Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Kernel-based semiparametric multinomial logit modelling of political
  party affiliation   Conventional, parametric multinomial logit models are in general not
sufficient for detecting the complex patterns voter profiles nowadays typically
exhibit. In this manuscript, we use a semiparametric multinomial logit model to
give a detailed analysis of the composition of a subsample of the German
electorate in 2006. Germany is a particularly strong case for more flexible
nonparametric approaches in this context, since due to the reunification and
the preceding different political histories the composition of the electorate
is very complex and nuanced. Our analysis reveals strong interactions of the
covariates age and income, and highly nonlinear shapes of the factor impacts
for each party's likelihood to be voted. Notably, we develop and provide a
smoothed likelihood estimator for semiparametric multinomial logit models,
which can be applied also in other application fields, such as, e.g.,
marketing.

6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
34
The categories of this paper are: chem-ph
37
The categories of this paper are: supr-con
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
35
The categories of this paper are: mtrl-th
0
The categories of this paper are: hep-ph
21
The categories of this paper are: adap-org
30
The categories of this paper are: q-alg
17
The categories of this paper are: q-fin
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom