immigration

immi1

immi2

immi3

immi4

immi5

<p>These five datasets are part of a larger set of 10 multiply
  imputed data sets describing individual preferences toward immigration
  policy.  Imputation was performed via Amelia.</p>

datasets

A framework that brings together an abundance of common
statistical models found across packages into a unified interface, and
provides a common architecture for estimation and interpretation, as well
as bridging functions to absorb increasingly more models into the
package. Zelig allows each individual package, for each
statistical model, to be accessed by a common uniformly structured call and
set of arguments. Moreover, Zelig automates all the surrounding building
blocks of a statistical work-flow--procedures and algorithms that may be
essential to one user's application but which the original package
developer did not use in their own research and might not themselves
support. These include bootstrapping, jackknifing, and re-weighting of data.
In particular, Zelig automatically generates predicted and simulated
quantities of interest (such as relative risk ratios, average treatment
effects, first differences and predicted and expected values) to interpret
and visualize complex models.

James Honaker

Zelig

Everyone's Statistical Software

Christine Choirat

Christopher Gandrud

Kosuke Imai

Gary King

Olivia Lau

Robert Treacy

IQSS Harvard University

immigration function

<p>Each multiply-inputed data set consists of a table with 7 variables
  ("ipip", "wage1992", "prtyid",
  "ideol", "gender") and 2,485 observations.  For variable descriptions,
  please refer to Scheve and
  Slaugher, 2001.</p>

Format

Individual Preferences Over Immigration Policy — immigration

Individual Preferences Over Immigration Policy

immigration: Individual Preferences Over Immigration Policy

Description

Arguments

Format

References