The virgin non-parametric regression THE CHAD LINEAR REGRESSION With 20 data points, ends up Can be made asymptotically Computationally intensive, being published in top efficient just in а couple of

The virgin non-parametric regression
THE CHAD LINEAR REGRESSION
With 20 data points, ends up
Can be made asymptotically
Computationally intensive,
being published in top
efficient just in а couple of steps
Requires a tonne of observations
makes 2019 computers bleed
macroeconomic journals
for convergence
Gives a nice, clean
Does not have a clear
Works in one step
interpretation any
Heavily depends on
notion of efficient estimation
without
grandma can comprehend
hyper-parameters that
must be chosen optimally
Can be computed
analytically with
Constant partial effect
Even after estimation,
paper and pencil
across the entire support
partial effects require
Choice of hyper-parameters
extra computation
is orders of magnitude
more computational power
Is rarely used in applied
economic analysis
Does not have a
closed-form solution
Inference can be
Optimised to the Moon
done with one
instructions for inference
Impossible to find simple
and beyond in linear
subtraction and
algebra libraries
‘one division
Terribly inefficient, high-level
а toddier
implementations are slower
Most courses spend
Can hundreds
than Crysis on Pentium
hours just to get to
of regressors with ease
Parzen—Rozenblatt,
Nadaraya—Watson,
Dies a horrible death
OESS,
Built in every software
with 10
ressors from the
and the
stop
ackage that can
Lots of online tutorials
curse of dimensionality
апо!е numbers
about versatile
a
extensions
accessible to
Conditions
Implementations vary
Could not care less about
normality
3
widely in software,
same kernels have
error distribution, ends up
inners
estimator are
being normal anyway
different scaling
factors
Gives the same
hard to verify
consistent result in
Fails miserably in regions
No one bats an eye
STATA, SAS, SPSS,
of low densil
of
when parametric
Excel, and makeshift
explanatory variables
Behaves like a spoiled
assumptions
The support of explanatory
online ‘calculators’
brat at boundaries,
are violated
variables does not matter
Convergence so poor, has to be injected
requires correction
with parametric assumptions or index restrictions
Can account for arbitrary
functions
including
No questions asked with robust standard errors.
regressors,
Even bootstrapped confidence intervals are not trusted at first glance
remains analytical