Research Database

We provide sufficient conditions for the feasibility of robust Pareto-improving (RPI) fiscal policies in the class of incomplete markets models of Bewley-Huggett-Aiyagari and when the interest rate on government debt is below the growth rate (r < g). We allow for arbitrary heterogeneity in preferences and income risk and a potential wedge between the return to capital and to government bonds. An RPI improves risk sharing and can induce a more efficient level of capital. We show that the elasticities of aggregate savings to changes in interest rates are the crucial ingredients that determine the feasibility of RPIs. We establish that government debt and capital investment associated with an RPI may be complements along the transition, rather than the traditional substitutes. Our analysis shifts the focus of fiscal policy in incomplete markets from explicitly redistributive policies to using government bonds and simple subsidies to robustly improve welfare of all agents at all points in time.

A persistent rise in rents has kept inflation above target in many advanced economies. Optimal policy in the standard New Keynesian (NK) model requires policy to stabilize housing inflation. We argue that the basic architecture of the NK model—that excess demand is always satisfied by producers—is inappropriate for the housing market, and we develop a matching framework that allows for demand rationing. Our findings indicate that the optimal response to a housing demand shock is to stabilize inflation in the non-housing sector while disregarding housing inflation. Our results hold exactly in a version of the model with costless search and quantitatively in a version with housing search costs calibrated to match US data on housing tenure, vacancy rates, and the size of the real estate sector.

We present a dynamic general equilibrium model of homelessness calibrated to the U.S. data and evaluate the effectiveness of several policies in the fight against homelessness. The model is designed to capture the most at-risk groups, producing a diverse homeless population that includes a significant portion experiencing short-term homelessness due to labor market shocks and a smaller portion facing chronic homelessness mostly due to health shocks. Our policy experiments reveal that the existing housing voucher program effectively reduces homelessness especially when the general equilibrium effects are accounted for. We show that increasing the reach of the program for eligible individuals can lead to further declines in the aggregate homeless rate relative to alternative forms of subsidies. However, policies targeted to help decrease homelessness are not as popular as general poverty reduction tools such as cash subsidies, which generate a larger welfare gain in our experiments.

We develop a time series of quits and layoffs using the Current Population Survey, and analyze their relationship with labor supply decisions over the business cycle. Our findings challenge the assumption that most labor force exits from employment (EN) are voluntary quits. Instead, we show that 40% of these exits are precipitated by layoffs. With this distinction, both quits to non-participation and the share of workers exiting after a layoff falls during recessions. A workhorse search model is used to frame how these facts add nuance to our understanding of business cycles. Additional results explore regularities of these patterns in the cross section of workers, in the COVID-19 recovery, and in comparison to the JOLTS series on quits and layoffs.

In an economy with incomplete markets and consumers who are sufficiently risk averse, we show that the government can uniquely implement a permanent primary deficit using nominal debt and continuous Markov strategies for primary deficits and payments to debtholders. But this result fails if there are also useless pieces of paper (bitcoin for short) that can be traded. If there is trade in bitcoin, then there is no continuous Markov strategy for the government that leads to unique implementation. Instead, there is a continuum of equilibria with distinct real allocations in which the price of bitcoin converges to zero. And there is a balanced budget trap: continuous government policies designed for a permanent primary deficit cannot eliminate an alternative steady state in which r - g = 0 and the government is forced to balance its budget. A legal prohibition against bitcoin can restore unique implementation of permanent primary deficits, and so can a tax on bitcoin at the rate -(r - g) > 0.

This online appendix accompanies Institute Working Paper 101: Dynamics of Deterrence: A Macroeconomic Perspective on Punitive Justice Policy.

We argue that transitional dynamics play a critical role in evaluating the effects of punitive incarceration reform on crime, inequality, and labor markets. Individuals’ past choices regarding crime and employment under previous policies have persistent consequences that limit their responsiveness to policy changes. We provide novel cohort evidence supporting this mechanism. A quantitative model of this theory, calibrated using restricted administrative data, predicts nuanced dynamics of crime and incarceration that are distinct across property and violent crime and similar to the U.S. experience after 1980. Increased inequality and declining employment accompany these changes, with unequal impacts across generations.

While rising house prices are known to benefit existing homeowners, we document a new channel through which house price shocks have intergenerational wealth effects. Using panel data from school zones within a large U.S. school district, we find that higher local house prices lead to improvements in local school quality, thereby increasing children's human capital and future incomes. We quantify this housing wealth channel using an overlapping generations model with neighborhood choice, spatial equilibrium, and endogenous school quality. We find that housing market shocks generate large intergenerational wealth effects that account for around one-third of total housing wealth effects.

We measure health inequality during middle and old age by race, ethnicity, and gender and evaluate the extent to which it can explain inequalities in other key economic outcomes using the Health and Retirement Study data set. Our main measure of health is frailty, which is the fraction of one’s possible health deficits and is related to biological age. We find staggering health inequality: At age 55, Black men and women have the frailty, or biological age, of White men and women 13 and 20 years older, respectively, while Hispanic men and women exhibit frailty akin to White men and women 5 and 6 years older. The health deficits composing frailty reveal that most health deficits are more likely for Black and Hispanic people than for White people, with the notable exception of those requiring a diagnosis. Imputing medical diagnoses to Black and Hispanic people uncovers even larger health gaps, especially for Black men. Health inequality also emerges as a powerful determinant of economic inequality. If Black individuals at age 55 had the health of their White peers, the life expectancy gap between these two groups would halve, and the gap in disability duration would decrease by 40-70%. Other outcomes are similarly affected by health at age 55, indicating that targeted health interventions for minority groups before middle age could substantially reduce economic disparities in the quantity and quality of life.

We show that the first and only experiment of U.S. mass production of houses, in a factory-built home industry that became known as the Mobile Home industry (and today, as the Manufactured Home industry), was a tremendous success. Mobile Home prices-psf fell by two-thirds from 1955 to 1973, as productivity soared; home quality rose significantly, with Mobile Home building codes receiving ANSI certification in 1963 and National Fire Protection Association co-sponsorship in 1965; as production soared, Mobile Homes accounted for one-third of single-family homes produced in the early 1970s. These feats were achieved as industry leaders developed state-wide building codes for Mobile Homes. This dramatically increased the size of the market for them. Factories invested in specialized machinery to produce simple and standardized products, substituting machinery for labor. Given each factory produced under the same code, industry-induced productivity gains followed, including external effects and directed technical change. Lessons from this industry give insights into critical issues in today's residential construction industry. The poor productivity performance of today's residential construction industry is considered a puzzle. But this poor performance is not new. Our forebears before 1950 wrote extensively about the sector's poor performance, attributing it to the failure to adopt factory-built housing. Our analysis strongly supports this view - for their time and ours. It also supports their view, like that of Levitt & Sons, that factory production is the only way "to produce the homes and apartments needed to house our expanding population and our underprivileged citizens in a comfortable, dignified, decent way," (U.S. Senate 1969).