THE DISTRIBUTION OF WEALTH IN CANADA

For estimates of the wealth distribution Canada depends on household surveys taken at 6–7 year intervals. The latest data from this source refer to household balance sheets in the spring of 1977. A comparison with 1970 shows that there is little change in the composition of wealth held by households but that inequality of the wealth distribution has been somewhat reduced. Wealth data by age of family head is presented in order to describe more fully the wealth distribution and composition in Canada.
Weaknesses in the data are discussed as well as the difficulties of making appropriate adjustments to the data at the micro record level. For policy evaluation and formulation purposes the lack of comprehensive estimates inclusive of pension wealth as well as the small sample size (12,700 usable records) have been perceived as greater obstacles to utilizing the data than the underestimate in aggregate assets and debts which affects more the higher than the middle and lower ranges of the wealth distribution.     

ON THE SIZE DISTRIBUTION OF WEALTH IN CANADA*

This paper is concerned with measurement of the size distribution of personal wealth in Canada. The only available estimates of this distribution are those provided on the occasions when Statistics Canada's Survey of Consumer Finance has surveyed assets and debts. Results of the latest “SCF” to do this, that of 1977, are not yet available. The paper shows that the previous study, conducted in 1970, indicated wealth-inequality as viewed by top quantile shares roughly of the same order as estimated by others for the U.S. and U.K. A comparison of asset and debt aggregates implied by the survey, however, with independent totals indicates that for almost all items the SCF likely under-estimated true holdings. The possible relative importance of sampling and non-sampling errors in explaining this distortion is considered, drawing on Monte Carlo evidence and American validation studies of survey response. It is concluded that sampling error is unlikely to provide the explanation for SCF discrepancies in aggregates, but that non-sampling error is capable of doing so. Finally the 1970 SCF distribution of wealth is re-estimated. First a correction is made for hypothetical differential response according to true net worth. Second an attempt is made to remove the effects of under-reporting by respondents. The “best-guess” re-estimated distribution exhibits mean net worth considerably greater than shown by the SCF but only a slightly greater degree of concentration. Under certain fundamental assumptions this result is surprisingly robust. The appropriate conclusion is not that survey estimates of the distribution of wealth are reliable, but that the strong non-sampling errors affecting the 1970 Canadian SCF wealth estimates may have been composed of almost completely offsetting sources of bias.     

DIFFERENCES IN THE MEASUREMENT OF WEALTH, WEALTH INEQUALITY AND WEALTH COMPOSITION OBTAINED FROM ALTERNATIVE U.S. WEALTH SURVEYS

Since household wealth surveys have been widely used to study saving and other issues, it is important to examine the reliability of the various survey estimates of wealth. In this paper the authors assess the quality characteristics of the National Longitudinal Survey of Mature Men and the Retirement History Survey, as compared to the 1983 Survey of Consumer Finances. We find that the NLS and especially the RHS underreport wealth and wealth concentration. The underestimates of wealth held in the form of common stock, business equity, and investment real estate equity are substantial. The principal problem lies in underrepresentation of both tails of the wealth and income distributions, with the consequences of underrepresenting the upper tail being especially serious for wealth measurement. We examine several potential reasons for the underrepresentation.     

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.     

The Gender Wealth Gap in Europe: Application of Machine Learning to Predict Individual-level Wealth

This article provides comparative estimates of the gender wealth gaps for 22 European countries, employing data from the Household Finance and Consumption Survey. The data on wealth are collected at the household level, while individual-level data are needed for the estimates of gender wealth gaps. We propose a novel approach using machine learning and model averaging methods to predict individual-level wealth data for multi-person households. Our results suggest that random forest performs best as the predicting tool for this exercise, outperforming elastic net and Bayesian model averaging. The estimated gender wealth gaps tend to be in favor of men, especially at the top of the wealth distribution. Men have 24 percent more wealth than women on average. We also find that a high home ownership rate is associated with a smaller country-level gender wealth gap. Our estimates suggest that the individual-level wealth inequality is on average 3 pp higher than the household-level wealth inequality in multi-member households.     

MEASUREMENT ERROR IN THE BANK OF ITALY'S SURVEY OF HOUSEHOLD INCOME AND WEALTH

This paper is aimed at evaluating the incidence of measurement error in the Bank of Italy's Survey of Household Income and Wealth (SHIW). In the case of time-invariant variables, we assess the degree of inconsistency of answers given by panel households in subsequent survey waves. For quantities that vary with time, we estimate the incidence of measurement error by decomposing observed variability into true dynamics and error-induced noise. We apply the Heise model or the latent Markov model, depending on whether the data are continuous or categorical. We also present regression models that explain the error-generating process. Our results are relevant to researchers who use SHIW data for economic analysis, but also to data producers involved in similar income and wealth surveys. The methods we describe and test can be employed in a number of contexts to gain better understanding of data-related problems and plans for survey improvement.     

中国城镇居民的财产分配

本文利用住户调查数据对 1 995年的中国城镇住户的财产分配状况进行了经验分析 ,包括对财产分配的差距进行了测量 ,影响财产分配的主要因素进行了估计 ,并将中国城镇住户的财产分配进行了国际比较。与大部分市场经济国家相比 ,中国城镇居民之间财产分配的差距并不大。但是中国城镇居民的财产分配差距超过了收入分配差距 ,而且从长期趋势上可能会出现加速扩大的势头。中国城镇居民之间财产分配的不均等并非全是经济市场化过程的结果。一些不均等的原因来自于传统计划经济遗留下来的分配模式。本文还发现 ,在户主一生中财产积累出现了两个高峰值。这是与正统的生命周期理论不同的。本文还表明了财产分配和收入分配之间的较强相关性。     

Pension wealth and household savings in Europe: Evidence from SHARELIFE

We use recently collected retrospective survey data to estimate the displacement effect of pension wealth on household savings. The third wave of the Survey of Health, Ageing and Retirement in Europe, SHARELIFE, collects information on the entire job history of the respondent, a feature missing in most previous studies. We show that addressing measurement error problems is crucial to estimate the displacement effect when using survey data. We find that each euro of pension wealth is associated with a 47 (61) cent decline in non-pension wealth using robust (median) regression. In the presence of biases from measurement errors and omitted (unobserved) variables, we estimate a lower bound to the true offset between 17% and 30%, significantly different from zero. Instrumental variables regression estimates, although less precise, suggest full displacement.     

ESTIMATES OF HOUSEHOLD WEALTH INEQUALITY IN THE U.S., 1962–1983

The study has two major objectives. The first is to determine time trends in household wealth inequality in the U.S. over the 1962–83 period. Four concepts of wealth are analyzed: (i) total household wealth, defined as total household assets less liabilities; (ii) fungible wealth, defined as total household wealth less consumer durables and household inventories; (iii) financial wealth, defined as fungible wealth less equity in owner-occupied housing; and (iv) capital wealth, defined as financial wealth less currency, checking accounts, and time deposits. Relying on a variety of data sources, I find that wealth inequality remained relatively constant from about 1962 to 1973, fell sharply from about 1973 to about 1979, and then rose sharply between 1979 and 1983. Concentration in 1983 was greater than that in 1962 for financial and capital wealth but of similar magnitude for total and fungible wealth. The second, methodological in nature, is to analyze the effect on measured inequality of the alignment of raw survey data to national balance sheet totals. I find that the alignment process can significantly affect point estimates of household wealth distribution but does not generally affect the direction of inequality trends.     

AN ESTIMATION OF U.S. FAMILY WEALTH AND ITS DISTRIBUTION FROM MICRODATA, 1973

This paper presents a method of estimating U.S. family net wealth across the entire population, utilizing capitalization of several income items available from income tax microdata. Other forms of wealth, and debt, are indirectly estimated using relationships gleaned from estate tax data. Concentration in the distribution of wealth, and assets such as corporate stock, are measured with Gini coefficients and Lorenz curve analysis and compared to similar estimates of concentration in the distribution of income. Comparisons of the results with previous estimates for the United States are made in the latter section of the paper.     

The Impact of Inheritance on the Distribution of Wealth: Evidence from Great Britain

Using the British Household Panel Survey, we investigate the role of inheritance in shaping the distribution of household wealth in Great Britain during 1995–2005a period characterized by a substantial increase in wealth and an equally important decrease in wealth inequality. Abstracting from behavioral effects, we find that inheritances received during this period accounted for 30 percent of the increase in wealth of inheritors. Regression estimates of the effect of inheritance on wealth accumulation suggest that households spend 30 percent of their inheritances on average, and that there is substantial heterogeneity in household responses. Households that accumulated more wealth saved a larger share of their inheritances, as did middle aged households and those with lower initial wealth. Although inheritances are highly unequal they had a small impact on overall wealth inequality. This mainly reflected the fact that their size relative to other sources of wealth was very small.     

Wealth inequality in Central and Eastern Europe: Evidence from household survey and rich lists’ data combined*

We study how the problem of the ‘missing rich’, the underrepresentation of the wealthiest in household surveys, affects wealth inequality estimates for the post‐socialist countries of Central and Eastern Europe (CEE). The survey data from the second wave of the Household Finance and Consumption Survey (HFCS) are joined with the data from the national rich lists for Estonia, Hungary, Latvia, Poland and Slovakia. Pareto distribution is fitted to the joined survey and rich lists’ data to impute the missing observations for the largest wealth values. We provide the first estimates of the top‐corrected wealth inequality for the CEE region in 2013/2014. Despite a short period of wealth accumulation during the post‐1989 market economy period, our adjustment procedure reveals that wealth inequality in the Baltic countries is comparable to that of Germany (one of the most wealth‐unequal countries in Europe), while in Poland and Hungary it has reached levels observed in France or Spain. We discuss possible explanations of these findings with reference to the speed and range of privatization processes, extent of income inequality, and the role of inheritances and wealth taxes in the region.     

Perceptions of inequality

Individual perceptions of (income or wealth) inequality have strong effects on their decisions as economic agents or voters. It is therefore important to know more about the relation between perceived and measured inequality. We present a novel formal framework that is based on the assumption that people typically do not observe the entire income (wealth) distribution and that their guesses about the extent of inequality are based on “self-centered” reference groups. This framework predicts that perceptions of inequality will change along positions in the income distribution and that for a specific position various dimensions of inequality perception are related to each other. First, low (high) income individuals overestimate (underestimate) their own position. Second, subjective estimates of average earnings increase with the own income position. Third, high or low income people have different perceptions about the skewness and the “shape” of the income distribution (e.g. pyramid or diamond). Fourth, the subjective perception of inequality is lower for high-income individuals. Survey data from 40 countries provide strong support for the framework.     

THE DISTRIBUTION OF WEALTH IN URBAN CHINA AND IN CHINA AS A WHOLE IN 1995

The composition, inequality and determinants of wealth among households in urban China in 1995 are studied. In addition, we compare the wealth distribution in urban China with the wealth distribution in rural China and present the first estimates of inequality in the distribution of household wealth in China as a whole. The results show that housing wealth makes up a large part of net worth in urban China. Most urban Chinese households keep a bank account; debts are unusual. A household's net worth is strongly related to its income and location. Net worth is more unequally distributed among urban households than among rural households. However, compared to the situation in most industrialized countries, net worth in urban China and in China as a whole appear to be rather equally distributed.     

Precautionary wealth accumulation: evidence from Canadian microdata

Abstract .  This paper estimates the effect of labour income uncertainty on wealth accumulation using two data sources. Wealth information is obtained from the master files of the new Canadian Survey of Financial Security 1999 (SFS). Labour income risk proxies are constucted by industry using the Canadian Survey of Labour and Income Dynamics (SLID) between 1996 and 2001. The empirical results suggest the presence of a strong precautionary saving motive among Canadian households for broad definitions of wealth. Furthermore, consistent with the buffer-stock-saving model, the level of precautionary funds significantly increases when households face liquidity constraints.     

EFFECT OF SURVEY CONDITIONS ON SELF-REPORTED SUBSTANCE USE

This paper examines the impact of survey conditions on the self-reported use of marijuana, cocaine, and alcohol in the 1984 and 1988 waves of the National Longitudinal Survey of Youth (NLSY). The analysis obtains probit estimates of lifetime and current participation rates and ordered probit estimates for the current frequency of use. The results clearly indicate that the manner in which the NLSY survey is administered significantly affects the self-reported substance use data. The presence of others at administration, self-administration, and data collection by telephone interview are particularly important influences .     

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.     

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.