Hello all,
We?d appreciate your comments on our draft abstract. The title remains a
bit awkward, so any suggestions on that are particularly welcome.
Best,
Abby, Kira, and Anant
>From ?Sing, Sing, Sing? to ?The Sound of Silence:?
Evidence that Generational Replacement is Shrinking Americans' Discussion
Networks
Kira Matus, Anant Thaker, Abigail Williamson
Abstract
Comparing Americans' discussion networks in 1985 and 2004, McPherson et. al.
(2006) find a substantial drop in the number of people adults talk to about
important matters. Over this period, the mean number of discussion partners
reported on the General Social Survey fell from three to two, while the mode
fell from three to zero. Since questions about discussion networks elicit
information about respondents? most intimate ties, this finding suggests
that Americans today have fewer sources of socio-emotional support. We
extend McPherson et. al.'s findings, using exact matching to demonstrate
that changes in the racial, educational, and income composition of the
population do not account for network shrinkage between 1985 and 2004.
Rather, we find evidence of Putnam's (2000) claim that generational
replacement is key in explaining shrinking social networks, as consecutively
less social cohorts replace the especially gregarious World War II
generation.
Hey all,
Below is our abstract. Enjoy.
Liberalization versus Sustained Openness?
Remodeling the Impact of Democratization on the Initial Move to Free Trade
Is the process of democratization associated with trade liberalization in
lesser-developed countries? Milner and Kubota (2005) argue that the
transition to democracy prevents political leaders from using trade
barriers to secure electoral support: their empirical analysis finds a
positive relationship between democratization and openness. Using
nonparametric matching procedures, we demonstrate that these results
conflate the impact of democratization with simple policy inertia:
governments who have liberalized their trade regimes in the past are more
likely to sustain liberalized trade regimes in the future, despite the
democratization of their political regimes. We then employ a rare events
logit model to show that there is no association between democratization
and the initial onset of trade liberalization.
The Economic Costs of Conflict? A Case Study of Punjab
We assess the economic costs of the secessionist conflict in Punjab by
applying the synthetic control group method of Abadie and Gardeazabal
(2003) to data from India, creating a "counterfactual" Punjab without
terrorism as a weighted average of other Indian states. In doing so
we demonstrate the usefulness of placebo analyses ? creating synthetic
controls for states in the original control group ? in inferring
causal effects with only one treated observation. While at first
glance our results show a gap between the actual and counterfactual
GDP growth paths, we find that this gap is comparable to the gap
produced by running placebo analyses on states that did not experience
terrorism. Hence we cannot infer that terrorism had a strong negative
impact on growth in Punjab. This stands in contrast to Abadie's and
Gardazabal's results from Spain, where the GDP gap for the Basque
Country during its period of terrorism exceeds those generated from
placebo analyses on other regions.
Hi everyone,
Below is a revised version of our abstract. Thanks in advance for any comments!
Jen and Jacqueline
The Media Followed the Parties, but Not Equally on All Issues: A Closer Look
at Agenda Formation in the 1997 British General Election
A small body of literature has attempted to determine the flow of agenda-setting
during political campaigns: do the media lead the parties or vice versa? Using
time-series cross-sectional data from the 1997 British general election,
Brandenburg (2002) employs ordinary least squares regression to conclude that
agenda formation was unidirectional, from parties to media. We replicate these
results but find evidence in first differences that parties conceivably
followed the media as well. We therefore re-estimate Brandenburg's models using
negative binomial regression, given the over-dispersed count-data. Changes in
media coverage that chronologically follow changes in party coverage *are*
greater than party changes that follow media changes. Additionally, because the
negative binomial model permits variation in party influence across policy
dimensions, we demonstrate that the parties particularly affected the media's
tendency to cover the economy, welfare, education and foreign policy. OLS
treats jumps between policy dimensions identically and thus improperly suggests
a uniform impact across all issues.
(154 words)
dan makes good piints. In addition, do u have a measure for unstabe electorates and wedge issues? Both sound like they would be novel amd also hard to do. If not I would reword.
Gary
-----Original Message-----
From: Dan Hopkins <dhopkins(a)fas.harvard.edu>
Date: Sunday, Apr 30, 2006 7:54 pm
Subject: Re: [gov2001-l] Abstract for Yuki and Doru
Certainly sounds like an interesting paper! In terms of recommendations for the abstract, here are mine:
First, can you capture your actual argument in the title itself? Not to sound like a broken record, but... Second, I'm not sure that
"electorates" is exactly the right word in the second sentence--perhaps just "demographic groups"? Third, I might find a way to consolidate the conventional wisdom that you are building from more succinctly if you can--perhaps in as little as a sentence or at most two, not three.
Fourth, I might make how economic opportunity and racial polarization relate more clear--are they alternate hypotheses explaining the same
general trend, or is this more of a novel finding? Since this appears to be your key point, I would explain it more fully, and perhaps use the title to indicate the centrality of economic opportunity in your
explanation.
Best,
Dan
On Sun, 30 Apr 2006, Doru Gavril wrote:
> Here's our abstract y'all. Any complaints, suggestions, advice? (esp.
does "socialize" make sense in this context?)
> Yuki and Doru
> _Winning Strategies_
_How Race and Economic Opportunity Shaped the California Electorate_
> Wedge issues aim to polarize the electorate and secure a majority for
the proposing party. However, already committed electorates are less
susceptible to this strategy than emerging constituencies. Several
racially charged propositions on California ballots, aimed at polarizing
the preferences of Whites and Latinos, led the latter to join the
Democrats? camp while affecting little change on the former group.
Unlike previous research suggested, we find no backlash from Whites
against the racial wedge issues employed by Republicans. Employing a
multidimensional model of partisan identification, we find that, holding
constant economic opportunities in the ?80s and ?90s, White party
allegiances remained mostly unchanged, while Latinos became firmly
lodged in the Democratic camp. We attribute previously reported
variations in the partisan makeup of the electorate to changes in
economic opportunity. Thus, wedge issues appeal only to unstable,
emerging electorates, and fail to muster enough momentum to persuade
already socialized voters.
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Dear all,
I'm trying to fit 2SLS with systemfit(). Unfortunately, it
somehow doesn't allow me to add any pre-treatment covars to
the first and second stages. Without any covars (i.e.
without p055.k) it works just fine and also produces the
correct result. Does anybody know what's wrong here? (My
vars are not perfectly collinear; I've checked that of course.)
Thanks,
Holger
first <- papilla.intake.N99 ~ contba.m + p055.k
second <- weight.99 ~ papilla.intake.N99 + p055.k
inst <- ~ contba.m
system <- list(demand=first, supply=second)
> out.1 <- systemfit("2SLS", system, inst=inst, data=data.imp1,
+ maxiter=1000)
Error in solve.default(crossprod(Xf), crossprod(Xf, Y), tol
= solvetol) :
system is computationally singular: reciprocal
condition number = 5.27922e-018
--
Holger Lutz Kern
Graduate Student
Department of Government
Cornell University
Institute for Quantitative Social Science
Harvard University
1737 Cambridge Street N350
Cambridge, MA 02138
www.people.cornell.edu/pages/hlk23
In case anyone else works in a SAS environment, I see that the SAS procedure
called MI does Markov Chain Monte Carlo imputation of missing variables.
-Michael
===============
Michael J. A. Berry
Data Miners, Inc.
+1 617 742 4252
Hello,
I have a question for anyone who has a better familiarity with linear algebra
than I.
Does the attached document make sense? In what situations would the equation
described work? In what situations would it fall apart?
Thanks.
Geoff
Hi everyone,
The new Zelig version (2.6-1) is now up on the icegov servers, which
corrects problems in the ordered logit and ordered probit simulation
procedures.
Best,
Ian
Hi All,
A few quick notes...
First, course evaluations are available online as of today. When you have
a moment, please go to my.harvard.edu, login, and then select "Courses,"
and you should then see a link to "Evaluations." We really value your
feedback, so please take a moment to evaluate the course.
Second, a friendly (if that's possible) reminder that the papers are due
one week from today, Monday, May 8th, at 5 PM, to my mailbox just outside
N-354. You only need to turn in one copy per group, and of course, you do
*not* need to turn in code. Distance students should email a copy in PDF
format to Ian.
Third, this week's Thursday section is an informal pizza party in N-262
from 5:30 PM to 6:30 PM. We'll look forward to seeing you there!
Fourth, we will hold regular office hours this week--Ian's tomorrow
(Tuesday) at 4:30 PM to 6:30 PM, and mine are 4 PM to 6 PM on Wednesday.
Best,
Dan
----
Ph.D. Student
Department of Government
Harvard University
Tutor, Currier House
dhopkins(a)fas.harvard.edu
http://www.danhopkins.org