Accounting for Cross‐Country Differences in Wealth Inequality

There is considerable cross‐country variation in levels of household wealth and in wealth inequality. This paper assesses the extent to which these differences can be accounted for by differences in the distributions of households' demographic and economic characteristics. A counterfactual decomposition analysis of micro data from five countries (Italy, U.K., U.S., Sweden and Finland) is used to identify the effects of characteristics on component wealth holdings, their value and their distribution. The findings of the paper suggest that the biggest share of cross‐country differences is not attributable to the distribution of household demographic and economic characteristics but rather reflect strong unexplained country effects.     

Measuring the Level and Inequality of Wealth: An Application to China

We construct and compare three distinct measures of household asset wealth that complement traditional income‐ or expenditure‐based measures of socioeconomic status. We apply these measures to longitudinal household survey data from China and demonstrate that household asset wealth has been increasing over time, a theme consistent with many previous studies on the process of development in China. Unlike other studies that have shown rising income inequality over time, however, we show that asset wealth inequality has actually been declining in recent years, indicating widespread participation in the benefits of economic reforms. Furthermore, the evolution in the cumulative distribution of household welfare is such that social welfare has been increasing with the passage of time, despite rising inequality in the early years of the survey.     

Viewpoint: Measuring the well‐being of the poor with income or consumption: a Canadian perspective

Abstract There is a long tradition of using consumption measures derived from Statistics Canada's household expenditures surveys to study material well‐being, inequality, and poverty. We offer an introduction to this research. Income and consumption measures give different pictures of the patterns of material well‐being in Canada, but the differences are not as large as in the US. We also provide a comparison to Meyer and Sullivan's results on data quality. Canadian expenditure surveys are of high quality. Unique aspects of these surveys (variation in quality control measures over time and the possibility of comparing to income tax data) provide important insights into the quality of survey data on income and consumption.     

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 Concentration over the Path of Development: Sweden, 1873–2006*

We study wealth concentration in Sweden over 130 years, from the beginning of industrialization until the present day. Our series are based on new evidence from estate and wealth tax data, foreign and domestic family firm‐wealth, and pension wealth estimates. We find that Swedish wealth concentration was high in the agrarian state, and changed little during early industrialization. From World War I until about 1950, the richest percentile lost ground to high‐income earners in the rest of the top‐wealth decile. This equalization continued postwar; the entire top decile lost‐out relative to the rest of the population. Around 1980, wealth compression stopped and inequality increased. We approximate the effects of international flows and find that the recent increase in wealth inequality is probably larger than what official estimates suggest.     

Wealth inequality and financial inclusion: Evidence from South African tax and survey records

Theoretical models show that financial inclusion reduces wealth inequality. Existing empirical models are restricted to estimates using income inequality because of a lack of cross country wealth inequality data. We used 2010-11 and 2014-5 waves of the National Income Dynamics Study combined with South African tax records to estimate wealth and income inequality. Using Re-centered Influence Function regressions on the micro-level records, we confirmed the negative cross-country relationship between financial inclusion and income inequality. Wealth inequality is different. Financial inclusion improved wealth shares of only the middle class. Because of predatory lending, expansion of credit reduced the wealth share of the poor. Improved savings by the middle class, providing better oversight over financial services targeted at the poor and removing impediments to the small business sector are pre-conditions for financial inclusion to reduce wealth inequality.     

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.     

Non‐Linear Pricing and Price Indexes: Evidence and Implications from Scanner Data

Non‐linear pricing, the fact that prices do not necessarily change in proportion to size, is a ubiquitous phenomenon. However, it has been neither particularly well understood nor well measured. Non‐linear pricing is of practical importance for statistical agencies who, in constructing price indexes, are often required to compare the relative price of a product‐variety of two different sizes. It is usually assumed that prices change one‐for‐one with package and pack size (e.g. a 1‐liter cola costs half as much as a 2‐liter bottle). We question the wisdom of such an assumption and outline a model to flexibly estimate the price‐size function. Applying our model to a large U.S. scanner dataset for carbonated beverages, at a disaggregated level, we find very significant discounts for larger‐sized products. This highlights the need to pursue methods such as those advocated in this paper.     

Linear efficient and symmetric values for TU-games: Sharing the joint gain of cooperation

Recently, Hermandez-Lamoneda et al. (2008) and independently Chameni and Andjiga (2008) gave an analytic formulation for all valued solutions to the n-person TU-games that satisfy linearity, efficiency and symmetry axioms. Our main purpose in this paper is to recast the proposed formulation to a more potentially interpretational one. We are focused on an interpretation based on the idea of marginal contribution, a concept already familiar in the Shapley value and the Solidarity value. A general null player axiom is introduced, and it turns out that any valued solution satisfying the three properties is characterized by a null player model.     

Testing for poverty dominance: an application to Canada

Abstract The paper proposes and applies statistical tests for poverty dominance that check for whether poverty comparisons can be made robustly over ranges of poverty lines and classes of poverty indices. This helps provide both normative and statistical confidence in establishing poverty rankings across distributions. The tests, which can take into account the complex sampling procedures that are typically used by statistical agencies to generate household‐level surveys, are implemented using the Canadian Survey of Labour and Income Dynamics (SLID) for 1996, 1999, and 2002. Although the yearly cumulative distribution functions cross at the lower tails of the distributions, the more recent years tend to dominate earlier years for a relatively wide range of poverty lines. Failing to take into account SLID’s sampling variability (as is sometimes done) can inflate significantly one’s confidence in ranking poverty. Taking into account SLID’s complex sampling design (as has not been done before) can also decrease substantially the range of poverty lines over which a poverty ranking can be inferred.     

Interpolating the Lorenz Curve: Methods to Preserve Shape and Remain Consistent with the Concentration Curves for Components

C¹‐class interpolation methods that preserve monotonicity and convexity and are thus suitable for the estimation of the Lorenz curve from grouped data are not widely known. Instead, parametric models are usually applied for such estimation. Parametric models, however, have difficulty in accurately approximating every part of income/expenditure distributions. This paper proposes two types of C¹‐class shape‐preserving interpolation methods. One is a piecewise rational polynomial interpolation (proposed independently by Stineman and Delbourgo) that enables consistent interpolation of the concentration curves for income/expenditure components, attaining approximately the same accuracy as that of the existing methods when applied to decile‐grouped data or to more detailed aggregation. Another is a Hybrid interpolation that employs pieces of curves derived from parametric models on end intervals. Empirical comparisons show that the Hybrid interpolation (with the assistance of parametric models for class‐boundary estimation) outperforms the existing methods even when applied to quintile‐grouped data without class boundaries.     

How Fat is the Top Tail of the Wealth Distribution?

Differential unit non‐response in household wealth surveys biases estimates of top tail wealth shares downward. Using Monte Carlo evidence, I show that adding only a few extreme observations to wealth surveys is sufficient to remove the downward bias. Combining extreme wealth observations from Forbes World's billionaires with the Survey of Consumer Finances, the Wealth and Assets Survey, and the Household Finance and Consumption Survey, I provide new improved estimates of top tail wealth in the United States, the United Kingdom, and nine euro area countries. These new estimates indicate significantly higher top wealth shares than those calculated from the wealth surveys alone.     

Technology and outsourcing: An explanation to the rising wage gap

The recent phenomenon of widening skilled–unskilled wage gap in both North and South has been either explained by a technological change or by increasing trade or globalization. The paper provides a new explanation and emphasizes that it is neither technology nor trade alone but both that have contributed to the widening wage inequality. It argues, using a two-country occupational choice model, that any technological improvement in North results in a rise in the skilled–unskilled wage gap in North via an increase in the productivity of skilled labor followed by a rise in the same in South via trade or the outsourcing activities of the northern firms. The extent of outsourcing or the number of northern firms that outsource jobs to South is endogenously determined in the model. The paper also analyzes some major economic impacts of such a technological upgradation in North on the southern economy.     

Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption

Using a novel data set for the U.S. states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of U.S. consumption since 2007 in the aftermath of the housing bubble. By separating the concepts of deleveraging and debt overhang—a flow and a stock effect—we find that excessive indebtedness exerted a meaningful drag on consumption over and beyond wealth and income effects. The overall effect, however, is modest—‐around one sixth of the slowdown in consumption between 2000–06 and 2007–12—and mostly driven by states with particularly large imbalances in their household sector. This might be indicative of non‐linearities, whereby indebtedness begins to bite only when misalignments from sustainable debt dynamics become excessive.     

Viewpoint: An extended class of instrumental variables for the estimation of causal effects

Abstract We examine how structural systems can yield observed variables instrumental in identifying and estimating causal effects. We provide an exhaustive characterization of potentially identifying conditional exogeneity relationships and demonstrate how structural relations determine exogeneity and exclusion restrictions that yield moment conditions supporting identification. This provides a comprehensive framework for constructing instruments and covariates. We introduce notions of conditioning and conditional extended instrumental variables (XIVs). These permit identification but need not be traditional instruments, as they may be endogenous. We distinguish between observed XIVs and proxies for unobserved XIVs. A main message is the importance of sufficiently specifying causal relations governing the unobservables.     

Precautionary Savings in Mexico: Evidence From the Mexican Health and Aging Study

Precautionary saving is the additional saving done by individuals to protect them financially in situations of uncertainty and reduce their vulnerability for negative shocks that may affect their consumption levels. This paper investigates the existence and extent of savings motivated by precaution in Mexico for people aged between 50 and 75, using data from the Mexican Health and Ageing Study 2003. The empirical strategy is based on a test of the direct relationship between the accumulated wealth and the uncertainty generated by the social security status, in particular the availability of health insurance, accounting also for the expectation to receive a retirement pension. The endogeneity‐corrected estimates do not yield results that unequivocally support the existence of private savings as a risk protection mechanism, implying that the public protection system has an important role in reducing the vulnerability of the population studied.     

FROM DISCRETE TO CONTINUOUS‐TIME TRANSITION MATRICES IN INTRA‐DISTRIBUTION DYNAMICS ANALYSIS: AN APPLICATION TO PER CAPITA WEALTH IN EUROPE

Previous studies focusing on the intra‐distribution dynamics analysis have usually computed, in a Markov chain framework, discrete‐time transition matrices. Such an approach, however, can involve some limitations, especially when using stock variables. In order to illustrate the importance of the time‐scale issue when estimating transition matrices, this paper applies both discrete and continuous‐time approaches to a set of cross‐national European data on per capita wealth for the period 2000–10. The results reveal, on the one hand, that the continuous‐time estimation provides a most accurate estimation of transition probabilities and, on the other, that the differences between both approaches are especially remarkable in the long‐term equilibrium distribution.     

Life Cycle Price Trends and Product Replacement: Implications for the Measurement of Inflation

The paper explores the extent to which products follow systematic pricing patterns over their life cycle and the impact this has on the measurement of inflation. Using a large U.S. scanner data set on supermarket products and applying flexible regression methods, we find that on average prices decline as items age. This life cycle price change is often attributed to quality difference in the construction of CPI as items are replaced due to disappearance or during sample rotations. This introduces a systematic bias in the measurement of inflation. For our data we find that the life cycle bias leads to the underestimation of inflation by around 0.30 percentage points each year for the products examined.     

Improving International Comparisons of Prices at Basic Heading Level: An Application to the Asia‐Pacific Region

The International Comparisons Program (ICP) run by the World Bank compares prices and real incomes across countries, and plays a pivotal role in the Penn World Table. Using a unique dataset consisting of over 600,000 price quotes from nine countries in the Asia‐Pacific region, we consider ways of improving the basic heading price indexes that form the building blocks of ICP. Current ICP methodology computes these price indexes using the country–product–dummy (CPD) method applied to the country average prices. We contrast this approach with: (i) a weighted version of CPD; (ii) CPD applied directly to the individual price quotes; and (iii) extended versions of CPD that include adjustments for unrepresentative products, urban–rural price differences, and different outlet‐types. Also considered are new CPD‐based methods for measuring urban–rural price differences, and the implications of our findings for the downward revision in China's GDP in ICP 2005.     

Modelling Heterogeneous Preferences for Income Redistribution–An Application of Continuous and Discrete Distributions

This paper investigates observable and unobservable heterogeneity in individuals’ preferences for redistribution—differentiating the desired overall volume of redistribution and who should receive benefits, subsidies, or transfers. We use data from a discrete choice experiment (DCE) conducted in the field and based on a representative sample of the German voting‐age population. Applying random parameters and latent class models, our results show that latent and potentially discontinuously distributed factors must be accounted for, as they heavily impact the interpretation of the findings. We find considerable heterogeneity in redistribution preferences, clearly identifying three distinct subgroups. While all groups are in favor of redistribution, they differ regarding the preferred allocation of the redistributive budget.