ANNOUNCEMENT

NOBEL PRIZE 2026

This year's laureates, their fields, and the discoveries that earned them the prize.Live nowSee the winners
Moonbase
← Back to Awards
NSFDirectorate for Social, Behavioral and Economic Sciences

Conference: Conference on Econometrics and Mathematical Economics

Active
Institution
National Bureau of Economic Research Inc, MA
Principal investigator
Whitney K Newey
Funding
$400K
Duration
2024–2027
Open portfolio

Moonbase score

Still being scored

Abstract

The Conference on Econometrics and Mathematical Economics (CEME) holds a series of annual conferences on research issues in economic theory and statistical methods for the analysis of economic data. The purpose is to stimulate discussion and research in these areas, and to investigate the application of cutting edge mathematical, statistical, and computational techniques to economic research questions. The conferences focus on a variety of topics in statistical methods and economic theory. Each topic conference meets once each year. The conferences are broadly interdisciplinary, including researchers from mathematics, operations research, and computer science. They also facilitate communication between academic scholars and government economists, since the statistical methods covered are important for many government economists. There are special workshops aimed at young econometricians and young economic theorists. Conference locations include universities around the United States. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Research team

  • Whitney K NeweyPI
  • Chris ShannonCo-PI

LOADING MOONBASE SCORE

Directorate for Social, Behavioral and Economic SciencesEconomicsgovernmentstatisticalmathematicaleconomistseconomicsconferencesstatistical methodseconomic

Questions for National Bureau of Economic Research Inc

Answered by the team behind this research.

No questions yet. Sign in to ask the first one

Related grants

Same researchers, same institution, same topic, scored first.