In applied quantitative work we are often concerned to be flexible as possible about the exact functional form of the relationships find in our data. However, we may still wish our estimated models to respect prior information, or the requirements of economic theory.
This workshop will discuss new work on the estimation of nonparametric statistical models under restrictions.
Topics will include the nonparametric estimation of demand functions under symmetry and homogeneity, the nonparametric estimation of production functions and nonparametric methods for the analysis of consumers preferences for product attributes under integrability.