Deadline: Wednesday, March 1, 2017 11am PT
Mechanisms and Policy Impacts
The Russell Sage Foundation (RSF), the principal American foundation devoted exclusively to research in the social sciences, seeks applications for research projects that deepen our understanding of intergenerational mobility by using recently released statistics on mobility from the Equality of Opportunity Project. In this call, we encourage proposals that provide new analyses of the mechanisms explaining geographic variation in economic mobility or the impacts of policies on economic mobility.
Based on Internal Revenue Service (IRS) administrative tax records on earnings for more than 40 million children and their parents, Chetty, Hendren, Kline, and Saez (2014) and Chetty and Hendren (2015) have recently made available new public use statistics on intergenerational mobility in the U.S., and the causal impacts of exposure to each county. Examples of the available statistics include:
- Panel data on child outcomes as a function of parents' earnings percentile by county and commuting zone. Estimates are available by gender and for a range of outcomes*:
a. College Attendance (1981 – 1988 cohorts)
b. Teen employment (1980 – 1993 cohorts)
c. Teen birth (1980 – 1988 cohorts)
d. Child income rank at age 26 (1980-86 cohorts)
e. Quintile transition matrices of parent and child income (age 26) by commuting zone (1980-1986 cohorts)
(* A small subset of this data is not yet available on the project website but will be available by the time the awards are announced.)
- Causal estimates of the impact of exposure to each county in the U.S. on income at age 26 (individual and family income), college attendance, and marriage. Estimates are available separately by gender. These estimate represent the causal impact of an additional year of exposure to a given county on the child’s outcomes in adulthood.
In addition, we encourage applicants to reference this page for additional data releases expected in the coming months.
Applicants from all of the social sciences are encouraged to submit proposals utilizing this new data resource (possibly in combination with other data sources). Examples of the types of research topics of interest include, but are not limited to, the following:
Impacts of policy changes on mobility using panel variation
The availability of panel data on intergenerational mobility makes it feasible to utilize a difference-in-difference design to potentially identify the causal effects of policies on intergenerational mobility. Is there a policy that was enacted in the sample frame that potentially had an impact on mobility (e.g. school policy, housing policy, etc.)? In work funded in the last call for proposals, Sharkey and Torrats-Espinosa (2016) utilized variation in federal grants administered through the Community Oriented Policing (COPS) office, established in1994, to identify the impact of police and crime on upward mobility. Proposals in this spirit that identify a policy change that differentially affected some geographic areas during the sample window are strongly encouraged. We also welcome proposals studying policies that affected only portions of the income distribution (e.g. those targeting the bottom of the distribution) and utilizing mobility outcomes for affluent families as either a placebo test or control group.
To facilitate a successful review of the plausibility of the research design, applications should clearly outline how the policy differentially affected geographic areas throughout the sample frame (cohorts 1980-1993) or income distribution.
Other plausibly exogenous local shocks may also allow for causal inferences about how local conditions affect economic mobility, and these types of analyses are also encouraged. Examples include changes in economic conditions that may be specific to a particular city’s or region's labor market, plant closings concentrated in a single county, changes in pollution levels in particular commuting zones, or even sharp changes in the political party in power within a particular state.
The spatial variation in mobility has remained relatively stable over the past 25-50 years, suggesting that the forces determining mobility have historical components. We welcome applications seeking to relate mobility today to historical institutions and factors. We also welcome applications exploiting geographic variation that may be explained through historical context. For example, why is mobility significantly better on the Arkansas side of the Mississippi River? Successful applications should not simply explore anecdotes, but rather develop a research design to identify the impact of the historical institutions and occurrences on mobility today.
Other Strategies to identify the impacts of policies on intergenerational mobility
We welcome proposals with plausible research designs that identify the impact of a policy change on intergenerational mobility. Applications should make clear how they plan to deal with the selection problems inherent in cross-sectional (and even panel) regressions, and will be judged on their likelihood of informing our understanding of the mechanisms that promote upward mobility.
Applicants can be doctoral students, postdoctoral fellows or faculty who received their Ph.D. or other terminal degree on or after August 31, 2009.
Accepted proposals will receive up to $20,000 in funding for a faculty project and up to $7,000 for a graduate student project. Applications may be submitted by teams of researchers. The maximum funding for a faculty (or faculty-graduate student team) project will be $20,000. If a graduate student project has multiple students, we will consider funding up to $14,000.
All awards will be for a 1-year project period, starting June 1, 2017. Grantees are expected to present findings at the Russell Sage Foundation in spring 2018 (see Research Conference section). The foundation expects to fund 5-7 proposals.
Funding can be used for partial summer salary support/stipend and research assistance, among other budget categories. In accordance with RSF policy, funds will not be provided for travel for collaboration purposes or dissemination/presentation of findings (conference travel) or for student tuition. No overheard or indirect costs will be provided on these small grants. Please refer to the RSF Budget Guidelines and the FAQs for more information.
Application Deadline and Guidelines
Complete applications must be emailed to firstname.lastname@example.org. Applications will be accepted through Wednesday, March 1, 2017, at 11am Pacific Time (PT). Late or incomplete applications will not be reviewed.
Applicants must submit (as separate files in one email):
- a concise (4 pages max., excluding references) single-spaced proposal describing their proposed work;
- a detailed budget (using the RSF template) and budget justification;
- up-to-date abbreviated CVs (5 pages max. per CV);
- a fiscal agent letter - a letter from the applicant’s institution stating that it will act as the fiscal agent (manage the funds and provide financial reports to the foundation) for the project should an award be made;
- students must also submit a letter of recommendation from their faculty advisor. Letters may be submitted by the applicant or sent separately by the faculty advisor.
Applicants should explore in detail the available data here and be specific in the proposed analysis, including which tables from the project they plan to use and any additional sources of data that will be required.
Research from accepted proposals will be presented at a one-day academic conference at RSF in spring 2018. The aim of the conference will be to focus on improving the quality of the research and also foster collaboration amongst early career researchers interested in intergenerational mobility. Grantees will be free to publish their research in their preferred outlet. The foundation will reimburse participants for reasonable travel expenses to attend the RSF conference; this expense should not be included in the project budget.
If you still have questions after reviewing the information, please contact Leana Chatrath, Program Officer, at email@example.com.