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addressing some of Ben's comments
Signed-off-by: Nathaniel <NathanielF@users.noreply.github.com>
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docs/source/glossary.rst

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Endogenous Variable
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An endogenous variable is a variable in a regression equation such that the variable is correlated with the error term of the equation i.e. correlated with the outcome variable (in the system). This is a problem for OLS regression estimation techniques because endogeniety violates the assumptions of the Gauss Markov theorem.
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Local Average Treatment effect
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LATE
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Also known asthe complier average causal effect (CACE), is the effect of a treatment for subjects who comply with the experimental treatment assigned to their sample group. It is the quantity we're estimating in IV designs.
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Non-equivalent group designs
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NEGD
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A quasi-experimental design where units are assigned to conditions non-randomly, and not according to a running variable (see Regression discontinuity design). This can be problematic when assigning causal influence of the treatment - differences in outcomes between groups could be due to the treatment or due to differences in the group attributes themselves.
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Pretest-posttest design
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A quasi-experimental design where the treatment effect is estimated by comparing an outcome measure before and after treatment.
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Propensity scores
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An estimate of the probability of adopting a treatment status. Used in re-weighting schemes to balance observational data.
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Quasi-experiment
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An empirical comparison used to estimate the effects of a treatment where units are not assigned to conditions at random.
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2SLS
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An estimation technique for estimating the parameters of an IV regression. It takes its name from the fact that it uses two OLS regressions - a first and second stage.
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Propensity scores
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An estimate of the probability of adopting a treatment status. Used in re-weighting schemes to balance observational data.
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References

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