The mobility of elite life scientists. Professional and personal determinants.

Autor/inn/en	Azoulay, Pierre; Ganguli, Ina; Graff Zivin, Joshua S.
Institution	National Bureau of Economic Research
Titel	The mobility of elite life scientists. Professional and personal determinants. Gefälligkeitsübersetzung: Die Mobilität naturwissenschaftlicher Eliten. Berufliche und persönliche Determinanten.
Quelle	Cambridge, Mass. (2016), 38 S. PDF als Volltext kostenfreie Datei Link als defekt meldenVerfügbarkeit
Reihe	NBER working paper. 21995
Sprache	englisch
Dokumenttyp	online; Monographie
DOI	10.3386/w21995
Schlagwörter	Mobilitätsbereitschaft; Sozialer Faktor; Familienstruktur; Forschungsförderung; Peer Group; Regionale Mobilität; Determinante; Elite; Soziales Netzwerk; Arbeitsproduktivität; Naturwissenschaftler; Akademiker; USA
Abstract	"As scientists' careers unfold, mobility can allow researchers to find environments where they are more productive and more effectively contribute to the generation of new knowledge. In this paper, we examine the determinants of mobility of elite academics within the life sciences, including individual productivity measures and for the first time, measures of the peer environment and family factors. Using a unique data set compiled from the career histories of 10,004 elite life scientists in the U.S., we paint a nuanced picture of mobility. Prolific scientists are more likely to move, but this impulse is constrained by recent NIH funding. The quality of peer environments both near and far is an additional factor that influences mobility decisions. Interestingly, we also identify a significant role for family structure. Scientists appear to be unwilling to move when their children are between the ages of 14-17, which is when US children are typically enrolled in middle school or high school. This suggests that even elite scientists find it costly to disrupt the social networks of their children and take these costs into account when making career decisions." (Author's abstract, IAB-Doku). Die Untersuchung enthält quantitative Daten. Forschungsmethode: empirisch-quantitativ; empirisch; Sekundäranalyse. Die Untersuchung bezieht sich auf den Zeitraum 1977 bis 2013.
Erfasst von	Institut für Arbeitsmarkt- und Berufsforschung, Nürnberg
Update	2016/3