This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund the development of a granular spatial-equilibrium model to analyze the impact of local economic shocks on urban areas. The $107,388 award, with a performance period from August 1, 2024 to July 31, 2025, will support the creation of a framework that accounts for fine-grained spatial data on plant/office openings, commuting patterns, and land prices. This...
This five-year $243,609 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program will fund research at Princeton University to develop new econometric methods for studying heterogeneity in macroeconomics. The Principal Investigator will conduct four projects to 1) develop statistical procedures to visualize multi-dimensional cross-sectional heterogeneity across groups, 2) provide a causal reinterpretation of methods for estimating temporal...
The National Science Foundation awarded a $243,500 Project Grant to Princeton University under the Social, Behavioral, and Economic Sciences program (CFDA 47.075). The grant will fund collaborative research on heterogeneity, risk premia, and macroeconomic fluctuations from July 2021 through June 2024. The research aims to contribute to understanding how differences across economic agents impact asset prices and aggregate outcomes. As the awardee, Princeton University will oversee the research...
The National Science Foundation awarded a $138,000 two-year Project Grant to support a postdoctoral fellowship investigating the impact of urbanization on income inequality across U.S. cities. The grant was awarded under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) to promote basic research and education in the social, behavioral and economic sciences. The fellowship, beginning September 1, 2022 and ending August 31, 2024, will be conducted at Winter Hill, Massachusetts...
The Trustees of Princeton University was awarded a $195,000 Project Grant from the National Science Foundation on April 1, 2021 to complete work by March 31, 2024. The grant supports the collaborative research project "Honest and Robust Inference with High Dimensional Data" under the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075). This program aims to promote basic research and education in social, behavioral and economic sciences. The grant funding will allow...
The Trustees of Princeton University was awarded a three-year, $211,507 Project Grant from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) to conduct research towards a better understanding of logit type models with fixed effects from September 1, 2021 to August 31, 2024. The grant will support research at Princeton University aimed at advancing scientific knowledge of logit models, a type of statistical model frequently used in social science...
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 $121,153 Project Grant awarded by the National Science Foundation's (NSF) Division of Mathematical Sciences under the Mathematical and Physical Sciences (CFDA 47.049) program will support research to develop advanced statistical methods for analyzing complex spatial point process data. The key products and services to be delivered include: Developing nonparametric Bayesian models to reveal hidden spatial homogeneity and heterogeneity within and across univariate and multivariate spatial...
This $293,490 Project Grant was awarded by the National Science Foundation (NSF) Division of Social and Economic Sciences under the Social, Behavioral, and Economic Sciences program (CFDA# 47.075). The grant supports a multi-year research project conducted by the National Bureau of Economic Research Inc. (NBER), a non-profit research organization. The project aims to advance the understanding of economic development, social mobility, and social conflict. Key components include: Developing new...
This $301,719 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will fund research to develop flexible regression methods that can better measure the economic impacts of climate change. The research will focus on improving statistical techniques to accurately capture the effects of extreme temperature exposure on economic outcomes, which is critical for informing effective climate policy. The work will include...