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 role of education and household composition for transitory and permanent income inequality–evidence from PSID data

Transitory and permanent shocks to income have been shown to be important determinants of household consumption. This paper shows that there are significant differences in the trends of transitory and permanent income inequality between demographic groups since the 1980s. Using data from the Panel Study of Income Dynamics, educational attainment and the composition of a household are found to play a key role. While permanent inequality increases steadily for educated households, it is flat over large parts of the sample period for the less educated households. Transitory inequality increases for all households headed by couples whereas it is constant for single households. Altogether, permanent shocks account for a larger part of the income variance of educated households whereas transitory shocks are relatively more important for the less educated. These results are able to shed light on the transmission of changes in income inequality to consumption inequality.     

Wage,income and consumption inequality in Japan, 1981–2008: From boom to lost decades

In this paper we document the main features of the distributions of wages, earnings, consumption and wealth in Japan since the early 1980s using four main data sources: the Basic Survey on Wage Structure (BSWS), the Family Income and Expenditure Survey (FIES), the National Survey of Family Income and Expenditure (NSFIE) and the Japanese Panel Survey of Consumers (JPSC). We present an empirical analysis of inequality that specifically considers the path from individual wages and earnings, to household earnings, after-tax income, and finally consumption. We find that household earnings inequality rose substantially over this period. This rise is made up of two distinct episodes: from 1981 to 1996 all incomes rose, but they rose faster at higher percentiles; from 1996 to 2008 incomes above the 50th percentile remained flat but they fell at and below the 50th percentile. Inequality in disposable income and in consumption also rose over this period but to a lesser extent, suggesting taxes and transfers as well as insurance channels available to households helped to insulate household consumption from shocks to wages. We find the same pattern in inequality trends when we look over the life cycle of households as we do over time in the economy. Additionally we find that there are notable differences in the inequality trends for wages and hours between men and women over this period.     

Optimal age‐dependent income taxation in a dynamic extensive model: The case for negative participation tax on young people

We consider optimal age‐dependent income taxation in a dynamic model where the labor‐leisure choice is the extensive margin, each household faces idiosyncratic shocks to labor productivity and a pecuniary cost to work, and there is no insurance market against the shocks. We show that the well‐known property of the optimal participation tax rate in the static model continues to hold in our dynamic economy, that is, the participation tax rates for some income groups with low consumption are likely negative. In dynamic models, the optimal participation tax rate depends on age and on labor income. Our numerical simulations suggest that a negative participation tax should be restricted to young households.     

THE ACCUMULATION OF HOUSEHOLD WEALTH OVER THE LIFE-CYCLE: A MICRODATA ANALYSIS*

In this paper, I investigate the validity of the Modigliani-Brumberg (M-B) model as an explanation of the variation of wealth holdings among households. The model as such, even with the inclusion of estimates of household lifetime earnings, explains only a minute portion of the variation in household wealth. Indeed, for certain groups such as non-white, rural residents, and the low educated, the coefficients of the regression model are insignificant. Moreover, when the top wealth holders are removed from the sample and when non-cash financial and business assets are eliminated from the household portfolios, the explanatory power of the M-B model increases markedly. Essentially, the validity of life-cycle wealth accumulation models must be restricted to the white, urban, educated middle classes and their accumulation of housing, durables, and cash. The rich have very different motives for saving and very different sources of saving, while the poor do not earn sufficient income over their lifetime to accumulate any non-negligible wealth.     

Consumption smoothing in Russia

This paper uses panel data from rounds V–IX of the Russian Longitudinal Monitoring Survey (RLMS) to examine the extent to which households are able to protect their consumption from fluctuations in their income. It is found that consumption is only partially protected from idiosyncratic shocks to income with food consumption being better protected than non‐food consumption expenditures. This suggests that adjustments in non‐food expenditures may be an important component of the risk management tools of Russian households. The analysis also provides evidence on the extent and nature of the coping strategies adopted by households. It is demonstrated that households complement their self‐insurance strategies, of borrowing, adjusting their labour supply, and selling assets, with informal risk sharing arrangements with households within their community. An examination of the role of sample selection confirmed that these findings are quite robust to this potential source of bias. Furthermore, accounting for the role of measurement and imputation errors in the measure of household income revealed that OLS estimates may yield a misleading picture about the extent to which urban and rural households are insured from idiosyncratic income shocks. JEL classification: D1, R2, P5.     

The Persistence of Income Shocks: Evidence from Rural Indonesia

This paper estimates the persistence of transient income shocks to farm households in rural Indonesia. Persistence is defined as the elasticity of a household's 1997 household per capita income with respect to its 1993 per capita income, controlling for time‐invariant characteristics of the household. Local rainfall levels are used as an exogenous source of transitory variation in 1993 income. Four main conclusions emerge. First, roughly 30% of household income shocks remain after four years. Second, the persistence of negative and positive shocks is approximately equal; if anything, positive shocks last longer. Third, neither positive nor negative income shocks disproportionately affect poor households. Finally, measurement error in income and unobserved household heterogeneity are important sources of bias. These findings cast doubt on common arguments advocating public intervention to stabilize or redistribute income, and suggest that anti‐poverty policy should address more permanent causes of household poverty.     

健康风险冲击对农户收入的影响

本文基于中国8个省份、1354个农户、跨度15年的微观面板数据,测算了大病冲击对于农户长期收入的影响以及健康风险冲击持续的时间。我们发现:(1)大病冲击在随后的12年里对于农户人均纯收入都有显著的负面影响;(2)大病冲击对于农户的短期与中期影响使得患病户人均纯收入平均降低5%—6%;(3)健康风险冲击的长期影响可持续大约15年,并且冲击对于中低收入农户的影响更为严重。     

When is market incompleteness irrelevant for the price of aggregate risk (and when is it not)?

In a standard incomplete markets model with a continuum of households that have constant relative risk aversion (CRRA) preferences, the absence of insurance markets for idiosyncratic labor income risk has no effect on the premium for aggregate risk if the distribution of idiosyncratic risk is independent of aggregate shocks and aggregate consumption growth is independent over time. In equilibrium, households only use the stock market to smooth consumption; the bond market is inoperative. Furthermore, the cross-sectional distributions of wealth and consumption are not affected by aggregate shocks. These results hold regardless of the persistence of idiosyncratic shocks, even when households face tight solvency constraints. A weaker irrelevance result survives when we allow for predictability in aggregate consumption growth.     

Is life more risky in the open? Household risk-coping and the opening of China's labor markets

This paper uses a unique panel of data from rural China to analyze the impact of expanding connections to off-farm labor markets on the income and consumption of farm households. With stronger village ties to both migrant and local off-farm labor markets, households in previously autarkic village communities experience reduced exposure to shocks affecting agricultural production. The analyses presented in this paper control for the persistent effect of past shocks influencing income and consumption, household attrition potentially correlated with shocks, and endogeneity of household demographic composition, land holdings and village network connections to migrant and local labor markets.     

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.     

MEASURING POVERTY USING BOTH INCOME AND WEALTH: A CROSS‐COUNTRY COMPARISON BETWEEN THE U.S. AND SPAIN

We study the correspondence between a household's income and its vulnerability to income shocks in two developed countries: the U.S. and Spain. Vulnerability is measured by the availability of wealth to smooth consumption in a multidimensional approach to poverty, which allows us to identify three groups of households: the twice‐poor group, which includes income‐poor households who lack an adequate stock of wealth; the group of protected‐poor households, which are all those income‐poor families with a buffer stock of wealth they can rely on; and the vulnerable‐non‐poor group, including households above the income‐poverty line that do not hold any stock of wealth. Interestingly, the risk of belonging to these groups changes over the life‐cycle in both countries while the size of the groups differs significantly between Spain and the U.S., although this result is quite sensitive to whether the housing wealth component is included in the wealth measure or not.     

Estimating Consumption Responses to Income Shocks of Different Persistence Using Self‐Reported Income Measures

Models of intertemporal consumption choice posit that consumption reacts more strongly to income shocks with persistent effects than to shocks with temporary effects. This prediction is tested using data from the Estonian Household Budget Surveys for 2002–07. Questions in the survey make it possible to distinguish between two income components of different persistence, using the individual households’ subjective income classification. Estimations confirm that households distinguish income components of different persistence and react to these differently; the consumption response to income shocks with persistent effects is significantly higher than the response to shocks with only temporary effects. Further analysis reveals, however, that consumption also reacts to lagged shocks to temporary income even when the households are not liquidity constrained, suggesting that their behavior is not fully consistent with the standard forward‐looking unconstrained consumption models.     

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.     

Sticky Consumption and Wealth Effects in Switzerland

When assessing the effect of changes in wealth on household expenditures, most empirical studies have used cointegration‐based approaches. These approaches rely on the existence of a stable long‐run relationship among consumption, wealth, and income. However, in Switzerland no such relationship seems to be present after 2001. Motivated by this issue, this paper applies a recently suggested approach to estimating long‐run wealth effects on consumption that does not rely on cointegration. This new approach relies on sticky consumption growth, which can be motivated by consumption habits or sticky expectations. In both cases, long‐run wealth effects are the result of short‐run reactions of households to changes in wealth which become long‐lasting. Using this methodology, the estimated wealth effects on consumption in Switzerland are larger than suggested by cointegration‐based estimates. Furthermore, the results show that there seems to be a remarkably high degree of consumption stickiness in Switzerland.     

Testing Prediction Performance of Poverty Models: Empirical Evidence from Uganda

This paper examines the performance of a method of predicting poverty rates. Because most developing countries cannot justify the expense of frequent household budget surveys, additional low‐cost methods have been developed and used. The prediction method is based on a model linking the proportion of poor households to suitable explanatory variables (consumption proxies). These consumption proxies are variables that can be collected at much lower cost through smaller annual surveys. Several applications have shown that such models can produce poverty estimates with confidence intervals of a similar magnitude to the poverty estimates from the household budget surveys. There is, however, limited evidence of how well the methods perform out‐of‐sample. A series of seven household budget surveys conducted in Uganda in the period 1993–2005 allows us to test the prediction performance of the model. We test the poverty models by using data from one survey to predict the proportion of poor households in other surveys, and vice versa. The results are encouraging, as all models predict similar poverty trends. Although in most cases the predictions are precise, sometimes they differ significantly from the poverty level estimated from the survey directly.     

Health shocks and consumption smoothing in rural households: Does microcredit have a role to play?

This paper estimates, using a large panel data set from rural Bangladesh, the effects of health shocks on household consumption and how access to microcredit affects households’ response to such shocks. Households appear to be fairly well insured against health shocks. Our results suggest that households sell livestock in response to health shocks and short term insurance is therefore attained at a significant long term cost. However microcredit has a significant mitigating effect. Households that have access to microcredit do not need to sell livestock in order to insure consumption. Microcredit organizations and microcredit therefore have an insurance role to play, an aspect that has not been analyzed previously.     

Changes in the Income Distribution of the Dutch Elderly between 1989 and 2020: a Dynamic Microsimulation

This paper analyzes the income distribution of the Dutch elderly using a microsimulation model. Microsimulation models allow for detailed estimates of the income distribution. Our model deviates from traditional models by explicitly considering the persistency and heteroskedasticity of real income shocks. In this way, modeling all underlying processes influencing household income becomes less necessary, which can improve the trade‐off between refinement and tractability of microsimulation models. We show the results of three model specifications with different levels of refinement. The results are in line and indicate that between 2008 and 2020, the highest predicted annual growth among the elderly is for median‐income households (about 1.2 percent). High‐income households have a somewhat lower predicted growth (about 1.0 percent) and low‐income households only have a predicted annual growth of 0.5 percent. Inequality therefore seems to increase in the lower part of the distribution, while it will probably decline in the upper part of the distribution.     

The Financial Crisis of 1929 Reexamined: The Role of Soaring Inequality

The financial crisis of 1929 that triggered the Great Depression has been endlessly studied. Still there is little consensus regarding what caused it. This article claims that wage stagnation and exploding inequality fueled three dynamics that set the stage for a financial crisis. First, consumption was constrained by the smaller share of total income accruing to workers, thereby restricting investment opportunities in the real economy. Flush with greater income and wealth, the elite flooded financial markets with credit, helping keep interest rates low and encouraging the creation of new credit instruments, some of which recycled the rich's surplus assets as debt to those less well off. Second, greater inequality pressured households to find ways to consume more in order to maintain their relative social status, resulting in reduced household saving, greater household debt, and possibly longer work hours. Third, as the rich took larger shares of income and wealth, they gained relatively more command over everything, including ideology. Reducing taxes on the rich, favoring business over labor, and failing to regulate newly evolving credit instruments flowed out of this ideology.     

Politico-economic inequality and the comovement of government purchases

This paper explores the implications of economic and political inequality for the comovement of government purchases with macroeconomic fluctuations. We set up and compute a heterogeneous-agent neoclassical growth model, where households value government purchases which are financed by income taxes. A key feature of the model is a wealth bias in the political aggregation process. When calibrated to U.S. wealth inequality and exposed to aggregate productivity shocks, such a model is able to generate weaker positive comovement of government purchases than models with no political wealth bias. The wealth bias that matches the cross-sectional campaign contribution distribution by income is consistent with the mild positive comovement of government purchases in the aggregate data. We thus provide an empirically relevant example where economic and political heterogeneity matter for aggregate dynamics.