Example data from Laver Benoit and Garry (2003)
This is the example word count data from Laver, Benoit and Garry's (2000)
article on Wordscores. Documents R1 to R5 are assumed to have known
positions: -1.5, -0.75, 0, 0.75, 1.5. Document V1 is assumed unknown. The
`correct' position for V1 is presumed to be -0.45.
classic.wordscores generates approximately -0.45.
To replicate the analysis in the paper, use the wordscores function either with identification fixing the first 5 document positions and leaving position of V1 to be predicted.
Laver, Benoit and Garry (2003) `Estimating policy positions from political text using words as data' American Political Science Review 97(2).