Estimating responsiveness scores using rscore
Giovanni Cerulli
CNR-IRCrES
National Research Council of Italy
Institute for Research on Sustainable Economic Growth
Rome, Italy
[email protected]
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Abstract. rscore computes unit-specific responsiveness scores using an iterated
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 regressors) 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 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.
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Giovanni Cerulli
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rscore, responsiveness scores, random-coefficient regression
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