How Do Applied Researchers Use the Causal Forest? A Methodological Review
International Statistical Review,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 12, 2025
Summary
This
methodological
review
examines
the
use
of
causal
forest
method
by
applied
researchers
across
133
peer‐reviewed
papers.
It
shows
that
emerging
best
practice
relies
heavily
on
approach
and
tools
created
original
authors
such
as
their
grf
package
approaches
given
them
in
examples.
Generally,
a
relatively
low‐dimensional
dataset
relying
observed
controls
or
some
cases
experiments
to
identify
effects.
There
are
several
common
ways
then
communicate
results–by
mapping
out
univariate
distribution
individual‐level
treatment
effect
estimates,
displaying
variable
importance
results
for
graphing
effects
covariates
important
either
theoretical
reasons
because
they
have
high
importance.
Some
deviations
from
this
interesting
deserve
further
development
use.
Others
unnecessary
even
harmful.
The
paper
concludes
reflecting
paths
future
research.
Language: Английский
What drives the relationship between digitalization and energy demand? Exploring heterogeneity in German manufacturing firms
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
369, P. 122317 - 122317
Published: Aug. 31, 2024
The
growing
use
of
information
and
communication
technologies
(ICT)
has
the
potential
to
increase
productivity
improve
energy
efficiency.
However,
digital
also
consume
energy,
resulting
in
a
complex
relationship
between
digitalization
demand
an
uncertain
net
effect.
To
steer
transformation
towards
sustainability,
it
is
crucial
understand
conditions
under
which
or
decrease
firm-level
consumption.
This
study
examines
drivers
this
relationship,
focusing
on
German
manufacturing
firms
leveraging
comprehensive
administrative
panel
data
from
2009
2017,
analyzed
using
Generalized
Random
Forest
algorithm.
Our
results
reveal
that
at
firm
level
heterogeneous.
we
find
more
frequently
increases
use,
mainly
driven
by
rise
electricity
lower
energy-intensive
industries
higher
markets
with
low
competition.
Smaller
structurally
weak
regions
show
consumption
growth
than
larger
economically
stronger
regions.
contributes
literature
non-parametric
method
identify
specific
external
characteristics
influence
impact
demand,
highlighting
need
for
carefully
designed
policies
achieve
climate
goals.
Language: Английский
Can “ Zero waste city” policy promote green technology? Evidence from econometrics and machine learning
Shenghao Bi,
No information about this author
Jianxiao Du,
No information about this author
Zhenjun Yan
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
370, P. 122895 - 122895
Published: Oct. 13, 2024
Language: Английский
Did crop diversity criterion from CAP green payments affect both economic and environmental farm performances? Quasi-experimental evidence from France
Thierno Bocar Diop,
No information about this author
Lionel Védrine
No information about this author
Ecological Economics,
Journal Year:
2024,
Volume and Issue:
227, P. 108405 - 108405
Published: Oct. 2, 2024
Language: Английский