Estimating responsiveness scores using rscore

Giovanni Cerulli

Stata Journal, 2017, vol. 17, issue 2, 422-441

Abstract: rscore computes unit-specific responsiveness scores using an iter- ated random-coefficient regression approach. The model fit by rscore considers a regression of a response variable y, that is, outcome, on a series of factors (or re- gressors) x, that is, varlist, by assuming a different reaction (or “responsiveness”) of each unit to each factor contained in x. rscore allows for i) ranking units according to the obtained level of the responsiveness score; ii) detecting more in- fluential 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.

Keywords: rscore; responsiveness scores; random-coefficient regression (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.stata-journal.com/article.html?article=st0480 link to article purchase
http://www.stata-journal.com/software/sj17-2/st0480/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tsj:stataj:v:17:y:2017:i:2:p:422-441

Ordering information: This journal article can be ordered from
http://www.stata-journal.com/subscription.html

Access Statistics for this article

Stata Journal is currently edited by Nicholas J. Cox and Stephen P. Jenkins

More articles in Stata Journal from StataCorp LLC
Bibliographic data for series maintained by Christopher F. Baum () and Lisa Gilmore ().