Project Grant 2520364
- This Project Grant award of $217,250 from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Trustees of Boston University supports a collaborative research project to develop new statistical methods for isolating the effects of changes in business and government policies and regulations. The key products and services to be delivered under this award include: (a) computationally simple methods for sharp identification of causal parameters, (b)...
- This Project Grant award of $194,675 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research to develop new econometric and statistical methods that allow researchers to draw valid conclusions from complex data in a variety of social, behavioral, and medical science settings. The key products and services to be delivered include: Developing a generally applicable reparameterization procedure for informative...
- This $309,960 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund a research project at the University of Chicago to improve the methodology for testing coefficients in linear regressions. The project will develop new test methods that are robust to assumptions about error term distributions and sample size, allowing for more precise coefficient estimates. This research aims to enhance decision-making,...
- The National Science Foundation awarded a $156,866 Project Grant to the University of Chicago under the Social, Behavioral, and Economic Sciences program. The grant will fund research developing new statistical and econometric methods for analyzing social network data. Specifically, the project aims to build methodology for incorporating high-dimensional and incomplete network data into empirical models. Researchers will create a nonparametric regression framework for networks and investigate...
- This $285,000 federal Project Grant award from the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical methods to guide economic and public policy decisions in rapidly changing environments. The research aims to build on recent advances in statistical decision theory, causal inference, and machine learning to create econometric models that can effectively inform evidence-based policymaking while...
- This National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $350,000 is funding a research project at the University of Chicago to investigate the role of networks in influencing the outcomes of interventions across various domains, such as education, marketing, and tax decisions. The project will focus on developing new randomized experimental methods and open-source software to enable robust inference of network effects and quantify...
- This $350,000 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support the development of new theory and methods for assessing the sensitivity of causal inferences to violations of underlying assumptions in quasi-experimental research designs. The research project aims to create a comprehensive suite of sensitivity analysis tools for popular causal inference techniques such as instrumental variables,...
- The National Science Foundation awarded a $221,000 project grant to the University of Chicago under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The three-year grant will support collaborative research examining heterogeneity, risk premia, and macroeconomic fluctuations. The funding will enable researchers to investigate how differences across economic agents impact asset prices and aggregate outcomes. Relevant contextual details include the program's goal of...
- This Project Grant award, provided by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, will fund a $428,460 research program at the University of Chicago to develop improved econometric methods for understanding earnings heterogeneity in matched employer-employee data and intergenerational mobility. The research program consists of three projects: 1) re-examining the role of firm heterogeneity, worker heterogeneity, worker...
- This $140,482 Project Grant awarded by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds research to develop a new methodology that can distinguish between research findings that are generalizable across populations, places, and time, versus those that are context-specific. The research aims to address the fundamental challenge of determining which experimental or observational results can be reliably generalized, in order to improve the...
The National Science Foundation awarded a $101,598 project grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Chicago. The grant funds the development of new statistical methods to help researchers, analysts, and policymakers isolate the effects of changes in business and government policies using observational data and natural experiments. Key objectives include: (a) creating computationally simple methods to precisely identify causal parameters, (b) developing good estimators for partially identified parameters, (c) deriving computationally reliable identifying restrictions, and (d) making these methodological advances publicly available through a code library. This collaborative research project aims to advance knowledge by unifying the frameworks for identification, counterfactual prediction, and specification analyses in potential outcome models.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $101.6k | 8/25/25 |