Estimating Responsiveness Scores Using Rscore. (June 2017)

• Record Type: Journal Article
• Authors: Cerulli, Giovanni
• Is Part Of: Stata journal. Volume 17:Number 2(2017)
• Page Start: 422
• Page End: 441
• Publication Date: 2017-06
• Subjects: st0480 -- rscore -- responsiveness scores -- random-coefficient regression; Statistics -- Periodicals; Statistics -- Computer programs -- Periodicals; 001.422
• DOI: 10.1177/1536867X1701700210
• Languages: English
• ISSNs: 1536-867X

Abstract

Rscore computes unit-specific responsiveness scores using an iterated random-coefficient regression approach. The model fit byrscore considers a regression of a response variable y, that is, outcome, on a series of factors (or regressors)x, that is, varlist, by assuming a different reaction (or "responsiveness") of each unit to each factor contained inx. rscore allows for i) ranking units according to the obtained level of the responsiveness score; ii) detecting more influential factors in driving unit performance; and iii) studying the distribution (heterogeneity) of factors' responsiveness scores across units. Also, rscore offers useful graphical representation of results. We provide two illustrative applications of the model: the first is on a cross-section, and the second is on a longitudinal dataset.