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11 March 2013
App Stats: Chamberlain on "Predictive Effects of Teachers and Schools on Test Scores, College Attendance, and Earnings"
We hope you can join us this Wednesday, March 13, 2013 for the Applied Statistics Workshop. Gary Chamberlain, Louis Berkman Professor of Economics from the Department of Economics at Harvard University, will give a presentation entitled "Predictive Effects of Teachers and Schools on Test Scores, College Attendance, and Earnings". A light lunch will be served at 12 pm and the talk will begin at 12.15.
"Predictive Effects of Teachers and Schools on Test Scores, College Attendance, and Earnings"
Gary Chamberlain
Department of Economics, Harvard University
CGIS K354 (1737 Cambridge St.)
Wednesday, March 13, 2013 12.00 pm
Abstract:
I study predictive effects of teachers and schools on test scores in fourth through eighth grade and outcomes later in life such as college attendance and earnings. The predictive effects have the following form: predict the fraction of a classroom attending college at age 20 given the test score for a different classroom in the same school with the same teacher, and given the test score for a classroom in the same school with a different teacher. I would like to have predictive effects that condition on averages over many classrooms, with and without the same teacher. I set up a factor model which, under certain assumptions, makes this feasible. Administrative school district data n combination with tax data were used to calculate estimates and do inference.
Posted by Konstantin Kashin at March 11, 2013 4:14 AM