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...
Cornell University was awarded a $581,698 Project Grant from the National Science Foundation Division of Social and Economic Science under the Social, Behavioral, and Economic Sciences federal grant program (CFDA 47.075). The grant will support research to develop innovative statistical decision theory methods for policy evaluation. Specifically, Cornell researchers will use three projects to create new estimation and inference methods connecting statistical decision theory to economics and...
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,...
This $349,993 federal Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will advance the methodology and practical implementation of adaptive experiments. The 3-year project, which begins on September 1, 2024, will develop new statistical methods for sample size calculations and optimal treatment assignment in adaptive settings, establish a comprehensive framework to guide applied researchers in designing adaptive...
This NSF Social, Behavioral, and Economic Sciences (CFDA 47.075) Project Grant award of $572,000 to the National Bureau of Economic Research (NBER) will fund research to develop advanced computational methods for solving heterogeneous-agent macroeconomic models. The research will focus on expanding the capabilities of sequence-space methods to enable the analysis of models with diverse types of heterogeneity, such as location choice and firm-level differences. Key deliverables include new...
This $135,798 Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program funds collaborative research to develop flexible regression methods that can more accurately measure the economic impacts of climate change. The research aims to address limitations in existing approaches that do not adequately capture the effects of extreme temperatures on economic outcomes. The award supports the development of new statistical software and...
The National Science Foundation (NSF) Division of Social and Economic Science has awarded a $217,000 Project Grant to the National Bureau of Economic Research Inc. (NBER), a non-profit research organization, to conduct three research projects evaluating macroeconomic stabilization policy. The first project provides guidance to empirical macroeconomists on estimating the causal effects of policy interventions. The second project develops methods to predict how the U.S. economy would evolve...
The National Science Foundation (NSF) awarded a $130,886 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to the University of Missouri System to develop new econometric and statistical tools for identifying and estimating causal effects without relying on unrealistic assumptions. The 5-year research project, titled "HETEROGENEITY AND THE GENERAL CONTROL FUNCTION APPROACH TO ENDOGENEITY", will create alternative strategies for addressing...
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...
This $226,874 Project Grant awarded by the National Science Foundation (NSF) Social, Behavioral, and Economic Sciences (SBE) program (CFDA 47.075) will fund research to develop new statistical tools for modeling and analyzing dependent data. The project, to be conducted by Cornell University, will focus on advancing methods for handling data dependencies in areas such as local elections, inflation modeling, spatial patterns, and environmental monitoring data. The research aims to provide...