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Differences in teachers鈥 efficiency: evidence for Spain


SEMINARIO DEL DOCTORADO DE ESTAD脥STICA, OPTIMIZACI脫N Y MATEM脕TICA APLICADA. CURSO 2016-2017

T铆tulo:聽Differences in teachers鈥 efficiency: evidence for Spain

Ponentes: Gabriela Sicilia (Universidad Aut贸noma de Madrid)

Fecha: Mi茅rcoles聽7 de junio de 2017 a las聽12:00 horas

Lugar: Sala de seminarios, Edificio Torretamarit, Universidad Miguel Hern谩ndez聽(Campus de Elche)

Resumen:

This research contributes to the ongoing debate about differences in teachers鈥 performance. We introduce a new methodology that combine production frontier and impact evaluation insights that allows using DEA as an identification strategy of a treatment with high and low quality teachers within schools to assess their performance. We use a unique database in Spain that supplies information on two classrooms at 4th grade in primary education, where students and teachers were randomly assigned into the two classrooms at each school. We find considerable differences in teachers鈥 efficiency across schools and also significant effects on students鈥 achievement. In line with previous findings, we find that neither teacher experience nor academic training explains teachers鈥 efficiency. Conversely, being a female teacher, having worked five or more years in the same school, repeating a second year with the same group or having smaller class sizes positively affects the efficiency of teachers.


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A Wald-type test statistic based on robust modified median estimator in logistic regression models


SEMINARIO DEL DOCTORADO DE ESTAD脥STICA, OPTIMIZACI脫N Y MATEM脕TICA APLICADA. CURSO 2016-2017

T铆tulo:聽A Wald-type test statistic based on robust modified median estimator in logistic regression models

Ponentes: Tom谩拧 Hobza (Czech Technical University in Prague)

Fecha: Lunes 5 de junio de 2017 a las聽12:00 horas

Lugar: Sala de seminarios, Edificio Torretamarit, Universidad Miguel Hern谩ndez聽(Campus de Elche)

Resumen:

This contribution deals with robust estimation and hypothesis testing in logistic regression models. It introduces a modified median estimator of the underlying parameters of these models based on statistically smoothed binary responses and gives its asymptotic distribution.

Using the modified median estimator, a Wald-type test statistic for testing linear hypotheses in the logistic regression model is also considered and its asymptotic distribution is obtained.

Sensitivity to contaminations and leverage points is studied by simulations and compared in this manner with the sensitivity of some robust estimators and tests previously introduced to the logistic regression. The new estimator and test based on it appears to be more robust for larger sample sizes and higher levels of contamination.

Key words:聽Logistic regression, Median estimator, Robustness, Wald-type tets.


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ANUNCIO: INTRODUCCI脫N AL DESARROLLO DE PAQUETES EN R


CURSO

T铆tulo: Introducci贸n al desarrollo de paquetes en R

Ponentes:

Virgilio G贸mez-Rubio (Universidad Castilla-La Mancha)

Fecha:聽11-12 julio 2017

Lugar:聽Facultad de CC de la Empresa.聽Universidad Polit茅cnica de Cartagena

Informaci贸n:

Cartel Taller R


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