This paper analyzes the welfare costs of business cycles when workers face uninsurable job displacement risk. The paper uses a simple macroeconomic model with incomplete markets to show that cyclical variations in the long-term earnings losses of displaced workers can generate arbitrarily large cost of business cycles even if the variance of individual income changes is constant over the cycle. In addition to the theoretical analysis, this paper conducts a quantitative study of the cost of business cycles using empirical evidence on the long-term earnings losses of US workers. The quantitative analysis shows that realistic variations in job displacement risk generate sizable costs of business cycles, even though a second-moment analysis would suggest negligible costs.

This paper develops a framework to study empirically the relationship between trade policy and individual income risk and to evaluate the associated welfare consequences. The analysis proceeds in three steps. First, longitudinal data on workers are used to estimate time-varying individual income risk parameters in various manufacturing sectors. Second, the estimated income risk parameters and data on trade barriers are used to analyze the relationship between trade policy and income risk. Finally, a simple dynamic incomplete-market model is used to assess the corresponding welfare costs. In the implementation of this methodology using Mexican data, we find that trade policy changes have a significant short-run effect on income risk. Further, while the tariff level has an insignificant mean effect, it nevertheless changes the degree to which macroeconomic shocks affect income risk.

We use microdata to show that young households with children are underinsured against the risk that an adult member of the household dies. This empirical finding can be explained by a macroeconomic model with human capital risk, age-dependent returns to human capital investment, and endogenous borrowing constraints due to limited contract enforcement. When calibrated, the model quantitatively accounts for the observed life-cycle variation in life insurance holdings, financial wealth, earnings, and consumption inequality. The model also predicts that reforms making consumer bankruptcy more costly will substantially increase the volume of both credit and insurance.