Knowledge that Transforms

We study a two-country setting in which leveraged investors generate fire-sale externalities, leading to financial crises and contagion. Governments can affect the incidence of financial crisis and the degree of contagion by injecting public liquidity and, additionally, by segmenting the countries’ liquidity markets. We show that segmentation allows a country to avoid contagion and fend off mild financial crises caused by a small shock to its liquidity demand, at the cost of exposing it to more severe financial crises caused by a large shock. We derive a “pecking order” result, whereby segmentation is a second-best measure that coordinated governments should use only when tax capacity constrains them from injecting liquidity. Even when segmentation is welfare-enhancing, it should be applied to public liquidity alone, never restricting the free flow of private liquidity across countries. Uncoordinated governments tend to use segmentation excessively.

We study the effects of European immigration to the U.S. during the Age of Mass Migration (1850–1920) on economic prosperity. Exploiting cross-county variation in immigration that arises from the interaction of fluctuations in aggregate immigrant flows and of the gradual expansion of the railway network, we find that counties with more historical immigration have higher income, less poverty, less unemployment, higher rates of urbanization, and greater educational attainment today. The long-run effects seem to capture the persistence of short-run benefits, including greater industrialization, increased agricultural productivity, and more innovation.

We study the role of housing wealth in financing retirement consumption. In our model retirees: 1. derive utility benefits from remaining in their home (aging in place); and 2. choose in each period whether to maintain their house. The evidence that we present shows that these features are important in explaining the saving decisions of the elderly. The costs and the maintenance requirement of reverse mortgages (RMs) reduce (or eliminate) the benefits of the loans for retirees who wish to do less maintenance. We evaluate the impact of different loan features on retirees’ utility, cash-flows to lenders, and to the government agency that provides mortgage insurance. We show that combining RMs with insurance against a forced home sale (e.g. due to a move to a nursing home) is Pareto improving and can lead to increased demand for the loans due to product complementarities.

In this article we study consumption network effects. Does the consumption of our peers affect our own consumption? How large is such effect? What are the economic mechanisms behind it? We use administrative panel data on Danish households to construct a measure of consumption based on tax records on income and assets. We combine tax record data with matched employer–employee data to identify peer groups based on workplace, which gives us a much tighter and credible definition of networks than used in previous literature. We use the non-overlapping network structure of one’s peers group, as well as firm-level shocks, to build valid instruments for peer consumption. We estimate non-negligible and statistically significant network effects, capable of generating sizable multiplier effect at the macro-level. We also investigate what mechanisms generate such effects, distinguishing between intertemporal and intratemporal consumption effects as well as a more traditional risk sharing view.

In this article, I jointly investigate the political and the economic effects of immigration, and study the causes of anti-immigrant sentiments. I exploit exogenous variation in European immigration to U.S. cities between 1910 and 1930 induced by World War I and the Immigration Acts of the 1920s, and instrument immigrants’ location decision relying on pre-existing settlement patterns. I find that immigration triggered hostile political reactions, such as the election of more conservative legislators, higher support for anti-immigration legislation, and lower redistribution. Exploring the causes of natives’ backlash, I document that immigration increased natives’ employment, spurred industrial production, and did not generate losses even among natives working in highly exposed sectors. These findings suggest that opposition to immigration was unlikely to have economic roots. Instead, I provide evidence that natives’ political discontent was increasing in the cultural differences between immigrants and natives. Results in this article indicate that, even when diversity is economically beneficial, it may nonetheless be socially hard to manage.

We develop a quantitative theory of repeated political transitions driven by revolts and reforms. In the model, the beliefs of disenfranchised citizens play a key role in determining revolutionary pressure, which in interaction with preemptive reforms determine regime dynamics. We study the quantitative implications of the model by fitting it to data on the universe of political regimes existing between 1946 and 2010. The estimated model generates a process of political transitions that looks remarkably close to the data, replicating the empirical shape of transition hazards, the frequency of revolts relative to reforms, the distribution of newly established regime types after revolts and reforms, and the unconditional distribution over regime types.

I study the aggregate effects of labour market frictions in a small open economy where firms grow slowly and make fixed export investments. The model features interactions between dynamic investments in exporting and search frictions with job-to-job mobility. A calibration to Argentina’s economy matching data on firm growth, worker transitions between firms, and export dynamics suggests that the real income gains from lowering frictions in job-to-job transitions are about seven times larger than comparable reductions in frictions from unemployment. Barriers to worker mobility across firms matter for the real income gains of trade-cost reductions.

We use administrative data from the IRS to examine long-term impacts of childhood Medicaid eligibility expansions on outcomes in adulthood at each age from 19-28. Greater Medicaid eligibility increases college enrollment and decreases fertility, especially through age 21. Starting at age 23, females have higher contemporaneous wage income, although male increases are imprecise. Together, both genders have lower mortality. These adults collect less from the earned income tax credit and pay more in taxes. Cumulatively from ages 19-28, at a 3% discount rate, the federal government recoups 58 cents of each dollar of its "investment" in childhood Medicaid.

In public school choice, students with strict preferences are assigned to schools. Schools are endowed with priorities over students. Incorporating constraints from different applications, priorities are often modelled as choice functions over sets of students. It has been argued that the most desirable criterion for an assignment is stability; there should not exist any blocking pair: no student shall prefer some school to her assigned school and have higher priority than some student who got into that school or the school has an empty seat. We propose a blocking notion where in addition it must be possible to assign the student to her preferred school. We then define the following stability criterion for a set of assignments: a set of assignments is legal if and only if any assignment outside the set is blocked with some assignment in the set and no two assignments inside the set block each other. We show that under very basic conditions on priorities, there always exists a unique legal set of assignments, and that this set has a structure common to the set of stable assignments: (i) it is a lattice and (ii) it satisfies the rural hospitals theorem. The student-optimal legal assignment is efficient and provides a solution for the conflict between stability and efficiency.

We estimate production functions for cognition and health for children aged 1–12 in India, based on the Young Lives Survey. India has over 70 million children aged 0–5 who are at risk of developmental deficits. The inputs into the production functions include parental background, prior child cognition and health, and child investments, which are taken as endogenous. Estimation is based on a nonlinear factor model, based on multiple measurements for both inputs and child outcomes. Our results show an important effect of early health on child cognitive development, which then becomes persistent. Parental investments affect cognitive development at all ages, but more so for younger children. Investments also have an impact on health at early ages only.