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Research Workshop in Applied Statistics
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Join us this Wednesday (tomorrow, April 28) at noon,
at CBRSS, the Center for Basic Research in the Social Sciences,
34 Kirkland Street, Room 22, for
"The Timing, Intensity, and Composition of Interest Group Lobbying:
An Analysis of Structural Policy Windows in the States"
Our speaker will be John de Figueiredo of MIT's Sloan School of Management.
ABSTRACT
-----------
This is the first paper to statistically examine the timing of interest group
lobbying. It introduces a theoretical framework based on recurring structural
policy windows and argues that these types of windows should have a large
effect on the intensity and timing of interest group activity. Using a new
database of all lobbying expenditures in the U.S. states ranging up to 25
years, the paper conducts a number of statistical panel analyses using fixed
effects. The results show interest group lobbying increases substantially
during one of these recurring structural windows in particular--the budget
process. Spikes in lobbying during budgeting are driven primarily by business
groups. Moreover, even groups relatively unaffected by budgets lobby more
intensely during legislative budgeting, consistent with the theory that these
interests are attempting to have legislators attach (de)regulatory riders to
the budget bills. Other characteristics of the legislatures, such as rules
regarding disclosure laws, term limits, and electoral factors show little
statistical impact on lobbying by interest groups. Overall, the paper argues
that these structural policy windows largely determine lobbying expenditures
on the margin.
As always, lunch will be provided.
Contact information, the current schedule, and previous presentations may be
found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/
******************************************
The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work
in progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in
different disciplines such as economics, epidemiology, medicine,
political science, psychology, public policy, public health, sociology
and statistics. The topics of papers presented in previous years
included missing data, survey analysis, Bayesian simulation, sample
selection, and models for election and portfolio choice. Faculty and
student participants in the workshop present their current projects,
and guest speakers also give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government
or Sociology class. Lunch is provided.
If you are interested, note that all events are held at noon, in Room 22,
Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is
the yellow building across the street from William James Hall).
Contact information and previous presentations may be found at the course web
site: http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
end
***************************************
Research Workshop in Applied Statistics
***************************************
Join us this Wednesday (April 21) at noon,
at CBRSS, the Center for Basic Research in the Social Sciences,
34 Kirkland Street, Room 22, for
"BACTrack: A System for Rapid Detection and Spatio-Temporal Localization of
Biological Agent Attacks"
Our speaker will be Ronald Hoffeld of MIT's Lincoln Laboratories.
ABSTRACT
Syndromic surveillance systems can generally be improved by inclusion of
patient location information. This information is difficult to obtain from
health care providers due to HIPAA privacy restrictions. Recent trends in
location-based cell phone services indicate that the location histories of
phone subscribers may become available on a voluntary basis. Coupling these
data with individuals self-reported coarse health status (i.e. sick or
healthy) suggests a new health surveillance technique. This technique,
which we call BACTrack for Biological Agent Correlation Tracker, searches
for spatial temporal regions in which a larger than expected percentage of
the population became infected. The unique aspect of this search is that it
uses current health status information with past location history data.
This talk will give the results of a study we conducted to determine the
operating characteristics of this detection technique. Included will be a
description of the system concept, implementation approaches, detection
algorithms, and estimates of performance.
-----------
As always, lunch will be provided.
Contact information, the current schedule, and previous presentations may be
found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/
******************************************
The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work
in progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in
different disciplines such as economics, epidemiology, medicine,
political science, psychology, public policy, public health, sociology
and statistics. The topics of papers presented in previous years
included missing data, survey analysis, Bayesian simulation, sample
selection, and models for election and portfolio choice. Faculty and
student participants in the workshop present their current projects,
and guest speakers also give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government
or Sociology class. Lunch is provided.
If you are interested, note that all events are held at noon, in Room 22,
Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is
the yellow building across the street from William James Hall).
Contact information and previous presentations may be found at the course web
site: http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
end
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Research Workshop in Applied Statistics
***************************************
Join us this Wednesday (April 14) at noon,
at CBRSS, the Center for Basic Research in the Social Sciences,
34 Kirkland Street, Room 22,
for
Statistical Models for
Health Care Quality Surveillance and Public Reporting
Sharon-Lise T. Normand
Professor of Health Care Policy (Biostatistics)
Department of Health Care Policy, Harvard Medical School
Department of Biostatistics, Harvard School of Public Health
Monitoring health care quality involves collection of medical data in
order to identify trends and disparities in medical care delivery. In the
absence of randomization, detailed medical record data have often served as the
gold-standard for balancing the distribution of observations (e.g.,
patients) across units (e.g., states). Administrative claims data are a
cheaper alternative to medical record data but have been criticized as too
coarse. The question is how valid are the administrative data for
monitoring health care quality. To answer this, we consider an analysis of
I units, each of which involves an adjusted outcome. In the ith unit, we
denote the true association between the outcome and the risk factors using
the medical chart data by theta_i(X), the true association between the
outcome and the risk factors using administrative data by gamma_i(Z), and
assume we have estimates of each available. Within unit i, the estimated
association parameters are jointly normally distributed such that
conditional on gamma_i(Z), a simple linear relationship exists between
theta_i(X) and gamma_i(Z). We illustrate methods to examine the value of
administrative data for monitoring state-specific 30-day mortality rates
after a heart attack. Preliminary results for monitoring hospital-specific
rates will also be discussed.
Key Words: Bayesian inference; hierarchical model; surrogacy; acute
myocardial infarction; quality of care; surveillance.
As always, lunch will be provided.
Contact information, the current schedule, and previous presentations may be
found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/
******************************************
The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work
in progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in
different disciplines such as economics, epidemiology, medicine,
political science, psychology, public policy, public health, sociology
and statistics. The topics of papers presented in previous years
included missing data, survey analysis, Bayesian simulation, sample
selection, and models for election and portfolio choice. Faculty and
student participants in the workshop present their current projects,
and guest speakers also give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government
or Sociology class. Lunch is provided.
If you are interested, note that all events are held at noon, in Room 22,
Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is
the yellow building across the street from William James Hall).
Contact information and previous presentations may be found at the course web
site: http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
end
***************************************
Research Workshop in Applied Statistics
***************************************
Join us this Wednesday (April 7) at noon,
at CBRSS, the Center for Basic Research in the Social Sciences,
34 Kirkland Street, Room 22,
for a presentation by Professor Ron Kessler (Harvard Medical School):
"An Overview of Measurement, Design, and Analysis Issues in the WHO World
Mental Health Surveys"
The paper is available at:
http://www.courses.fas.harvard.edu/~gov3009/Calendar/ron.html
As always, lunch will be provided.
Contact information, the current schedule, and previous presentations may be
found at the course web site: http://www.courses.fas.harvard.edu/~gov3009/
******************************************
The Research Workshop in Applied Statistics is a forum for graduate
students, faculty, and visiting scholars to present and discuss work
in progress and exchange ideas. It is intended as a tour of Harvard's
statistical innovations and applications with weekly stops in
different disciplines such as economics, epidemiology, medicine,
political science, psychology, public policy, public health, sociology
and statistics. The topics of papers presented in previous years
included missing data, survey analysis, Bayesian simulation, sample
selection, and models for election and portfolio choice. Faculty and
student participants in the workshop present their current projects,
and guest speakers also give occasional presentations. The workshop
provides an excellent opportunity for informal interaction between
graduate students and faculty from a variety of disciplines. Course
credit is available for students as either an upper-level Government
or Sociology class. Lunch is provided.
If you are interested, note that all events are held at noon, in Room 22,
Center for Basic Research in Social Sciences (CBRSS, 34 Kirkland St., this is
the yellow building across the street from William James Hall).
Contact information and previous presentations may be found at the course web
site: http://www.courses.fas.harvard.edu/~gov3009/
To join the gov3009 mailing list, send e-mail to
gov3009-l-request(a)fas.harvard.edu with the following text message:
subscribe
end