Showing 1 – 5 of 5 results.
Self-published
Code for: Childhood Housing and Adult Outcomes: A Between-Siblings Analysis of Housing Vouchers and Public Housing (ICPSR 151181)
Released/updated on: 2022-08-03
We create
a national-level longitudinal dataset to analyze how children’s participation
in public and voucher-assisted housing affects age 26 earnings and adult incarceration.
Naïve OLS estimates suggest that returns to subsidized housing participation
are negative, but that relationship is driven by household selection into
assisted housing. Household fixed-effects estimates indicate that additional
years of public housing increase earnings by 6.2% for females and 6.1% for
males, while voucher-assisted housing increases earnings by 4.8% for females
and 2.7% for males. Childhood participation in assisted housing also reduces
the likelihood of adult incarceration for all household race/ethnicity groups.
Self-published
Code for: The Impact of Unions on the Wage Distribution: Evidence from Higher Education (ICPSR 234261)
Released/updated on: 2026-03-25
We estimate the impact of unionization on the wage
distribution of Canadian university faculty using longitudinal administrative
data on salaries and exploiting the staggered rollout of unionization across
institutions. We find that unionization compressed salaries: wages at the
bottom of the unconditional distribution increased by roughly 10 percent while
wages at the top were unaffected. Our evidence suggests that these
distributional impacts were driven by the introduction of contractual salary
floors. We also estimate little impact of unionization on faculty employment.
Instead, our results suggest that the increase in universities’ wage bills was
financed by an increase in student enrollment.
Self-published
Data and code for: Bank Loan Monitoring, Distance and Delegation (ICPSR 188163)
Released/updated on: 2023-05-01
A body of literature shows that lenders grant less credit to borrowers who are geographically farther away. This literature assumes that physical distance increases the costs for the lender to monitor borrowers, thereby increasing informational frictions. However, we are aware of no studies that directly test this assumption. We use a proprietary database of detailed loan-level data and on-site inspection reports for a bank’s portfolio of construction loans to examine the relationship between distance and monitoring activity. We find that construction projects farther from the nearest bank branch are more intensely monitored by third-party inspectors contracted by the bank. We also find that projects farther from these third-party inspectors are subject to less intense monitoring. These results are consistent with the prediction that distance increases the informational opacity of borrowers, but also suggest that banks can at least partially offset these frictions through the delegation of monitoring to closer inspectors.
Self-published
ECIN Replication Package for "How Do Firms Respond to State Retirement Plan Mandates?" (ICPSR 208281)
Released/updated on: 2024-08-24
We investigate how state “Auto-IRA” mandates affect firm offerings of employer-sponsored retirement plans (ESRPs). These policies require firms without ESRPs to facilitate automatic employee contributions to state-created individual retirement accounts (IRAs). We find that these policies increase an individual’s probability of working for a firm with an ESRP by 6-9 percent and of being included in the ESRP by 8-13 percent. At the firm level, these policies increase the probability of offering an ESRP by 7 percent, the probability of establishing a new ESRP by 41-44 percent, and the number of ESRP participants by 6 percent.
Self-published
HIFLD OPEN FDIC Insured Banks (ICPSR 239128)
Released/updated on: 2025-10-23
Time period: 2019-02-01--2019-02-01
The Summary of Deposits data is presented as reported by the FDIC-insured institutions that have submitted the annual survey. Although every attempt has been made to ensure the reliability of the information contained herein, some inaccuracies may exist. For this reason, the FDIC neither assume responsibility for, nor certify to the accuracy of any of the reported data. Further, these data do not indicate approval or disapproval of any particular institution's performance and are not to be construed as a rating of any institution by federal regulators. Users are cautioned that any conclusions that they may draw from the Summary of Deposits data are their own and are not to be attributed to the federal regulators. In addition, a determination of competitiveness is only one of several assessment factors used by Federal agencies during the application review process. The branch office deposit information is obtained primarily through the annual surveys of deposits conducted by the Federal Deposit Insurance Corporation (FDIC). Note of caution: Longitude and latitude geo-coding may not always be at roof-top precision.