2023 WiscRDC Small Grant Competition
Request for Proposals: deadline 03/31/2023
The WiscRDC (https://rdc.wisc.edu/) is pleased to announce a grant competition to support 4–6 projects using data at WiscRDC. This competition is supported by the University of Wisconsin–Madison Office of the Vice Chancellor for Research and Graduate Education (OVCRGE) with funding from the Wisconsin Alumni Research Foundation (WARF).
Proposals on all topics are invited, as long as the proposal uses data available at WiscRDC.
All graduate students, faculty, and researchers on all UW campuses are invited to apply. Grants can be single– or multi–investigator.
Grants will range in value from $15–45K, depending on the proposed duration of the project (regular access fee to WiscRDC is $15K per project per year). Awarded funds will be paid directly to WiscRDC in the form of access fee.
By 03/31/2023, please submit to Dr. Yang Wang (email@example.com) your CV and a 2–3 page proposal that contains:
- Specific Aims
- Data, including details on which datasets at WiscRDC will be used
In the subject line, please include your name and “Proposal for WiscRDC Small Grant”.
Proposals will be evaluated for
- Use of WiscRDC data
- Potential impact of research
- Probability of continued use of WiscRDC data in future projects
- Credentials of investigators.
Early investigators and researchers who are new to WiscRDC are particularly encouraged to apply.
Notice of Final Decision
Final decisions will be made by 05/31/2023
The Annual Integrated Economic Survey (AIES) is a re-engineered survey designed to integrate and replace seven existing annual business surveys into a streamlined single survey instrument. It is designed to be easier for businesses to complete, result in better and more timely data, and allow the Census Bureau to operate more efficiently to reduce costs. The AIES will provide key yearly measures of economic activity including the only comprehensive national and subnational data on business revenues, expenses, and assets on an annual basis. We plan to conduct the AIES annually, starting in 2024.
The existing surveys integrated into the AIES include:
- Annual Retail Trade Survey (ARTS)
- Annual Wholesale Trade Survey (AWTS)
- Service Annual Survey (SAS)
- Annual Survey of Manufactures (ASM)
- Annual Capital Expenditures Survey (ACES)
- Manufacturers’ Unfilled Orders Survey (M3UFO)
- Report of Organization (COS).
It is a company-based survey that:
- Covers domestic, nonfarm employer businesses with operations during the survey year.
- Samples approximately 380,000 small, medium, and large companies.
- Includes most industries across the economy; and
- Spans most geographic areas of the United States, including all 50 states and the District of Columbia.
Annual Integrated Economic Survey (census.gov)
Please join us on November 30th at 1:00 PM ET for the next presentation in the FSRDC Presentation Series. Nicolas Ziebarth from Auburn will be presenting his work, coauthored with Chris Vickers, titled The Effects of the National War Labor Board on Labor Income Inequality.
Webinar/Access number (if needed):
2762 004 4359
Webinar password (if needed):
Thanks you and I look forward to seeing you at Nicolas’ presentation.
This new web site provides an entry portal for discovery of restricted data in the Federal Statistical Research Data Centers system.
Through the portal, FSRDC partner agencies provide detailed descriptions of each data asset. Users can search for data by topic, agency, and keywords. In late 2022, the portal will also serve as the starting point for a single-application process for use of FSRDC data. Contact details for each owning agency is also provided so researchers know where to direct more detailed questions.
ResearchDataGov.org was created by the partnered federal statistical agencies in response to the Foundations of Evidence-based Policymaking Act of 2018. Additional information about non-public data available through various FSRDC agency partners can be found here:
September 23: The first in-person FSRDC Research Conference in three years will
be held on Friday, Sept. 23 at the Kansas City RDC. Registration and hotel information
can be found here. Registration deadline is August 26.
The Effect of Flexner-Era Medical School Closures on Physician Geographic Distribution and Population Health
Ethan Schmick, Marquette University
Abstract This paper studies the impact of Flexner Era (1905-1915) medical school closures on physicians per capita and mortality. The Flexner Era was characterized by an increase in medical school standards and saw the number of medical schools in the United States decline by 40%, due to closures and mergers. The Flexner Era culminated with the release of the Flexner Report (1910), which recommended the closure of all but 28 medical schools in the United States. We begin by documenting the time-path of physician concentration at the county-level from 1900-2020. To do this we make use of publicly available full-count U.S. Census data from 1900-1940 and restricted access long-form Census and ACS data from 1950-2020. We next construct a measure of how impacted each county was by Flexner Era medical school closures based on proximity to closures and the number of graduates from closed schools. Our results indicate that counties more impacted by school closures had relatively fewer physicians per capita in the post-Flexner Era – a result that persisted until at least 1940. We plan to extend this analysis to 2020 using the restricted access Census data to determine if these results persisted into the modern era. We also plan to examine how the decrease in physician concentration resulting from Flexner-era school closures impacted population health by studying mortality. This research might speak to the historical origins of the current physician shortage for underserved areas and people and furthers our understanding of the relationship between health care providers and population health.
Here’s a helpful presentation by Rachelle Hill, Administrator of the MN RDC and Catherine Fitch, Associate Director of ISRDI, UMN. Rachelle provides an overview of RDC data and the proposal process. Three researchers also talk about their experiences using the RDC.
Data Access and the FSRDC – YouTube
Meghan Jenkins Morales recently started a project entitled HUD Rental Assistance and Healthy Aging in the Current Long-Term Care Landscape.
Abstract In the United States, population aging is coinciding with a growing affordable housing crisis. The Department of Housing and Urban Development (HUD) provides rental assistance to roughly 1.6 million older adults, but assistance falls substantially short of demand with only 33% of income eligible older households receiving assistance. Given the scope and importance of HUD rental assistance programs in the US, it is surprising how little we know about the health and long-term care (LTC) needs of older HUD renters. Recent studies have found that HUD rental assistance is associated with improved self-rated health, psychological well-being (Fenelon et al., 2017), and healthcare access (Simon, Fenelon, Helms, Lloyd, & Rossen, 2017), but these studies either do not include or do not specifically examine these effects among older adults. To address this gap in the literature, this project will examine if receiving HUD rental assistance promotes healthy aging. Data on low-income renters age 60 and older from 18 years (1999-2016) of pooled cross-sectional NHIS-HUD data will be used to describe and compare the health/functioning, healthcare access/use, and adverse health events experienced by older HUD renters compared to unassisted low-income older renters (Aim 1). Multivariate regression models will also be used to examine healthy aging outcomes among older renters currently living in HUD housing, compared to older renters who will enter HUD housing within two years, the average HUD waitlist duration (Aim 2). This “pseudo waitlist” control group method (comparing concurrent to future HUD recipients) accounts for selection into HUD assistance, a common limitation of prior work. The results of this project will help improve services to older HUD renters and inform the development of service systems that integrate housing and health
Madeline Reed recently started a project entitled. The Liquidity Sensitivity of Out-of-Pocket Health Care Expenditure: Effects from the Earned Income Tax Credit
Abstract: Out-of-pocket costs have grown dramatically in the last decade, contributing to households having to devote a greater share of their income to health care. Even among households with coverage through their employer, delaying of care due to cost is common. Health plans with deductibles have steep spot prices for cost-sharing early in coverage periods, which may drive individuals who are not financially prepared to defer expenses until they have the money to pay. This study uses monthly medical expenditures from 2011 to 2016 to answer the research question: Is there an association between increased income and health care utilization among individuals in private health plans? This research investigates how access to liquidity effects the timing of health care use among individuals with different deductible plans
Florence Honore started a new project entitled: Management and Organizational Practices, Business Dynamism, Employee Sorting, and Entrepreneurship
We anchor our project on the intersection of the literature on management and organizational practices and on entrepreneurship. We will focus on three main research questions: how do management and organizational practices relate to the rate and direction of entrepreneurial spinouts generated from an establishment? How do organizational practices influence the extent to which firms attract or lose employees, as well as the characteristics of employees who join and depart an establishment? How does early employees’ industry experience affect the managerial practices adopted by new establishments? How long does this effect persist? Answering these research questions will contribute to the debate on the drivers of business dynamism and it should lead to a much better understanding of why it may be changing over time and what the prospects for the future are. Furthermore, the study will improve our understanding of why employees decide to found new firms, and, more broadly, the relationship between management at incumbent firms and the rate and direction of entrepreneurial activity. Finally, the study will improve our understanding of how early employees affect the adoption of managerial practices in new establishments. Our primary data sources for the three research questions will be the LEHD, the LBD, the BRB, the ASM, the CM and the MOPS survey.