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 10,051 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. 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, and this appears to be more pronounced for mothers than fathers. These results suggest that elite scientists find it costly to disrupt the social networks of their children during adolescence and take these costs into account when making career decisions.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Ukraine, the second largest country in the former Soviet bloc, is facing the challenge of rallying popular support for major structural reforms. As in most developing economies, the "Orange Revolution" government's success will depend on its ability to keep income distribution within an acceptable range. This paper is the first to make use of recent methodological developments in Lemieux's (2002) decomposition method to advance our understanding of the determinants of wage inequality in developing and transition economies. With an eye toward future policy, we apply this approach to the first large longitudinal micro data set for Ukraine -the Ukrainian Longitudinal Monitoring Survey (ULMS) -to determine the extent to which the introduction of markets and new institutions affected men's and women's wage inequality between 1986 and 2003. We find that wage inequality rises substantially for both men and women. Applying the Lemieux method, we show that market forces drive the increase in inequality through changes in wage premiums, but the changes in the composition of the labor force (selection) generally contribute to a reduction in wage inequality; the exception is that changes in women's labor composition contribute to an increase in inequality in the top half of their wage distribution. Finally, changes in unobservable characteristics work toward increasing inequality for both men and women. The institution of the minimum wage plays an important role in lowering the growth in inequality, more for women than for men. Going forward, if the government wants to ameliorate the effects of market forces on wage inequality, it should recognize the importance of maintaining the value of, and compliance with, the minimum wage.
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D I S C U S S I O N P A P E R S E R I E SJEL Classification: C14, I2, J16
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