Dear all,
Please join us for the last Applied Statistics Workshop (Gov 3009) of the
semester this Wednesday, November 30 from 12.00 - 1.30 pm in CGIS Knafel
Room 354. John Friedman, Assistant Professor of Public Policy at the
Harvard Kennedy School, will give a presentation entitled "The Long-Term
Impacts of Teachers: Teacher Value-Added and Students' Outcomes in
Adulthood". As always, a light lunch will be provided.
Abstract:
*The use of test-score-based "value-added" (VA) measures to evaluate
teachers is controversial, among other reasons, because (1) there is little
evidence on whether high VA teachers improve student outcomes in adulthood
and (2) there is debate about whether VA measures provide unbiased
estimates of teacher quality. We address these issues by analyzing school
district data from grades 3-8 for 2.5 million children linked to data on
parents and adult outcomes from tax records. We find that the degree of
bias due to selection is small using tests based on previously unobserved
parent characteristics and a new quasi-experimental research design based
on changes in teaching staff. We then show that high VA teachers increase
their students' probability of college attendance, raise earnings, reduce
teenage birth rates, and improve the quality of the neighborhood in which
their students live in adulthood. The impacts of teacher VA are roughly
constant across grades 4-8. A one standard deviation improvement in teacher
VA in a single grade raises earnings by 1% at age 28. Replacing a teacher
whose VA is in the bottom 5% with an average teacher would increase
students' lifetime income by approximately $300,000 for the average
classroom in our sample.*
An up-to-date schedule for the workshop is available at
http://www.iq.harvard.edu/events/node/1208.
Best,
Konstantin
--
Konstantin Kashin
Ph.D. Student in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site: http://people.fas.harvard.edu/~kkashin/
Dear all,
The Applied Statistics Workshop will not be meeting this Wednesday,
November 23 due to the holiday. Please join us the following week, on
Wednesday Nov. 30, for the last session of the semester.
I hope everyone has a great Thanksgiving break!
Best,
Konstantin
--
Konstantin Kashin
Ph.D. Student in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site: http://people.fas.harvard.edu/~kkashin/
Dear all,
Please join us for the Applied Statistics Workshop (Gov 3009) this
Wednesday, November 16 from 12.00 - 1.30 pm in CGIS Knafel Room 354. Hiram
Beltrán-Sánchez, a postdoctoral research fellow at the USC Davis School of
Gerontology and at the Harvard Center for Population and Development
Studies, will give a talk entitled "New Evidence Linking Early and
Late-life Mortality in European Cohorts". As always, a light lunch will be
provided.
Abstract:
*Early environmental influences on later life health and mortality are well
recognized. Using mortality data from 630 cohorts born throughout the 19th
and early 20th century in nine European countries, we fitted a multilevel
model to further explore the association between early life mortality with
both the estimated mortality level at age 40 and the exponential (Gompertz)
acceleration in mortality rates with age. Our findings strongly link early
life mortality to both the cohort mortality level in mid-adulthood and the
Gompertz rate of mortality acceleration during aging. Recent cohorts
exposed to lower mortality environments early in life also showed lower
mortality levels in adulthood. However, these gains were diminished by
faster mortality accelerations at older age. Thus recent increases in adult
survival are mainly due to declines in adult mortality levels rather than
changes in the rate of aging. This analysis defines new links in the
developmental origins of adult health and disease in which effects of early
exposure to infections persist to adulthood and remain evident in the
cohort rates of mortality at later ages.*
An up-to-date schedule for the workshop is available at
http://www.iq.harvard.edu/events/node/1208.
Best,
Konstantin
--
Konstantin Kashin
Ph.D. Student in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site: http://people.fas.harvard.edu/~kkashin/
Dear all,
Please join us for the Applied Statistics Workshop (Gov 3009) this
Wednesday, November 9 from 12.00 - 1.30 pm in CGIS Knafel Room 354. Tyler
VanderWeele, Associate Professor of Epidemiology at the Harvard School of
Public Health, will give a presentation entitled "Sensitivity Analysis for
Contagion Effects in Social Networks". As always, a light lunch will be
provided.
The paper is available here
<http://smr.sagepub.com/content/40/2/240.short>and the abstract is:
*Analyses of social network data have suggested that obesity, smoking,
happiness, and loneliness all travel through social networks. Individuals
exert ''contagion effects'' on one another through social ties and
association. These analyses have come under critique because of the
possibility that homophily from unmeasured factors may explain these
statistical associations and because similar findings can be obtained when
the same methodology is applied to height, acne, and headaches, for which
the conclusion of contagion effects seems somewhat less plausible. The
author uses sensitivity analysis techniques to assess the extent to which
supposed contagion effects for obesity, smoking, happiness, and loneliness
might be explained away by homophily or confounding and the extent to which
the critique using analysis of data on height, acne, and headaches is
relevant. Sensitivity analyses suggest that contagion effects for obesity
and smoking cessation are reasonably robust to possible latent homophily or
environmental confounding; those for happiness and loneliness are somewhat
less so. Supposed effects for height, acne, and headaches are all easily
explained away by latent homophily and confounding. The methodology that
has been used in past studies for contagion effects in social networks,
when used in conjunction with sensitivity analysis, may prove useful in
establishing social influence for various behaviors and states. The
sensitivity analysis approach can be used to address the critique of latent
homophily as a possible explanation of associations interpreted as
contagion effects.*
An up-to-date schedule for the workshop is available at
http://www.iq.harvard.edu/events/node/1208.
Best,
Konstantin
--
Konstantin Kashin
Ph.D. Student in Government
Harvard University
Mobile: 978-844-0538
E-mail: kkashin(a)fas.harvard.edu
Site: http://people.fas.harvard.edu/~kkashin/