We link information on the current earnings of college graduates from many cohorts to their high-school records, their detailed college records and their demographics to infer the impact of college major on earnings. We develop an estimator to handle the potential for non-response bias and identify non-response using an affinity measure -- the potential respondent's link to the organization conducting the survey. This technique is generally applicable for adjusting for unit non-response. In the model describing earnings, estimated using the identified (for non-response bias) selectivity adjustments, adjusted earnings differentials across college majors are less than half as large as unadjusted differentials and ten percent smaller than those that do not account for selective non-response.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
10809.
Length: Date of creation: Oct 2004 Date of revision: Handle: RePEc:nbr:nberwo:10809
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Find related papers by JEL classification: J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
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