structure and distribution of household wealth in Australia. The data confirm that wealth is very unequally distributed, with the bottom half of the distribution owning less than 10 per cent of total household net worth, while the wealthiest 10 per cent account for 45 per cent. The article also includes an analysis of the factors associated with household wealth that indicates that wealth is significantly related to a range of factors including age, country of birth, parental occupational status, education, marital status, working hours, income, self‐reported savings behaviour, a willingness to take risks and even various lifestyle behaviours, such as smoking and alcohol consumption.     

Contributions of Longitudinal Data to Poverty Measurement in Australia*

Chronic poverty is of greater social consequence than transitory poverty but its measurement requires longitudinal data. This article uses six waves of data from the Household, Income and Labour Dynamics in Australia Survey to explore the extent to which longitudinal data contribute to what is known about poverty from cross‐section data. We find an imperfect correspondence between people’s annual poverty status and chronic poverty status. Consequently, policies that aim to reduce chronic poverty using means‐tested benefits may be partially misdirected if beneficiaries are identified using annual income. Furthermore, some households experiencing chronic poverty may fall through the safety net.     

MEASURING WEALTH WITH SURVEY DATA: AN EVALUATION OF THE 1983 SURVEY OF CONSUMER FINANCES

Because wealth estimates from survey data have usually fallen substantially short of independent aggregate estimates, survey data have not been seen as adequate for assessing questions dependent on a good representation of the entire distribution of wealth, such as estimates of wealth concentration. The 1983 Survey of Consumer Finances (SCF), which contains a supplementary sample of very high income households drawn from a tax-file sample frame, is the first U.S. survey since the 1963 Survey of Financial Characteristics of Consumers that offers hope of accurately measuring the entire wealth distribution. In this paper, we discuss the design of the survey, the critical issue of proper weighting to merge the supplementary sample with an area probability sample, and the role of imputation. We show that the use of ordinary area probability samples alone leads to probable bias in the measurement of highly concentrated assets such as stocks and bonds. We compare the SCF data with aggregates derived from the flow-of-funds accounts of the Federal Reserve Board. While methodological issues cloud exact comparisons, it appears overall that the SCF estimates are at least as credible as other aggregate measurements. Finally, we use the data to assess the change in concentration of wealth from 1963 to 1983. We estimate that the concentration of wealth in terms of households did not change significantly over this period.