manifesto: German Manifesto Data

In kosukeimai/emIRT: EM Algorithms for Estimating Item Response Theory Models

Description

A word frequency matrix containing word frequencies from 25 German party manifestos between 1990-2005. Obtained from Slapin and Proksch AJPS paper, also used in Lo, Slapin and Proksch.

Usage

data(manifesto)

Value

manifesto

list, containing the following elements: data.manif Term-document matrix, formatted for input to ordIRT(). starts.manif Start values, formatted for input to ordIRT(). priors.manif Priors, formatted for input to ordIRT().

References

Jonathan Slapin and Sven-Oliver Proksch. 2009. “A Scaling Model for Estimating Time-Series Party Positions from Texts.” American Journal of Political Science 52(3), 705-722

James Lo, Jonathan Slapin, and Sven-Oliver Proksch. 2016. “Ideological Clarify in Multiparty Competition: A New Measure and Test Using Election Manifestos.” British Journal of Political Science, 1-20

Kosuke Imai, James Lo, and Jonathan Olmsted. “Fast Estimation of Ideal Points with Massive Data.” Working Paper available at http://imai.princeton.edu/research/fastideal.html.

See Also

'poisIRT'.

Examples

## Not run: 
## Load German Manifesto data
data(manifesto)

## Estimate variational Wordfish model
lout <- poisIRT(.rc = manifesto$data.manif,
		    i = 0:(ncol(manifesto$data.manif)-1),
		    NI=ncol(manifesto$data.manif),
                    .starts = manifesto$starts.manif,
                    .priors = manifesto$priors.manif,
                    .control = {list(
                        threads = 1,
                        verbose = TRUE,
                        thresh = 1e-6,
						maxit=1000
                        )})

## Positional Estimates for Parties
lout$means$x  

## End(Not run)

kosukeimai/emIRT documentation built on Feb. 19, 2022, 7:14 p.m.