Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reducing bias in difference-in-differences models using entropy
  balancing   This paper illustrates the use of entropy balancing in
difference-in-differences analyses when pre-intervention outcome trends suggest
a possible violation of the parallel trends assumption. We describe a set of
assumptions under which weighting to balance intervention and comparison groups
on pre-intervention outcome trends leads to consistent
difference-in-differences estimates even when pre-intervention outcome trends
are not parallel. Simulated results verify that entropy balancing of
pre-intervention outcomes trends can remove bias when the parallel trends
assumption is not directly satisfied, and thus may enable researchers to use
difference-in-differences designs in a wider range of observational settings
than previously acknowledged.

37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
21
The categories of this paper are: adap-org
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
22
The categories of this paper are: chao-dyn
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
3
The categories of this paper are: physics
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
26
The categories of this paper are: bayes-an
23
The categories of this paper are: solv-int