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Call for papers: Conference on computational social science, April 2017, U-M

Sioban Harlow honored with 2017 Sarah Goddard Power Award for commitment to women's health

Post-doc fellowship in computational social science for summer or fall 2017, U-Penn

ICPSR Summer Program scholarships to support training in statistics, quantitative methods, research design, and data analysis

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Mon, Feb 13, 2017, noon:
Daniel Almirall, "Getting SMART about adaptive interventions"

A Dynamic Model of Teacher Labor Supply

Publication Abstract

Stinebrickner, Todd R. 2001. "A Dynamic Model of Teacher Labor Supply." Journal of Labor Economics, 19(1): 196-230.

The labor supply decisions of certified elementary and high school teachers are examined using data from a general longitudinal survey. A significant decrease in the teaching participation rate takes place over time after teacher certification. Previously unavailable marital and fertility variables provide new insight into reasons for this decrease. Descriptive statistics indicate that high-ability teachers choose to teach a smaller proportion of time than other teachers. A dynamic, discrete-choice model, which accommodates Serial Correlation in the wage process for teachers, is used to analyze responsiveness of the overall sample and different types of teachers to two potential types of wage increases.

Dataset(s): labor force

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