Estimating responsiveness scores using rscore

• Autores: G. Cerulli
• Localización: The Stata journal, ISSN 1536-867X, Vol. 17, Nº. 2, 2017, págs. 422-441
• Idioma: inglés
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• Resumen

  • 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.