Hi all,
We hope that you can join us for the Applied Statistics Workshop this
Wednesday, December 1st when we will be happy to have Dan Carpenter
from the Department of Government, presenting on regression
discontinuity designs in marginal elections. You will find an abstract
below, along with links to two papers. The first is the paper for the
talk and the second is supplementary material about how to model these
elections using a continuous-time, continuous-space framework in the
field of stochastic differential games. As always, we will serve a
light lunch and the talk will begin around 12:15p.
“How Random are Marginal Election Outcomes? A Critical Examination of
Regression Discontinuity Designs for Causal Inference”
Dan Carpenter
Department of Government, Harvard University
CGIS K354 (1737 Cambridge St.)
Wednesday, December 1st, 12 noon
Abstract:
Elections with small margins of victory represent an important form of
electoral competition and, increasingly, an opportunity for causal
inference. Scholars using regression discontinuity designs (RDD) have
interpreted the winners of close elections as randomly separated from
the losers, using marginal election results as an experimental
assignment of offce-holding to one candidate versus the other. In this
paper we suggest that marginal elections may not be as random as RDD
analysts suggest. We draw upon the simple intuition that elections
that are expected to be close will attract greater campaign
expenditures before the election and invite legal challenges and even
fraud after the election. We present theoretical models that predict
systematic differences between winners and losers, even in elections
with the thinnest victory margins. We test predictions of our models
on a dataset of all House elections from 1946 to 1990. We demonstrate
that candidates whose parties hold structural advantages in their
district are systematically more likely to win close elections at a
wide range of bandwidths. Our findings call into question the use of
close elections for causal inference and demonstrate that marginal
elections mask structural advantages that may be troubling
normatively. (Co-authored with Justin Grimmer, Eitan Hersh, and Brian
Feinstein)
Paper: http://www.iq.harvard.edu/events/sites/iq.harvard.edu.events/files/CloseEle…
Supplement: http://www.iq.harvard.edu/events/sites/iq.harvard.edu.events/files/Suppleme…
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/
Hi there,
This is a friendly reminder that there will be no Applied Statistics
Workshop this Wednesday, due to the Thanksgiving holiday. We will
reconvene next Wednesday, December 1st, when we will have Dan
Carpenter from the Department of Government speaking about regression
discontinuity design with close elections. It will be the last meeting
of the term. Hope to see you then.
In addition, we are currently preparing the schedule for the Spring
term. If you are interested in presenting, have in mind a possible
speaker, or have a topic that you would like to see at the workshop,
please feel free to email me (mblackwell(a)iq.harvard.edu).
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/
We hope that you can join us for the Applied Statistics Workshop this
Wednesday, November 17th when we will be happy to have Matevž Raškovič
from the University of Ljubljana, who is currently a Visiting Fellow
in the Sociology Department. You will find an abstract below. As
always, we will serve a light lunch and the talk will begin around
12:15p.
“Managing supplier-buyer relationships in transnational companies: the
case of Danfoss”
Matevž Raškovič
University of Ljubljana
CGIS K354 (1737 Cambridge St.)
Wednesday, November 17th 12 noon
Abstract:
This talk is part of an ongoing PhD research taking place at the
Faculty of Economics and Faculty of Social Sciences at the University
of Ljubljana in Slovenia, and the Technical University Eindhoven in
the Netherlands. The research is motivated by literature on the
different ‘mentalities’ of international companies and the fact that
transnational companies, as a unique type of an international company
mentality, are increasingly being understood as communities and spaces
of social relationships. The research explores the management of
supplier-buyer relationships within Danfoss, Denmark’s biggest
industrial organization. In particular, it looks at how Danfoss
manages supplier-buyer relationships to be both globally efficient and
flexible, while at the same time facilitating learning. Balancing all
these three strategic goals presents a considerable challenge for all
internationally-active companies. The talk will offer a short
theoretical background for the research and focus on presenting the
multi-method mixed research design built around two separate two-mode
egocentric cognitive social networks.
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/
Hi all,
We hope that you can join us for the Applied Statistics Workshop this
Wednesday, November 10th when we will be happy to have Tyler
VanderWeele from the Harvard School of Public Health. You will find an
abstract below. As always, we will serve a light lunch (sandwiches)
and the talk will begin around 12:15p.
“A marginal structural model for loneliness: implications for clinical trials?”
Tyler VanderWeele
Harvard School of Public Health
CGIS K354 (1737 Cambridge St.)
Wednesday, November 10th, 12 noon
Abstract:
Clinical scientists, policy makers, and individuals must make
decisions concerning effective interventions that address
health-related issues. We use longitudinal data on loneliness and
depressive symptoms and a class of causal models to illustrate how
empirical evidence can be used to inform intervention trial design and
clinical practice. Data were obtained from a population-based study of
non-Hispanic Caucasians, African Americans and Latino Americans born
between 1935 and 1952. Marginal structural causal models were employed
to evaluate the extent to which depressive symptoms depend not only on
loneliness measured at a single point in time (as in prior studies of
the effect of loneliness) but also on an individual?s entire
loneliness history. Our results indicate that if interventions to
reduce loneliness by one standard deviation were made one and two
years prior to assessing depressive symptoms, both would have an
effect and would together result in an average reduction in depressive
symptoms of 0.33 standard deviations (95% CI: 0.21, 0.44, P<0.0001).
In light of the persistence of the effects of loneliness, our results
also suggests that, in the evaluation of interventions on loneliness,
it may be important to allow for a considerable follow-up period in
assessing outcomes.
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/
Hi all,
We hope that you can join us for the Applied Statistics Workshop this
Wednesday, November 3rd when we will be happy to have Karthik Ramanna
at the Harvard Business School. Karthik will give a talk entitled
"Network effects in countries' adoption of International Financial
Reporting Standards." You will find an abstract and a link to the
paper below. As always, we will serve a light lunch (sandwiches) and
the talk will begin around 12:15p.
"Network effects in countries' adoption of International Financial
Reporting Standards"
Karthik Ramanna
Harvard Business School
CGIS K354 (1737 Cambridge St.)
Wednesday, November 3rd, 12 noon
Abstract:
If a country’s accounting standards represent a political-economic
equilibrium, why is that equilibrium for some countries shifting over
time in favor of International Financial Reporting Standards (IFRS)?
We develop and test the hypothesis that perceived network benefits
from the extant worldwide adoption of IFRS influences a country’s
shift away from local accounting standards. That is, as more
jurisdictions with economic ties to a given country adopt IFRS,
perceived benefits from lowering transactions costs to foreign
financial-statement users come to outweigh institutional differences
(e.g., auditing technology) that make IFRS adoption costly. We find
that perceived network benefits increase the degree of IFRS
harmonization among countries, although larger countries and countries
less dependent on foreign trade have a differentially lower response
to these perceived benefits.
Paper: http://www.iq.harvard.edu/events/sites/iq.harvard.edu.events/files/SSRN-id1…
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/