Showing 1 - 10 of 122
Making use of performance data for baseball players, this article provides empirical evidence in support of Lazear's (1998) theoretical predictions that (1) risky workers will earn a premium for their upside potential, (2) this risk premium will be higher the longer a worker's work life, and (3)...
Persistent link: https://www.econbiz.de/10005781277
Persistent link: https://www.econbiz.de/10001841599
Persistent link: https://www.econbiz.de/10001228949
Persistent link: https://www.econbiz.de/10001595773
Persistent link: https://www.econbiz.de/10001791752
We use a unique panel of household survey data - the Austrian version of the European Union Statistics on Income and Living Conditions (SILC) for 2008-2011 - which have been linked to individual administrative records on both state unemployment benefits and earnings. We assess the extent and...
Persistent link: https://www.econbiz.de/10013468441
In empirical research it is common practice to use sensible rules of thumb for cleaning data. Measurement error is often the justification for removing (trimming) or recoding (winsorizing) observations whose values lie outside a specified range. We consider a general measurement error process...
Persistent link: https://www.econbiz.de/10010261852
This paper examines alternative forms of match bias arising from earnings imputation. Wage equation parameters are estimated based on mixed samples of workers who do and do not report earnings, the latter group being assigned earnings of donors who share some but not all the attributes of the...
Persistent link: https://www.econbiz.de/10010267423
Despite evidence that skilled labor is increasingly concentrated in cities, whether regional wage inequality is predominantly due to differences in skill levels or returns is unknown. We compare Appalachia, with its wide mix of urban and rural areas, to other parts of the U.S., and find that...
Persistent link: https://www.econbiz.de/10010271889
Earnings nonresponse in the Current Population Survey is roughly 30% in the monthly surveys and 20% in the annual March survey. Even if nonresponse is random, severe bias attaches to wage equation coefficient estimates on attributes not matched in the earnings imputation hot deck. If nonresponse...
Persistent link: https://www.econbiz.de/10010272532