MEASUREMENT OF THE DISTRIBUTION OF WEALTH IN CANADA

The only periodic data available in Canada on the asset holdings and net worth of the household sector are data collected through a series of household surveys originally initiated in 1954. Some limited data on the holdings of financial claims by the personal and unincorporated business sector are available from flow of funds work. Data are unavailable for estimation from estate tax returns.
The scope of the surveys has been expanded substantially so that the most recent survey obtained a very comprehensive list of asset holdings. The experience with Canadian surveys has been similar to that of other countries; surveys appear to underestimate asset holdings although the estimates are more reliable for widely held assets than for assets with a very skewed distribution. Nevertheless, the surveys appear to trace the accumulated distribution of personal savings over time to a considerable degree and provide useful cross-sectional trend data.
Canadian data show that wealth is more unequally distributed among family units than is income although wealth appears to be more equally distributed between income groups than is income. Wealth is also very unequally distributed within the same income group. Over time, there appears to have been some movement towards a more equal distribution of asset holdings between income groups.     

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.     

U.S. INCOME, SAVING, AND WEALTH, 1929—1969

The objective of this paper is to present income and expenditure accounts, accumulation accounts, and the asset side of the wealth accounts for the U.S. private national economy in current and constant prices. These accounts are integrated with the production and factor outlay accounts for the U.S. private domestic economy in current and constant prices given in our earlier papers. Taken together, these accounts constitute a complete accounting system in current and constant prices for the private sector of the U.S. economy.
Our complete accounting system incorporates a new concept of the standard of living, defined as the ratio of the quantity index of gross private national expenditures to the quantity index of gross private national consumer receipts. Our concept of the standard of living is similar but not identical to our concept of total factor productivity. Changes in the private standard of living reflect both changes in total factor productivity and changes in the proportion of the total product consumed in the public sector.     

ESTIMATES OF HOUSEHOLD SECTOR WEALTH FOR SOUTH AFRICA, 1970–2003

Market values of components of household sector wealth are important explanatory variables for aggregate consumer expenditure and household debt in macro-econometric models. We construct the first coherent set of the main elements of household-sector balance sheet estimates at market value for South Africa. Our quarterly estimates derive from published data on financial flows, and other capital market data, often at book value. Our methods rely, where relevant, on accumulating flow of funds data using appropriate benchmarks, and, where necessary, converting book to market values using appropriate asset price indices. Relating asset to income ratios for various asset classes to asset price movements and other features of the economic environment, throws light on the changing composition of household sector wealth. Most striking are the relative rise in the value of pension wealth and the trend decline of directly held securities, the decline and recent recovery of housing wealth, and the rise in household debt and concomitant decline of liquid assets from the early 1980s to the late 1990s.     

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.     

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 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.     

SURVEY OF COUNTRY PRACTICES IN COMPILING BALANCE-SHEET STATISTICS

From a survey of the 150 members of the United Nations it appears that only one country could at present provide the full range of balance-sheet statistics called for in the United Nations guidelines on this topic. Seven countries could compile balance sheets confined to conventional types of assets and liabilities–excluding assets like consumer durables and mineral deposits. A further 31 countries presently publish some statistics on certain balance sheet items, but as the data have generally not been collected with a view to constructing national balance sheets they tend to be deficient for such purposes both in coverage and valuation. In other countries only rather trivial kinds of balance-sheet data are available, such as certain banking statistics collected by the central monetary authority for purposes of bank regulation.
A review of sources and methods shows that for financial assets and liabilities extensive use is made of company accounts and enterprise surveys. The estate multiplier method is used in several countries for measuring household assets and net worth. As regards producers' fixed assets, countries with centrally-planned economies generally take direct surveys of assets, while in countries with market economies the perpetual inventory method is preferred.
It is noted that many of the purposes for which balance-sheet statistics are used can be adequately served without constructing a complete set of accounts. To date balance-sheet statistics have therefore tended to be developed in a piecemeal fashion with priority going to those parts of the accounts whose uses for economic analysis are most obvious. Chief among these are statistics on the financial assets and liabilities of corporate enterprises and statistics on the stock of producers' fixed assets. These two areas also predominate in countries' plans for the future development of balance-sheet statistics.     

THE SIZE DISTRIBUTION OF HOUSEHOLD DISPOSABLE WEALTH IN THE UNITED STATES

In this study, new estimates are presented of the size distribution of household wealth in the U.S. in 1969. Compared to previous studies, its major advance is the inclusion of all marketable or discretionary household assets and liabilities and their alignment with national balance sheet totals. Household disposable wealth (HDW) is defined as the sum of all marketable or fungible assets held by households less liabilities. The Gini coefficient for HDW is 0.72, the share held by the richest one percent of households is 31 percent, and the share held by the top five percent is 49 percent. There is, however, a large variation in the concentration of different household assets. The Gini coefficient is 0.30 for household durables and inventories, 0.69 for equity in owner-occupied housing, 0.94 for bonds and securities, and 0.98 for corporate stock. HDW is then divided into two mutually exclusive components. The first, called "life-cycle wealth," is defined as the sum of equity in owner-occupied housing, durables, household inventory, demand deposits and currency, and the cash value of life insurance and pensions less consumer debt. This form of wealth tends to be accumulated over the life-cycle for either consumption, liquidity, or retirement purposes. The second, called "capital wealth," is the sum of time and savings deposits, bonds and securities, corporate stock, business and investment real estate equity, and trust fund equity. Life-cycle wealth is substantially less concentrated than capital wealth. The Gini coefficient for it is 0.59, while that for capital wealth is 0.88. Moreover, among the lower wealth groups, over 80 percent of household wealth takes the form of life-cycle wealth, whereas among the top wealth groups the proportion is under 20 percent. The results suggest substantially different savings motivations between the two groups.     

THE SIZE DISTRIBUTION OF PERSONAL WEALTH IN FRANCE (1977): A FIRST ATTEMPT AT THE ESTATE DUTY METHOD

This paper reports upon the first official application of the estate multiplier method of estimating the wealth distribution to French data. It is based upon a sample of estate duty returns filed during the period September-December 1977. The sampling rate was 5 percent for estates under one million francs, and 100 percent for estates over this level, giving a total of 5031 records. The data available did not permit a breakdown by type of asset. It did, however, permit classification of estates by age, sex, and occupation of decedent. Experiments were conducted using five different sets of mortality multipliers. The set of mortality multipliers judged most appropriate leads to an estimate of aggregate net wealth that is 77 percent of that given in the national balance sheet of the national accounts. Comparison of the distributions of wealth derived in these estimates suggest that the figures are consistent with those found in other countries.     

CONSTANT WEALTH NATIONAL INCOME: ACCOUNTING FOR WAR DAMAGE WITH AN APPLICATION TO THE NETHERLANDS, 1940–45

The issue of the proper way to address and document crisis and disaster in the national accounts is brought into focus by analyzing a practical case: the damage caused by the Second World War as discussed at a 1945 Paris reparations conference. It is concluded that "what if" damage e.g. output not produced due to the war should not be included in the national accounts, but factual damage should. The method by which factual damage should be included must then be decided. The option of just showing the damage in the reconciliation accounts is rejected. Instead the introduction of an additional income concept into the accounts, constant wealth national income is proposed. This Hicksian concept deducts from standard national income the damage to all produced goods lasting longer than a year. The concept is illustrated with guesstimates for the Netherlands, 1940–45. Finally, by way of an illustration, the paper employs 1945 estimates of damage in the Netherlands in order to arrive at a constant wealth national income for 1940–45. It is shown that, in 1938 prices, constant wealth national income is very much lower than standard national income and thus far better reflects the decline in prosperity during these years.     

BUFFER-STOCK SAVING AND HOUSEHOLDS' RESPONSE TO INCOME SHOCKS

We exploit information on the joint dynamics of household labor income, consumption, and wealth in the Italian Survey of Household Income and Wealth to structurally estimate a buffer-stock saving model. We compare the degree of consumption smoothing implied by the model to the corresponding empirical estimates based on the same data set. We estimate that Italian households smooth 12% of permanent income shocks in the data that is comparable to the model counterpart of 11% . This result contrasts with existing evidence, and our own findings in this article, of substantially more consumption smoothing in U.S. data.     

THE ACCOUNTING TREATMENT OF HUMAN INVESTMENT AND CAPITAL

Defining investment as outlays that increase income- and output-producing capacity, the author presents estimates of human investment in the United States 1929–69, comprising rearing costs, education, training, health, safety and mobility outlays. He develops an economic accounting framework to accommodate human investments and research and development in national and sector capital accounts, with appropriate adjustments to the current accounts to provide consistency. The associated balance sheets and wealth statements are also developed.
The wealth and corresponding income estimates are used to compute rates of return on human, non-human, and total capital. In the business economy the average net rate of return on total capital was 10.6 percent in 1969, compared with 10.0 percent in 1929. The average and marginal rates of return on human capital were generally somewhat higher than on non-human capital throughout the period.     

INEQUALITY AND MOBILITY OF WEALTH IN SWEDEN 1983/184–1992/193

Using longitudinal data which include real estate wealth, financial assets as well as consumer durables, changes in the distribution of wealth in Sweden are related to major changes in asset prices and in incentives to hold various assets in the 1980s and the beginning of the 1990s. Our analysis of the mobility of wealth indicates that decile mobility is higher in Sweden than in the U.S., while the analysis of who is gaining and who is loosing shows results similar to those of previous studies.     

Wealth,Natural Capital,and Sustainable Development: Contrasting Examples from Botswana and Namibia

Theoretical work has demonstrated that sustainable development requires non-declining per capita wealth, where wealth is defined to include produced, natural, human and social capital. Several studies have attempted to measure total national wealth or changes in wealth, but have been seriously hampered by a lack of data, especially for natural and human capital. To address this problem, the UN and other international statistical agencies developed a standardized framework for environmental accounts, the System of integrated Environmental and Economic Accounts (SEEA). Using the newly available asset accounts for natural capital, national wealth accounts are constructed and used to assess the contrasting development paths of Botswana and Namibia. Botswana, with an explicit policy of reinvestment of resource rents, has roughly tripled per capita wealth and national income over the past two decades. Namibia, with no explicit policy to use natural capita to build wealth, has seen per capita wealth and income decline.     

Taxation and household portfolio composition: US evidence from the 1980s and 1990s

This paper explores the relationship between household marginal income tax rates, the set of financial assets that households own, and the portfolio shares accounted for by each of these assets. It analyzes data from the 1983, 1989, 1992, 1995, and 1998 Surveys of Consumer Finances and develops a new algorithm for imputing federal marginal tax rates to households in these surveys. The empirical findings suggest that marginal tax rates have important effects on asset allocation decisions. The probability that a household owns tax-advantaged assets, such as tax-exempt bonds or assets held in tax-deferred accounts, is positively related to its tax rate on ordinary income. In addition, the portfolio share invested in corporate stock, which is taxed less heavily than interest bearing assets, is increasing in the household’s ordinary income tax rate. Holdings of heavily taxed assets, such as interest-bearing accounts, decline as a share of wealth as a household’s marginal tax rate increases.     

DEVELOPMENT OF ESTIMATES OF THE STOCK OF FIXED CAPITAL IN THE UNITED KINGDOM*

The historical background and present methodology used in compiling the U.K. official estimates of the stock of fixed capital are described. Mention is made of the possibility that with the development of commercial accounting direct estimates of capital stock may be derived from enterprise accounts at some future time. For the present, however, an indirect perpetual inventory approach is followed. Some of the deficiencies of the present estimates are discussed including the effects of possible biases in the life-length assumptions, price indices and the treatment of secondhand assets. Estimates of gross capital stock are given analysed by industry group of ownership and by type of asset. Some conceptual issues are discussed in relation to user requirements, including the distinction between the stock of capital and the flow of services from it. The authors conclude that little can be done to improve the perpetual inventory estimate of fixed capital in the U.K. without devoting more resources to the collection and analysis of new information, particularly on the service lives of fixed assets, the extent of leasing and the transfer of assets between industries.     

CAPITAL MAINTENANCE AND THE MEASUREMENT OF CORPORATE INCOME

This paper considers the impact upon measures of corporate income of a number of concepts of the maintenance of the existing capital of an incorporated trading enterprise. A main distinction is drawn between the maintenance of all the assets employed in trading and the maintenance of the net assets attributable to the owners. Measures of income and of rates of return to capital depend on whether all the assets, or only the net assets attributable to the owners, are being considered. There are three sections of the paper after an introduction. Section 2 is conceptual and section 3 illustrates the concepts, with figures for U.K. manufacturing industry in 1975 to 1977, in which the figures in company balance sheets are adjusted from book values to estimated replacement cost, and estimates are made of depreciation at replacement cost and of the consumption of stock (inventories) at replacement cost. These figures follow the concept of maintaining physical assests. I have added calculations which extend the concept of capital maintenance to all operating or trading assets, including monetary working capital; and which then calculate the amounts necessary to maintain the assets attributable to the owners of a business. The three main methods are: to apply a gearing adjustment to abate the additional capital maintenance provisions for operating assets (which are realized revaluations by reference to their original cost); to take into income additionally the geared (or debt financed) portion of unrealized revaluations; and-what is conceptually much the same thing-to count as the charge for debt only real interest (which may be negative) rather than nominal interest. Section 4 considers some problems of aggregation, particularly the derivation of aggregates for the sectors of the economy, when based on figures for individual enterprises using the various approaches to capital maintenance.     

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.     

Evolution of wealth inequality in China

Household wealth is a key indicator that reflects national economic competiveness and individual income levels. The distribution of wealth is central for evaluating social justice in a country. This article uses a data set composed of the 2002 China Household Income Project and the 2010 Chinese Family Panel Survey to analyze the level of wealth and wealth inequality in China during 2002 and 2010. The analysis decomposes the evolution of wealth inequality during that period in terms of the structure and composition of wealth. The findings show that there was a large increase in the quantity of wealth and wealth inequality between 2002 and 2010. The level of wealth in 2010 was four times that of 2002, and housing assets were the greatest component of overall wealth in 2010. Wealth inequality also rose dramatically after 2002, with the Gini coefficient of the distribution of wealth increasing from 0.538 in 2002 to 0.739 in 2010. The rapidly escalating price of housing has been the main contributor to increasing wealth inequality in recent years.