Research Database

This article asks whether or not the overall welfare of U.S. residents would be greater if U.S. federal law prohibited state governments from offering tax breaks to particular businesses. The answer of a formal model is yes, making such tax breaks illegal could increase a summary measure of total welfare in the economy. According to the model, the policy could increase welfare because it would increase the tax revenue collected from capital agents, and that revenue could finance an increase in spending on public goods. The policy would also spread the tax burden more evenly in the economy and so reduce the deadweight loss of taxation per dollar collected. In addition, the policy would lead to a more efficient pattern of industry locations in the economy.

We develop and calibrate a search-theoretic model of the labor market in order to forecast the evolution of the aggregate US labor market during and after the coronavirus pandemic. The model is designed to capture the heterogeneity of the transitions of individual workers across states of unemployment and employment and across different employers. The model is designed also to capture the trade-offs in the choice between temporary and permanent layoffs. Under reasonable parametrizations of the model, the lockdown instituted to prevent the spread of the novel coronavirus is shown to have long-lasting negative effects on unemployment. This is because the lockdown disproportionately disrupts the employment of workers who need years to find stable jobs.

We show how to use security market data to restrict the admissible region for means and standard deviations of intertemporal marginal rates of substitution (IMRS’s) of consumers. Our approach is (i) nonparametric and applies to a rich class of models of dynamic economies; (ii) characterizes the duality between the mean-standard deviation frontier for IMRS’s and the familiar mean-standard deviation frontier for asset returns; and (iii) exploits the restriction that IMRS’s are positive random variables. The region provides a convenient summary of the sense in which asset market data are anomalous from the vantage point of intertemporal asset pricing theory.