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We study the relation between the distribution of labor earnings and the distribution of wealth. We show, theoretically as well as empirically, that while labor earnings and precautionary savings are important determinants of wealth inequality factors, they cannot by themselves account for the thick tail of (the large top shares in) the observed distribution of wealth. Other determinants, like stochastic returns to wealth, as well as savings rates and rates of returns increasing in wealth, need to be accounted for.

This paper uses an estimated Heterogeneous Agent New Keynesian (HANK) model to evaluate the quantitative importance of two channels in driving aggre- gate consumption fluctuations in the US: (i) precautionary savings against un- employment risk and (ii) MPC heterogeneity. I find that MPC heterogeneity is the dominant channel because a large fraction of households are close to the borrow- ing limit. The empirical average MPC target in HANK generates counterfactually volatile aggregate consumption, and thus makes it more difficult for the estimated model to match the persistence of the aggregate data, indicating an MPC puzzle. This is because the likelihood-based estimation favors a low degree of nominal rigidity and responsive monetary policy in the HANK model to reduce the dis- crepancy between consumption volatility in the model and in the data. The low degree of nominal rigidity and responsive monetary policy reduce the persistence of endogenous variables in the model.

This article uses a large panel dataset that tracks the housing wealth and credit card spending of 12,793 individuals in Hong Kong to study the relationship between housing wealth and household consumption. I identify a significant effect of housing wealth on consumption. A pure wealth effect can explain part of the sensitivity: households with multiple houses have much stronger consumption responses. Consistent with a relaxation of the credit constraints, mortgage refinancing significantly increases households' consumption sensitivities. However, for the majority of the households that do not refinance, consumption sensitivity appears to be due to a reduction in precautionary saving.

Heightened uncertainty since the onset of the Great Recession has materially increased saving rates, contributing to lower consumption and GDP growth. Consistent with a model of precautionary savings in the face of uncertainty, the paper finds for a panel of advanced economies that greater labor income uncertainty is significantly associated with higher household savings. These results are robust to controlling for other determinants of saving rates, including wealth-to-income ratios, the government fiscal balance, demographics, credit conditions, and global growth and financial stress. The estimates imply that at least two-fifths of the sharp increase in household saving rates between 2007 and 2009 can be attributed to the precautionary savings motive.

Explaining the evolution of the wealth distribution requires understanding the dynamics of consumption and savings. We analyze the dynamics of consumption and savings under uncertainty in labour income and the rate of return on wealth, which are two-state continuous time Markov processes. The rate of return is persistent and has a right-skewed distribution. We show that the wealth accumulation process has a stationary distribution if the (unconditional) expected change in the rate of return is sufficiently small or large. In particular, when the expected change in the rate of return is moderate, the wealth accumulation process is non-stationary.

This paper provides conditions under which an algorithm for the computation and simulation of Bewley–Huggett–Aiyagari models, based on state-space discretization, will converge to all true solutions. These conditions are shown to be satisfied in two standard examples: the Aiyagari model and its extension to endogenous labor. Bewley–Huggett– Aiyagari models are general equilibrium models with incomplete markets and idiosyncratic, but no aggregate, shocks. The algorithm itself is based on discretization, while the theory importantly allows for making simulations using the approximate computational solution of the value function problem rather than the true model solution. The numerical results of applying the algorithm to both models are provided and investigated in terms of replication, revealing that the Aiyagari model overestimates the degree of precautionary savings in the high-risk-and-high-risk-aversion case. The results also show that both models almost certainly have a unique general equilibrium. Theoretically, the existence of equilibria was known, but uniqueness remained an open question.

The aim of this paper is to empirically study the effect of uncertainty on private consumption using a sample of Spanish households, and therefore, to test the existence of a precautionary motive for saving. Using data provided by the Spanish Survey of Household Finances and the Labour Force Survey we construct several uncertainty measures that are commonly used in the literature and an additional indicator based on job insecurity data, and we consequently estimate different econometric models under the life-cycle/permanent income hypothesis, including these measures of uncertainty. Our results are twofold: first, we find evidence in favour of the precautionary saving hypothesis. Secondly, we find that, unlike other variables related to the performance of the labour market (such as the unemployment rate) the job insecurity indicator is an appropriate variable to approximate income uncertainty in any macroeconomic context.

We quantified the relative importance of the precautionary motive in determining savings. Existing empirical evidence suggests that the impact of precautionary savings is small if one uses a subjective (based on self-reported expectations) measure of uncertainty about next year income. However, other studies use more objective (based on income data) methods to proxy for income uncertainty by exploiting life-cycle income variation. These studies find a large effect of precautionary savings. These contradictory results may be either suggestive of methodological shortcomings or the result of institutional differences between countries. We refined the subjective method by taking into account the uncertainty as perceived by the second income earner. We then apply the 'objective' and 'subjective' method to the same data set and obtain similar results: the subjective and objective methods suggest that precautionary savings account for approximately 30% of savings.

This paper examines how aversion to risk and aversion to intertemporal substitution determine the strength of the precautionary saving motive in a two-period model with Selden/Kreps-Porteus preferences. For small risks, we derive a measure of the strength of the precautionary saving motive that generalizes the concept of \"prudence\" introduced by Kimball (1990b). For large risks, we show that decreasing absolute risk aversion guarantees that the precautionary saving motive is stronger than risk aversion, regardless of the elasticity of intertemporal substitution. Holding risk preferences fixed, the extent to which the precautionary saving motive is stronger than risk aversion increases with the elasticity of intertemporal substitution. We derive sufficient conditions for a change in risk preferences alone to increase the strength of the precautionary saving motive and for the strength of the precautionary saving motive to decline with wealth. Within the class of constant elasticity of intertemporal substitution, constant-relative risk aversion utility functions, these conditions are also necessary.

Not properly accounting for differences between business owners and nonbusiness owners in studies of household wealth can lead to erroneous conclusions about the significance of different saving motives. Using data from the Panel Study of Income Dynamics from the 1980s and 1990s, we show that within samples of both business owners and non—business owners, the amount of precautionary savings with respect to labor income risk is modest and accounts for less than 10% of total household wealth. Previous large estimates of the size of precautionary balances resulted from pooling these two groups together. Such pooling is inappropriate given that business owners face higher labor risk and accumulate more wealth than non—business owners for reasons unrelated to precautionary motives.