Search Results
Working Paper
When should children start school?
Kindergarten-entrance-age effects are difficult to identify due to the nonrandom allocation of entrance-age and simultaneous relative-age effects. This paper presents evidence that instrumental variable frameworks do not identify age effects for the youngest children of a cohort using the results of statistical tests for essential heterogeneity in initial enrollment decisions. Restricting attention to the oldest children in a cohort yields a sample with quasirandom variation in entrance and relative ages. This variation is used to identify the parameters of education production functions in ...
Journal Article
Measuring Deaths from COVID-19
Medical data are new to the analyses and deliberations of Federal Reserve monetary policymakers, but such data are now of primary importance to policymakers who need to understand the virus’s trajectory to assess economic conditions and address the virus’s impacts on the economy. The number of deaths caused by COVID-19 is one key metric that is often referred to, but as with other COVID metrics, it is a challenge to measure accurately. We discuss the issues involved in measuring COVID-19 deaths and argue that the change in the number of directly observed COVID-19 deaths is the most ...
Working Paper
Can Landlords Be Paid to Stop Avoiding Voucher Tenants?
Despite being eligible for use in any neighborhood, housing choice vouchers tend to be redeemed in low-opportunity neighborhoods. This paper investigates whether landlord behavior contributes to this outcome by studying the recent expansion of neighborhood-based voucher limits in Washington, DC. We conduct two waves of a correspondence experiment: one before and one after the expansion. Landlords heavily penalize tenants who indicate a desire to pay by voucher. The voucher penalty is larger in high-rent neighborhoods, pushing voucher tenants to low-rent neighborhoods. We find no evidence that ...
Journal Article
The Racial Wealth Gap and Access to Opportunity Neighborhoods
Some Black households live in neighborhoods with lower incomes, as well as higher unemployment rates and lower educational attainment, than their own incomes might suggest, and this may impede their economic mobility. We investigate reasons for the neighborhood sorting patterns we observe and find that differences in financial factors such as income, wealth, or housing costs between Black and white households do not explain racial distributions across neighborhoods. Our findings suggest other factors are at work, including discrimination in the housing market, ongoing racial hostility, or ...
Working Paper
Covariates and causal effects: the problem of context
This paper is concerned with understanding how causal effects can be identified in past data and then used to predict the future in light of the problem of context, or the fact that treatment always influences the outcome variable in combination with covariates. Structuralist and experimentalist views of econometric methodology can be reconciled by adopting notation capable of distinguishing between effects independent of and dependent on context, or direct and net effects. By showing that identification of direct and net effects imposes distinct assumptions on selection into covariates ...
Working Paper
Opioids and the Labor Market
This paper studies the relationship between local opioid prescription rates and labor market outcomes for prime-age men and women between 2006 and 2016. We estimate the relationship at the most disaggregated level feasible in the American Community Survey in order to provide estimates that include rural areas that have, in some cases, seen particularly high prescription rates. Given the limited time period, it is particularly important to account for geographic variation in both short-term and long-term economic conditions. We estimate three panel models to control for evolving local economic ...
Working Paper
A distinction between causal effects in structural and rubin causal models
Structural Causal Models define causal effects in terms of a single Data Generating Process (DGP), and the Rubin Causal Model defines causal effects in terms of a model that can represent counterfactuals from many DGPs. Under these different definitions, notationally similar causal effects make distinct claims about the results of interventions to the system under investigation: Structural equations imply conditional independencies in the data that potential outcomes do not. One implication is that the DAG of a Rubin Causal Model is different from the DAG of a Structural Causal Model. Another ...
Journal Article
The Opioid Epidemic and the Labor Market
Drug overdoses now account for more deaths in the United States than traffic deaths or suicides, and most of the increase in overdose deaths since 2010 can be attributed to opioids--a class of drugs that includes both prescription pain relievers and illegal narcotics. We look at trends in drug use and overdose deaths to document how the opioid epidemic has evolved over time and to determine whether it could be large enough to impact the labor force.
Journal Article
Neighborhood Poverty and Quality in the Moving to Opportunity Experiment
Researchers suspect that some of the disparities that exist in such outcomes as health, employment, and education might be attributable to inequality of opportunity as determined by neighborhood environments. We study census data to identify neighborhood characteristics in addition to poverty that might help to explain these disparities. We focus on the Moving to Opportunity housing-relocation experiment and show that because program participants typically moved from one predominately black neighborhood to another, their new low-poverty neighborhoods may have provided little to no change in ...
Journal Article
What Is Behind the Persistence of the Racial Wealth Gap?
Most studies of the persistent gap in wealth between whites and blacks have investigated the large gap in income earned by the two groups. Those studies generally concluded that the wealth gap was ?too big? to be explained by differences in income. We study the issue using a different approach, capturing the dynamics of wealth accumulation over time. We find that the income gap is the primary driver behind the wealth gap and that it is large enough to explain the persistent difference in wealth accumulation. The key policy implication of our work is that policies designed to speed the closing ...