Estimating the Proportion of a Categorical Variable with Probit Regression

Autor/inn/en	Martínez, Sergio; Rueda, Maria; Arcos, Antonio; Martínez, Helena
Titel	Estimating the Proportion of a Categorical Variable with Probit Regression
Quelle	In: Sociological Methods & Research, 49 (2020) 3, S.809-834 (26 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0049-1241
DOI	10.1177/0049124118761771
Schlagwörter	Computation; Regression (Statistics); Statistical Analysis; Population Groups; Sampling; Surveys; Foreign Countries; Immigration; Communicable Diseases; Mexico; Spain + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Statistische Analyse; Survey; Umfrage; Befragung; Ausland; Contagious disease; Contagious diseases; Communicable disease; Infektionskrankheit; Mexiko; Spanien
Abstract	This article discusses the estimation of a population proportion, using the auxiliary information available, which is incorporated into the estimation procedure by a probit model fit. Three probit regression estimators are considered, using model-based and model-assisted approaches. The theoretical properties of the proposed estimators are derived and discussed. Monte Carlo experiments were carried out for simulated data and for real data taken from a database of confirmed dengue cases in Mexico. The probit estimates give valuable results in comparison to alternative estimators. Finally, the proposed methodology is applied to data obtained from an immigration survey. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01