Hi all,
We hope that you can join us for the Applied Statistics Workshop this
Wednesday, March 30th, 2011 when we will be happy to have Alisdair
McKay from the Department of Economics at Boston University. You will
find an abstract and link to the paper below. As always, we will serve
a light lunch and the talk will begin around 12:15p.
“Rational Inattention to Discrete Choices: A New Foundation for the
Multinomial Logit Model”
Alisdair McKay
Department of Economics, Boston University
CGIS K354 (1737 Cambridge St.)
Wednesday, March 30th, 2011 12 noon
Abstract:
Often, individuals must choose among discrete alternatives with
imperfect information about their values, such as selecting a job
candidate, a vehicle or a university. Before choosing, they may have
an opportunity to study the options, but doing so is costly. This
costly information acquisition creates new choices such as the number
of and types of questions to ask the job candidates. We model these
situations using the tools of the rational inattention approach to
information frictions (Sims, 2003). We nd that the decision maker's
optimal strategy results in choosing probabilistically exactly in line
with the multinomial logit model. This provides a new interpretation
for a workhorse model of discrete choice theory. We also study cases
for which the multinomial logit is not applicable, in particular when
two options are duplicates. In such cases, our model generates a
generalization of the logit formula, which is free of the limitations
of the standard logit.
Paper: http://people.bu.edu/amckay/pdfs/logit.pdf
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 you can join us at the Applied Statistics Workshop this
Wednesday, March 23rd, when we are excited to have Eric Chaney from
the Department of Economics here at Harvard. Eric will be presenting
his paper entitled “Revolt on the Nile: Economic Shocks, Religion and
Political Influence.” You'll find an abstract and a link to the paper
below. As usual, we will begin at 12 noon with a light lunch and wrap
up by 1:30pm.
“Revolt on the Nile: Economic Shocks, Religion and Political Influence"
Eric Chaney
Department of Economics, Harvard University
Wednesday, March 23rd, 12 noon
CGIS Knafel 354 (1737 Cambridge St)
Paper: http://www.iq.harvard.edu/events/sites/iq.harvard.edu.events/files/nilepape…
Abstract:
Can religious leaders use their popular influence to political ends?
This paper explores this question using over 700 years of Nile flood
data. Results show that deviant Nile floods were related to
significant decreases in the probability of change of the
highest-ranking religious authority. Qualitative evidence suggests
this decrease reflects an increase in political power stemming from
famine-induced surges in the religious authority's control over
popular support. Additional empirical results support this
interpretation by linking the observed probability decrease to the
number of individuals a religious authority could influence. The paper
concludes that the results provide empirical support for theories
suggesting religion as a determinant of institutional 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 you can join us at the Applied Statistics Workshop this
Wednesday, March 9th, when we are excited to have Don Rubin, the John
L. Loeb Professor of Statistics here at Harvard University, who will
be presenting recent work on job-training programs. You will find an
abstract below. As usual, we will begin with a light lunch at 12 noon,
with the presentation starting at 12:15p and wrapping up by 1:30p.
"Are Job-Training Programs Effective?"
Don Rubin
John L. Loeb Professor of Statistics, Harvard University
Wednesday, March 9th 12:00pm - 1:30pm
CGIS Knafel K354 (1737 Cambridge St)
Abstract:
In recent years, job-training programs have become more important in
many developed countries with rising unemployment. It is widely
accepted that the best way to evaluate such programs is to conduct
randomized experiments. With these, among a group of people who
indicate that they want job-training, some are randomly assigned to be
offered the training and the others are denied such offers, at least
initially. Then, according to a well-defined protocol, outcomes, such
as employment statuses or wages for those who are employed, are
measured for those who were offered the training and compared to the
same outcomes for those who were not offered the training. Despite the
high cost of these experiments, their results can be difficult to
interpret because of inevitable complications when doing experiments
with humans. In particular, some people do not comply with their
assigned treatment, others drop out of the experiment before outcomes
can be measured, and others who stay in the experiment are not
employed, and thus their wages are not cleanly defined. Statistical
analyses of such data can lead to important policy decisions, and yet
the analyses typically deal with only one or two of these
complications, which may obfuscate subtle effects. An analysis that
simultaneously deals with all three complications generally provides
more accurate conclusions, which may affect policy decisions. A
specific example will be used to illustrate essential ideas that need
to be considered when examining such data. Mathematical details will
not be pursued.
Gov3009 website: http://www.iq.harvard.edu/events/node/1208
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
tomorrow, March 2nd when we will be happy to have Jean-Baptiste Michel
(Postdoctoral Fellow, Department of Psychology) and Erez Lieberman
Aiden (Harvard Society of Fellows). You will find an abstract and a
link to the paper below. As always, we will serve a light lunch and
the talk will begin around 12:15p.
“Quantitative Analysis of Culture Using Millions of Digitized Books”
Jean-Baptiste Michel and Erez Lieberman Aiden
CGIS K354 (1737 Cambridge St.)
Wednesday, March 2nd 12 noon
Abstract:
We constructed a corpus of digitized texts containing about 4% of all
books ever printed. Analysis of this corpus enables us to investigate
cultural trends quantitatively. We survey the vast terrain of
‘culturomics,’ focusing on linguistic and cultural phenomena that were
reflected in the English language between 1800 and 2000. We show how
this approach can provide insights about fields as diverse as
lexicography, the evolution of grammar, collective memory, the
adoption of technology, the pursuit of fame, censorship, and
historical epidemiology. Culturomics extends the boundaries of
rigorous quantitative inquiry to a wide array of new phenomena
spanning the social sciences and the humanities.
Paper: http://www.sciencemag.org/content/331/6014/176.short
Cheers,
matt.
~~~~~~~~~~~
Matthew Blackwell
PhD Candidate
Institute for Quantitative Social Science
Department of Government
Harvard University
url: http://people.fas.harvard.edu/~blackwel/