9707771 Hamilton This project develops new tests of whether an economic relation his nonlinear and a new method for choosing a particular nonlinear specification to use to describe the data. The idea is to view the underlying relation as the outcome of a latent Brownian field. The population parameters of this latent field are estimated by maximum likelihood. Once its probability law has been specified, optimal inferences about the underlying relation can be obtained. Potential economic applications include arriving at a better statistical description and understanding of business cycles, modeling the effects of oil shocks, analyzing how monetary policy affects the economy, and studying the convergence of income levels across different countries. ??

Agency
National Science Foundation (NSF)
Institute
Division of Social and Economic Sciences (SES)
Application #
9707771
Program Officer
Daniel H. Newlon
Project Start
Project End
Budget Start
1997-07-01
Budget End
2000-06-30
Support Year
Fiscal Year
1997
Total Cost
$185,029
Indirect Cost
Name
University of California San Diego
Department
Type
DUNS #
City
La Jolla
State
CA
Country
United States
Zip Code
92093