Dynamics Of Wealth Inequality Research Articles

Digital finance and wealth inequality: Evidence from a big tech platform in China during the COVID-19 pandemic

Inequality is a longstanding concern, yet how the rapid advancement of financial technology could possibly reshape inequality in the financial market remains unclear. This study analyzes wealth inequality dynamics among Chinese households during the COVID-19 pandemic, using random sample data collected from a quarterly online survey on a big tech platform. Our findings reveal that families with middle-level wealth incurred substantial losses, whereas wealthier families experienced relatively minor reductions in wealth and were able to recover from the situation swiftly. Despite this, our study indicates that digital wealth management, as channeled via major Chinese digital platforms, mitigated the rising wealth inequality triggered by the pandemic. This is presumably because digital finance improves accessibility to assets with lower risks for middle-level wealth groups. Our study has strong policy implications, namely that regulations on digital financial platforms should not underestimate the beneficial impact of digital finance on inequality reduction when balancing innovation and financial stability.

Moderate opulence: the evolution of wealth inequality in Mexico in its first century of independence

This article presents the first complete 19th-century reconstruction of the Mexican wealth distribution, from independence to the Mexican Revolution. It uses an often underutilized source in Mexican historiography: will inventories/protocols. In addition, the present article estimates the levels and trends of historical wealth inequality using five different methods, among them the application of the properties of two theoretical parametric distributions to the measurement of historical inequality. The dynamics of wealth inequality in 19th century Mexico were dominated by the top 1% and the middle 40% of the wealth distribution; meanwhile, the top 10% and bottom 50% demonstrate remarkable stability. This article makes significant contributions through two primary avenues: firstly, the reconstruction of historical wealth inequality, and secondly, the analysis of historical developments in the context of their potential impact on the distribution of wealth within a dynamic political economy environment.N36, D31, I32, H20.

Moderate Opulence: The Evolution of Wealth inequality in Mexico in its first century of independence

This article presents the first complete 19th-century reconstruction of the Mexican wealth distribution, from independence to the Mexican Revolution. It uses an often underutilized source in Mexican historiography: will inventories/protocols. In addition, the present article estimates the levels and trends of historical wealth inequality using five different methods, among them the novel application of the properties of two theoretical parametric distributions to the measurement of historical inequality. The dynamics of wealth inequality in 19th century Mexico were dominated by the top 5% and the middle 40% of the wealth distribution; meanwhile, the top 10% and bottom 40% demonstrate remarkable stability. This article's main contributions are the reconstruction of historical wealth inequality combining classic and new methods, the examination of the distributive forces and their dynamics in a changing political economy environment and analyzing the historical developments in light of their potential effect on the distribution of economic resources.

Unraveling the dynamics of wealth inequality and the impact on social mobility and health disparities

Inequalities in wealth, income, access to food and healthcare have been rising worldwide in the past decades, approaching levels seen in the early 20th century. Here we study the relationships between wealth inequality and mobility for different segments of the population, comparing longitudinal surveys conducted in the USA and in Italy. The larger wealth inequality observed in the USA is reflected by poorer health conditions than in Italy. We also find that in both countries wealth mobility becomes slower at the two extremes of the wealth distribution. Households trapped in a state of persistent lack of wealth are generally experiencing greater food insecurity and poorer health than the general population. We interpret the observed association between inequality and immobility using a simple agent based model of wealth condensation driven by random returns and exchanges. The model describes well survey data on a qualitative level, but the mobility is generally overestimated by the model. We trace back this discrepancy to the way income is generated for low-wealth households which is not correctly accounted by the model. On the other hand, the model is excellent in describing the wealth dynamics within a restricted class of ultra-wealthy, as we demonstrate by analyzing billionaires lists. Our results suggest that different forms of inequality are intertwined and should therefore be addressed together.

Comments on “Wealth inequality dynamics in Europe and the United States: Understanding the determinants” by Blanchet and Martínez-Toledano

In this paper, Blanchet and Martínez-Toledano collect, expand, and harmonize wealth and income inequality statistics from prior research and public data sets for the U.S. and E.U. It is a huge undertaking. My comments focus on whether the data permit us at this point to draw these conclusions, or whether differences in methodology and data construction require further reconciliation. While I lean toward the latter judgement, I view this paper and the underlying project as a first, constructive step in an ambitious agenda, with many avenues yet to explore.

Wealth inequality dynamics in europe and the united states: Understanding the determinants

This paper studies the interaction between the long-term dynamics of aggregate household wealth and the wealth distribution in Europe and the United States. We do so by building the first Distributional Wealth Accounts for Europe, including households’ assets, liabilities, investment flows, and the wealth distribution for most European countries from 1970–2020. We find that although aggregate household wealth to income ratios have followed a similar increasing pattern in both Europe and the United States since 1970, wealth concentration has increased much faster in the United States. Using wealth accumulation decompositions and counterfactual simulations, we show that the weaker rise in labor income inequality and the stronger rise in house prices relative to financial assets in Europe versus the United States appear to explain why Europe has experienced a more moderate rise in wealth concentration since the mid-1980s.

Statistical dynamics of wealth inequality in stochastic models of growth

Understanding the statistical dynamics of growth and inequality is a fundamental challenge to ecology and society. Recent analyses of wealth and income in contemporary societies show that economic inequality is very dynamic and that individuals experience substantially different wealth growth rates over time. However, despite a fast-growing body of evidence for the importance of fluctuations, we still lack a general statistical theory for understanding the dynamical effects of heterogeneous growth across a population. Here we derive the statistical dynamics of correlated wealth growth rates in heterogeneous populations. We show that correlations between growth rate fluctuations at the individual level influence aggregate population growth, while only driving inequality on short time scales. We also find that growth rate fluctuations are a much stronger driver of long-term inequality than income volatility. Our findings show that the dynamical effects of statistical fluctuations in growth rates are critical for understanding the emergence of inequality over time and motivate a greater focus on the properties and endogenous origins of growth rates in stochastic environments.

Fiscal policy and inequality in a model with endogenous positional concerns

We investigate the dynamics of wealth inequality in an economy where households have positional preferences, with the strength of the positional concern determined endogenously by inequality of wealth distribution in the society. We demonstrate that in the long run such an economy converges to a unique egalitarian steady-state equilibrium, with all households holding equal positive wealth, when the initial inequality is sufficiently low. Otherwise, the steady state is characterised by polarisation of households into rich, who own all the wealth, and poor, whose wealth is zero. A fiscal policy with government consumption funded by taxes on labour income and wealth can move the economy from any initial state towards an egalitarian equilibrium with a higher aggregate wealth.

A Wicked War

As war is an eminently political event, the impact of wars on inequality can be seen as an expression of the politics in society. This paper engages with the ongoing literature relating warfare to wealth inequality dynamics in a pre-industrial world. It employs an unbalanced panel of wills in a combined event study and instrument variables research designs to explore the wealth inequality dynamics in Mexico during the Mexican-American War of 1846-1848. The findings suggest that weak public finances and financial crisis led to increasing wealth inequality through military expenditures and national debt. However, the formation of a regressive fiscal-military state and a levelling effect of warfare can coexist. Inequality depends on how war is financed and how destructive to capital and wealth the war is.

Statistical Dynamics of Wealth Inequality in Stochastic Models of Growth

Understanding the statistical dynamics of growth and inequality is a fundamental challenge to ecology and society. Recent analyses of wealth and income dynamics in contemporary societies show that economic inequality is very dynamic and that individuals experience substantially different growth rates over time. However, despite a fast growing body of evidence for the importance of fluctuations, we still lack a general statistical theory for understanding the dynamical effects of heterogeneneous growth across a population. Here we derive the statistical dynamics of correlated growth rates in heterogeneous populations. We show that correlations between growth rate fluctuations at the individual level influence aggregate population growth, while only driving inequality on short time scales. We also find that growth rate fluctuations are a much stronger driver of long-term inequality than earnings volatility. Our findings show that the dynamical effects of statistical fluctuations in growth rates are critical for understanding the emergence of inequality over time and motivate a greater focus on the properties and endogenous origins of growth rates in stochastic environments.

Wealth Inequality and Return Heterogeneity during the COVID-19 Pandemic

Wealth inequality in the U.S., measured by the top 1% wealth share, experienced dramatic changes in the first year of the COVID-19 pandemic. Economic theory suggests that the key to understanding wealth inequality is heterogeneity in the return to net worth across households. To understand the dynamics of wealth inequality during the COVID-19 pandemic, we develop a novel methodology that allows us to estimate the returns to net worth for different groups of households at relatively high frequency. We show that portfolio heterogeneity and asset price movements are the main determinants of wealth returns and inequality, whereas saving-rate heterogeneity and within-class return differences played a minor role. As the stock market continued to outperform the housing market, the return of the wealthy has risen faster than that of other households, reinforcing the wealth concentration at the top. We also document a widening racial return gap between white and black households later in the pandemic. Nearly all of the racial differences in the wealth return, however, are explained by the differences in wealth, not by race itself. Whereas the previous literature has evaluated return heterogeneity and its implications for long-run wealth inequality in low-frequency data, our analysis suggests that return heterogeneity together with large asset price movements is also the key to understanding short-run dynamics in wealth inequality.

Correction to: Accounting for Wealth-Inequality Dynamics: Methods, Estimates, and Simulations for France

Correction to: Accounting for Wealth-Inequality Dynamics: Methods, Estimates, and Simulations for France

Dynamics of Wealth Inequality in Simple Artificial Societies

A simple generative model of a foraging society generates significant wealth inequalities from identical agents on an equal opportunity landscape. These inequalities arise in both equilibrium and non-equilibrium regimes with some societies essentially never reaching equilibrium. Reproduction costs mitigate inequality beyond their affect on intrinsic growth rate. The highest levels of inequality are found during non-equilibrium regimes. Inequality in dynamic regimes is driven by factors different than those driving steady state inequality.

Accounting for Wealth-Inequality Dynamics: Methods, Estimates, and Simulations for France

Abstract Measuring and understanding the evolution of wealth inequality is a key challenge for researchers, policy makers, and the general public. This paper breaks new ground on this topic by presenting a new method to estimate and study wealth inequality. This method combines fiscal data with household surveys and national accounts in order to provide annual wealth distribution series, with detailed breakdowns by percentiles, age, and assets. Using the case of France as an illustration, we show that the resulting series can be used to better analyze the evolution and the determinants of wealth-inequality dynamics over the 1970–2014 period. We show that the decline in wealth inequality ends in the early 1980s, marking the beginning of a rise in the top 1% wealth share, though with significant fluctuations due largely to asset price movements. Rising inequality in savings rates coupled with highly stratified rates of returns has led to rising wealth concentration in spite of the opposing effect of house price increases. We develop a simple simulation model highlighting how changes in the combination of unequal savings rates, rates of return, and labor earnings that occurred in the early 1980s generated large multiplicative effects that led to radically different steady-state levels of wealth inequality. Taking advantage of the joint distribution of income and wealth, we show that top wealth holders are almost exclusively top capital earners, and increasingly fewer are made up of top labor earners; it has become increasingly difficult in recent decades to access top wealth groups with one's labor income only.

Making sense of Piketty's ‘fundamental laws’ in a Post-Keynesian framework: the transitional dynamics of wealth inequality

If Piketty's main theoretical prediction (r > g leads to rising wealth inequality) is taken to its radical conclusion, then a small elite will own all wealth if capitalism is left to its own devices. We formulate and calibrate a Post-Keynesian model with an endogenous distribution of wealth between workers and capitalists which permits such a corner solution of all wealth held by capitalists. However, it also shows interior solutions with a stable, non-zero wealth share of workers, a stable wealth-to-income ratio, and a stable and positive gap between the profit and the growth rate determined by the Cambridge equation. More importantly, simulations show that the model conforms to Piketty's empirical findings during a transitional phase of increasing wealth inequality, which characterizes the current state of high-income countries: the wealth share of capitalists rises to over 60 per cent, the wealth-to-income ratio increases, and income inequality rises. Finally, we show that the introduction of a wealth tax as suggested by Piketty could neutralize this rise in wealth concentration predicted by our model.

Macroeconomic determinants of wealth inequality dynamics

The evolution of wealth inequality over the long run depends on income growth, inflation, and interest rates. In this paper, we examine, in a dynamic setting, the effect of these three macroeconomic variables on wealth inequality in the United States over the periods 1929–2009 and 1962–2009. The results show that these macroeconomic factors explain a significant amount of the changes in wealth inequality. The results indicate that increases in inflation and income growth contribute positively to net wealth shares of adults in the bottom 50% and middle 40% of the wealth distribution, leading to decreases in overall wealth inequality. Interestingly, the results show increases in interest rates contribute to lower wealth inequality in the U.S. although this result does not hold across all the inequality measures.

Dynamics of wealth inequality

We study an agent-based model of evolution of wealth distribution in a macro-economic system. The evolution is driven by multiplicative stochastic fluctuations governed by the law of proportionate growth and interactions between agents. We are mainly interested in interactions increasing wealth inequality that is in a local implementation of the accumulated advantage principle. Such interactions destabilise the system. They are confronted in the model with a global regulatory mechanism which reduces wealth inequality. There are different scenarios emerging as a net effect of these two competing mechanisms. When the effect of the global regulation (economic interventionism) is too weak the system is unstable and it never reaches equilibrium. When the effect is sufficiently strong the system evolves towards a limiting stationary distribution with a Pareto tail. In between there is a critical phase. In this phase the system may evolve towards a steady state with a multimodal wealth distribution. The corresponding cumulative density function has a characteristic stairway pattern which reflects the effect of economic stratification. The stairs represent wealth levels of economic classes separated by wealth gaps. As we show, the pattern is typical for macro-economic systems with a limited economic freedom. One can find such a multimodal pattern in empirical data, for instance, in the highest percentile of wealth distribution for the population in urban areas of China.

Distributional Effects of Surging Housing Costs Under Schwabe's Law

The upward sloping trend of rents and house prices has initiated a debate on the consequences of surging housing costs for wealth inequality and welfare. We employ a frictionless two-sectoral macroeconomic model with a housing sector to investigate the dynamics of wealth inequality and the determinants of welfare. Households have non-homothetic preferences, implying that the poor choose a higher housing expenditure share, which is compatible with Schwabe’s Law. We first examine the isolated effects of increasing housing costs in partial equilibrium. The model is closed by introducing a production sector that enables us to analyze the general equilibrium consequences of a widely discussed policy option, which aims at dampening the growth of housing costs. Abolishing zoning regulations triggers a slower rent growth and reduces wealth inequality by 0.7 percentage points (measured by the top 10 percent share). Average welfare increases by 0.5 percent. The household-specific welfare effects are asymmetric. The poor benefit more than the rich, and the richest wealth decile is even worse off.

Accounting for Wealth Inequality Dynamics: Methods, Estimates and Simulations for France

Accounting for Wealth Inequality Dynamics: Methods, Estimates and Simulations for France

Countercyclical Risks and Portfolio Choice Over the Life Cycle: Evidence and Theory

I show that countercyclical earnings dynamics can have quantitatively important effects on saving and portfolio choice decisions over the life cycle. During expansions (recessions) when expected future earnings growth is high (low), households save less (more) and also invest a higher (lower) share of their financial wealth in the stock market. Negative skewness in the earnings process during recessions further reduces households' stock market exposure and consumption. These quantitative predictions are consistent with microeconometric evidence from the Panel Study of Income Dynamics and macroeconometric evidence from the Flow of Funds. Counterfactual simulations using the calibrated model generate wealth inequality dynamics similar to their empirical counterparts.