inspect.score {cosa}

Computes Regression Discontinuity Design Effects

Description

Computes Regression Discontinuity Design Effects (RDDE) either based on analytic deviations (up to second order with interactions), an empirical score variable, or simulation.

Usage

  inspect.score(score = NULL, p = NULL, cutoff = NULL,
              treat.lower = FALSE, order = 1, interaction = FALSE,
              mu = 0, sigma = 1, k1 = -Inf, k2 =  Inf,
              dists = "normal", sim = FALSE, ndraw = 1000, nsim = 1000)

Arguments

sim

logical; if TRUE results are based on simulation.

score

vector; score variable.

p

proportion of units in the treatment condition.

cutoff

decision threshold.

treat.lower

logical; if TRUE units below cutoff are treated.

order

integer >= 0; order of polynomial functional form specification for the score variable.

interaction

logical; if TRUE polynomial specification interacts with the treatment variable.

mu

mean of (uncentered) truncated normal - applies when score = NULL and dists = "normal".

sigma

standard deviation of (uncentered) truncated normal - applies when score = NULL and dists = "normal".

k1

left truncation point for (uncentered) empirical, truncated normal, or uniform distribution.

k2

right truncation point for (uncentered) empirical, truncated normal, or uniform distribution.

dists

char; type of distribution, "normal" or "uniform".

ndraw

number of draws - applies when sim = TRUE.

nsim

number of simulations - applies when sim = TRUE.

Value

parms

list; list of parameters used in the computation.

cutoff

decision threshold (computed if p is provided).

treat.lower

if TRUE units below cutoff are treated.

p

proportion of subjects treated (computed if cutoff is provided).

order

order of polynomial specification for the score variable.

interaction

if TRUE polynomial specification interacts with the treatment variable.

center

if TRUE the score variable is centered on the cutoff

rdde

regression discontinuity design effect.

Examples

  # based on an empirical score variable
  inspect.score(score = rnorm(10000), cutoff = 0)
  # based on analytic derivation
  inspect.score(cutoff = 0)
  # based on simulation
  inspect.score(sim = TRUE, cutoff = 0)