Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Shape constrained kernel-weighted least squares: Application to
  production function estimation for Chilean manufacturing industries   In this paper we examine a novel way of imposing shape constraints on a local
polynomial kernel estimator. The proposed approach is referred to as Shape
Constrained Kernel-weighted Least Squares (SCKLS). We prove uniform consistency
of the SCKLS estimator with monotonicity and convexity/concavity constraints
and establish its convergence rate. The competitiveness of SCKLS is shown in a
comprehensive simulation study. Finally, we analyze Chilean manufacturing data
using the SCKLS estimator and quantify production in the plastics and wood
industries. The results show that exporting firms have significantly higher
productivity.

11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
5
The categories of this paper are: gr-qc
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
10
The categories of this paper are: q-bio