Maintaining (locus of) control? Data combination for the identification and inference of factor structure models.

Autor/inn/en	Piatek, Rémi; Pinger, Pia
Titel	Maintaining (locus of) control? Data combination for the identification and inference of factor structure models. Gefälligkeitsübersetzung: Die Kontroll(überzeugung) behalten? Datenkombination für die Identifikation und Inferenz von Faktorenstrukturmodellen.
Quelle	In: Journal of applied econometrics, 31 (2016) 4, S. 734-755 PDF als Volltext Link als defekt meldenVerfügbarkeit
Sprache	englisch
Dokumenttyp	online; gedruckt; Zeitschriftenaufsatz
ISSN	0883-7252; 1099-1255
DOI	10.1002/jae.2456
Schlagwörter	Empirische Forschung; Faktorenanalyse; Längsschnittuntersuchung; Bildungsniveau; Sozioökonomisches Panel; Persönlichkeitsmerkmal; Selbstverantwortung; Datengewinnung; Einkommenseffekt; Auswirkung; Daten; Fusion
Abstract	"Factor structure models are widely used in economics to extract latent variables, such as personality traits, and to measure their impact on outcomes of interest. The identification and inference of these models, however, highly depend on the availability of rich longitudinal data. To overcome the common problem of data scarcity, this paper proposes to combine datasets that each identify some part of the likelihood, thereby recovering the identification of the complete model. The performance of the approach is demonstrated by a Monte Carlo experiment. We apply this technique empirically to study the impact of locus of control on education and wages. Our strategy allows us to elicit the distribution of pre-market locus of control from a sample of young individuals, and to measure its impact on education and wages in a sample of adults. Our findings indicate that the effect of locus of control on wages mainly operates through education." (Author's abstract, Published by arrangement with John Wiley & Sons).
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2017/1