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DTSTART:20220327T010000
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DTSTART;TZID=Europe/Helsinki:20220111T121500
DTEND;TZID=Europe/Helsinki:20220111T133000
DTSTAMP:20260711T232000
CREATED:20211215T111213Z
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UID:13212-1641903300-1641907800@crest.science
SUMMARY:Per JOHANSSON (IFAU Uppsala)   - "Earnings Expectations and Educational Sorting: An Ex-Ante Perspective on Returns to University Education"
DESCRIPTION:Microeconometrics Seminar: Every Tuesday \nTime: 12:15 pm – 13:30 pm\nDate: 11th of January 2022\nen visio\n\nPer JOHANSSON (IFAU Uppsala)- “Earnings Expectations and Educational Sorting: An Ex-Ante Perspective on Returns to University Education”\n\nAbstract: We estimate means and distributions of ex-ante treatment effects for obtaining university education relative to high school. To achieve this\, we conducted a survey which elicited earnings expectations associated with counterfactual educational choices for a sample of high-school students in Stockholm. We find average ex-ante returns to university to be 36%\, with higher returns for females\, those with high SES backgrounds\, and high math scores. The returns vary considerably and are highest for those that choose university\, but also positive and sizable for those who do not. Our results imply that students sort into education based on their comparative advantage. Nevertheless\, our results suggest that an OLS estimator of the returns to university education should be expected to be quite similar to the average treatment on the treated effect for university education. Additionally\, we find evidence that the positive ex-ante earnings returns to high paying fields\, among those that do not choose these fields\, can (partly) be reconciled by individuals expecting to be compensated through higher non-pecuniary returns to those fields. \nOrganizers:\n\nBenoît SCHMUTZ (Pôle d’économie du CREST)\nAnthony STRITTMATTER (Pôle d’économie du CREST)\nSponsors:\nCREST \n\n
URL:https://crest.science/event/per-johansson-uppsalla-university-tba/
CATEGORIES:Applied Seminar,Economics,Microeconometrics,Seminars
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