The ill-posedness of the nonparametric instrumental variable (NPIV) model leads to estimators that may suffer from poor statistical performance. In this paper, we explore the possibility of imposing ...

We consider the problem of nonparametric regression under shape constraints. The main examples include isotonic regression (with respect to any partial order), unimodal/convex regression, additive ...

Even if the data are distributed normally, nonparametric methods are often almost as powerful as parametric methods. Most nonparametric methods are based on taking the ranks of a variable and ...

Two forms of CoVaR have recently been introduced in the literature for measuring systemic risk, differing on whether or not the conditioning is on a set of measure zero. We focus on the former, and ...

Nonparametric: Methods that do not assume a fixed parametric form for the underlying distribution, allowing for greater model flexibility.

The conventional growth-accounting approach to estimating the sources of economic growth requires unrealistically strong assumptions about the competitiveness of factor markets and the form of the ...