Many asymptotic problems in econometrics can be formulated in terms of empirical processes; and some long-standing problems have been successfully attacked using such techniques. This research will explore the binary choice model and its generalizations by drawing on both empirical process theory and theory for convergence of experiments. Work on functional central limit theorems for dependent variables should also extend the applicability of this approach to a wider class of semiparametric models of great interest in econometrics. This research will produce advances in each of the fields of probability, statistics and econometrics.

Agency
National Science Foundation (NSF)
Institute
Division of Mathematical Sciences (DMS)
Application #
9102286
Program Officer
Stephen M. Samuels
Project Start
Project End
Budget Start
1991-07-01
Budget End
1994-12-31
Support Year
Fiscal Year
1991
Total Cost
$203,616
Indirect Cost
Name
Yale University
Department
Type
DUNS #
City
New Haven
State
CT
Country
United States
Zip Code
06520