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Affiliation Matrix: First 10 Rows, 104th U.S. House

Affiliation Matrix: First 10 Rows, 104th U.S. House

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We use bill cosponsorship and roll-call vote data to compare legislators' revealed preferences in the U.S. House of Representatives and the Argentine Chamber of Deputies. We estimate ideal points from bill cosponsorship data using principal-component analysis on an agreement matrix that included information on all bills introduced in the U.S. House...

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Context 1
... alternative approach we propose builds on social-network analysis. Rather than estimating parameters for each individual bill, social-network analysis commonly constructs an affiliation matrix (Table 2), with each cell indicating the number of times that each pair of legislators cosponsor legislation together. We do not use the original (two-mode) dataset, organized as an X = r × c matrix, with r = 1, 2 . . . ...
Context 2
... this affiliation matrix, the diagonal elements describe the total number of projects sponsored by each legislator and the off-diagonal elements describe the number of times that each pair of legislators cosponsors bills together. Table 2 provides the first ten rows and ten columns of an affiliation matrix for the 104th U.S. House. The table shows that there are very significant differ- ences in the total amount of legislation sponsored by each legislator, as well as noteworthy variations in the amount of legislation cospon- sored by each pair of legislators. ...

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