开始:VCALENDAR版本:2.0 PRODID: / /学院Labor Economics//Zope//EN METHOD:PUBLISH CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Europe/Berlin BEGIN:DAYLIGHT TZOFFSETFROM:+0100 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU DTSTART:19810329T020000 TZNAME:CEST TZOFFSETTO:+0200 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU DTSTART:19961027T030000 TZNAME:CET TZOFFSETTO:+0100 END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:7441085436000@conference.iza.org LOCATION;CHARSET=UTF-8: DESCRIPTION:Several analysts have identified "sheepskin effects" by exploiting data sources that measure workers' highest grade completed (S) and their degree status (D). The conditional degree effect estimated with these data is larger than the indirect effect inferred from nonlinearities in the relationship between S and wages. In this study, we ask how to interpret the range of estimated sheepskin effects that arise from different model specifications. We begin with the observation that conditional sheepskin effects are identified because S and D vary independently; this variation might be the outcome of individuals' schooling decisions, or it might be purely due to measurement error. We demonstrate how sheepskin effects are expected to change as we alter the parameterization of the wage model and the source of variation in the data. We then estimate a number of wage models using data from the 1979 National Longitudinal Survey of Youth to assess the actual sensitivity of estimated sheepskin effects to functional form, measurement error, and other factors. SEQUENCE:1 X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC SUMMARY:IZA Seminar: Identifying Sheepskin Effects in the Returns to Education by Audrey Light (Ohio State University) DTSTART;TZID=Europe/Berlin:20040525T000000 DTEND;TZID=Europe/Berlin:T000000 END:VEVENT END:VCALENDAR