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GerberGreenImai

Gerber and Green Dataset used by Imai


Description

This is the dataset used by Imai (2005) to replicate and evaluate the field experiment done by Gerber and Green (2000). The accompanying demo replicates Imai's propensity score model which is then used to estimate the causal effect of get-out-the-vote telephone calls on turnout.

Usage

data(GerberGreenImai)

Format

A data frame with 10829 observations on the following 26 variables.

PERSONS

Number persons in household

WARD

Ward of residence

QUESTION

Asked to commit to voting

MAILGRP

Sent mail

PHONEGRP

Phone batch \#1

PERSNGRP

Personal contact attempted

APPEAL

Content of message

CONTACT

Personal contact occurred

MAILINGS

Number of mailings sent

AGE

Age of respondent

MAJORPTY

Democratic or Republican

VOTE96.0

Abstained in 1996

VOTE96.1

Voted in 1996

MAILCALL

Phone batch \#2

VOTED98

Voted in 1998

PHNSCRPT

Script read to phone respondents

DIS.MC

Contacted by phone in batch \#2

DIS.PHN

Contacted by phone in batch \#1

PHN.C

Contacted by phone

PHNTRT1

Phone contact attempted (no blood or blood/civic)

PHNTRT2

Phone contact attempted (no blood)

PHN.C1

Contact occurred in phntrt1

PHN.C2

Contact occurred in phntrt2

NEW

New voter

phone

Contacted by phone

AGE2

Age squared

Details

The demo provided, entitled GerberGreenImai, uses Imai's propensity score model to estimate the causal effect of get-out-the-vote telephone calls on turnout. The propensity score model fails to balance age.

References

Gerber, Alan S. and Donald P. Green. 2000. “The Effects of Canvassing, Telephone Calls, and Direct Mail on Voter Turnout: A Field Experiment.” American Political Science Review 94: 653-663.

Gerber, Alan S. and Donald P. Green. 2005. “Correction to Gerber and Green (2000), replication of disputed findings, and reply to Imai (2005).” American Political Science Review 99: 301-313.

Imai, Kosuke. 2005. “Do Get-Out-The-Vote Calls Reduce Turnout? The Importance of Statistical Methods for Field Experiments.” American Political Science Review 99: 283-300.

Hansen, Ben B. Hansen and Jake Bowers. forthcoming. “Attributing Effects to a Cluster Randomized Get-Out-The-Vote Campaign.” Journal of the American Statistical Association.

See Also


Matching

Multivariate and Propensity Score Matching with Balance Optimization

v4.10-2
GPL-3
Authors
Jasjeet Singh Sekhon [aut, cre], Theo Saarinen [aut]
Initial release
2022-04-13

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