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Frey and colleagues outline 10 trends showing scale of America's demographic transitions

Starr says surveys intended to predict recidivism assign higher risk to poor

Prescott and colleagues find incidence of noncompetes in U.S. labor force varies by job, state, worker education

Highlights

ISR addition wins LEED Gold Certification

Call for Proposals: Small Grants for Research Using PSID Data. Due March 2, 2015

PSC Fall 2014 Newsletter now available

Martha Bailey and Nicolas Duquette win Cole Prize for article on War on Poverty

Next Brown Bag

Mon, March 9
Luigi Pistaferri, Consumption Inequality and Family Labor Supply

Recovering Event Histories by Cubic Spline Interpolation

Publication Abstract

Bergstrom, Theodore, and David Lam. 1989. "Recovering Event Histories by Cubic Spline Interpolation." Mathematical Population Studies, 1(4): 327-55.

If event history data are recorded in discrete intervals of time, errors are introduced when the data are converted from the unit in which they were recorded, such as date, to another unit such as age or duration. The problem is illustrated by the inconsistent general method for treating problems of this type using cubic spline interpolation. The method is used to adjust U.S. age at marriage schedules, explaining a substantial part of the discrepancy in the 1960 and 1970 censuses.

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