I've been engaged in a little argument with the guys over at Open Left over the nature of the various bailout bills that have come before Congress over the past several months.
My position is essentially as follows: Legislators whom we usually think of as liberal or progressive have been more, rather than less, likely to support bailout legislation. It is therefore difficult to argue, as David Sirota does, that a vote against the bailout represents "a major victory for the progressive movement [...] against kleptocracy".
Chris Bowers has responded by suggesting that, while progressive congressmen may have been more likely to support the most recent bailout held over the past couple of weeks, this was not true of the original bailout bills last autumn, before Barack Obama took over the presidency, and was particularly not true of the "original" bailout bill last September 29th, which failed 205-228 in the House and infamously made the stock market very unhappy.
I find Chris's comments thoughtful, as I usually do. Undoubtedly, the bailout involved some incredibly complex political considerations. Imagine some of the issues that a Congressman must have been wrestling with when deciding how to vote on the bailout last September:
- The impact of the passage or failure of the bailout bill on the presidential campaign;
- The impact of the passage or failure of the bill on his re-election campaign;
- Pressure from leadership to vote for the bailout;
- Pressure from industry to vote for the bailout;
- Pressure from the blogs and talk radio to vote against the bailout;
- The long-run impact of creating hundreds of billions of dollars in additional debt;
- The long-run impact of creating (arguably/probably) a moral hazard for banks;
- The near-term impact of a credit market crash caused by the failure of the bailout;
- The near-term impact of a stock market crash caused by the failure of the bailout;
- The possibility that by voting against the bailout, a superior bailout bill could be facilitated;
- The particular impact of the bailout on the economy of his Congressional District;
- The Bush Administration's support for the bailout;
- The (then-tepid) support of Obama and McCain for the bailout.
That's a lot to chew on, and it's not surprising that whole sets of Congressmen who usually vote alike wound up splitting their votes on this issue.
Nevertheless, perhaps we can find some useful evidence in the fossil record. I went back to the bailout vote, compiled a whole bunch of relevant variables, and tried to find which of these variables best predicted voting behavior. These might be characteristics having to do with the Congressman himself (such as his race or his party), or characteristics having to do with his congressional district. After many permutations, here is the most coherent model that I came up with:
All right -- so, running raw regression output probably isn't going to endear me to very many of you. But basically, what we have is the following set of variables:
- 'voteshare06' represents the share of the two-party vote that the Congressman received in 2006; it is a measure of how electorally vulnerable the Congressman was. The higher the Congressman's vote share had been in 2006 -- meaning, the less vulnerable he probably was in 2008 -- the more likely he was to vote for the bailout.
- 'retire' is a flag indicating whether the Congressman had announced his intention to retire at the end of his term (but was not, at that time, still engaged in a campaign for higher office). Retiring congressmen were considerably more likely to vote for the bailout.
- 'banklobby' is the amount of political contributions that Congressman received from the banking industry. Congressmen receiving more of these contributions were more likely to vote for the bailout.
- 'demleader' and 'gopleader' are indicators of whether the Congressmen held a leadership position in the Democratic and Republican parties, respectively, either as a member of his party's floor leadership or as a chairman or ranking member of a permanent House committee. Leadership members of both parties were more likely to vote for the bailout.
- 'is_hisp06' and 'is_black06' indicate whether the Congressman is Hispanic or black, respectively. Hispanic and black Congressmen were less likely to vote for the bailout, all else being equal.
- 'libcons', finally, represents the Congressman's liberal-conservative score as provided by National Journal. The more liberal a congressman's voting record, the higher his score. More liberal members of congress were more likely to vote for the bailout, holding other variables constant. Interestingly, party affiliation did not appear to be a determinant of voting on this particular bill, except insofar as it was reflected in ideology.
To get some idea of how all of this works, here are the Congressmen predicted by the model to be the most likely to vote for the bailout along with their actual votes:98.9% Frank, Barney D MA-4 Aye
Basically, this is the Democratic leadership in the House, plus a handful of Congressmen from both parties who received especially large contributions from the banking industry. And here, conversely, are the Congressmen deemed least likely to vote for the bailout:
98.1% Bachus, Spencer R AL-6 Aye
98.0% Emanuel, Rahm D IL-5 Aye
97.5% Rangel, Charlie D NY-15 Aye
97.5% Hoyer, Steny D MD-5 Aye
97.3% McNulty, Michael D NY-21 Aye
96.8% Crowley, Joseph D NY-7 Aye
96.3% Davis, Tom R VA-11 Aye
95.9% Hooley, Darlene D OR-5 Aye
95.9% Pelosi, Nancy D CA-8 Aye6.1% Diaz-Balart, Mario R FL-25 Nay
There are a lot of cross-currents here. On the one hand, Congressmen clearly understood that the optics of the bailout bill were poor. Those most vulnerable to being voted out of office were inclined to vote against the bill, and those least vulnerable to electoral pressure -- especially those that were retiring -- were inclined to vote for it.
6.5% Diaz-Balart, L. R FL-21 Nay
8.0% Lamborn, Doug R CO-5 Nay
8.5% Ortiz, Solomon D TX-27 Nay
9.5% Franks, Trent R AZ-2 Nay
9.7% Jordan, Jim R OH-4 Nay
10.3% Westmoreland, Lynn R GA-3 Nay
10.7% Pitts, Joseph R PA-16 Nay
11.0% Souder, Mark R IN-3 Aye
11.2% Radanovich, George R CA-19 Aye
The banking industry -- Sirtoa's kleptocracy -- appears to have had its influence; members receiving a lot of contributions from the banking sector were significantly more likely to vote for the bill. Then again, we may be confusing cause and effect. Does Spencer Bachus tend to vote for bills that help the banking industry because he gets a lot of financial support from it? Or does he get a lot of support from the industry because he tends to vote in its favor? Or, might there be some characteristics of his Congressional District -- such as high employment in the banking sector -- that motivate both the contributions and Bachus' votes? This is a tricky problem to solve. I did, however, look at the number of employees in each district in the financial sector, as that data is available from the Census Bureau, and it was not a very strong predictor of voting. So money/lobbying from the industry a factor in some of these votes -- it was not simply a matter of Congressmen protecting local jobs in those industries.
Race was a factor; the Hispanic and black caucuses really did not get behind the initial bailout bills. The black caucus (though not the Hispanic caucus) did get behind the second bailout bill in October -- the one that passed -- perhaps as a result of Barack Obama's firmer support for the measure.
And finally, ideology was a factor. Holding all else constant, we still show more liberal/progressive members as being more likely to support the bill.
What I see, frankly, are some "bad" votes on both sides of the issue. On the one hand, the banking industry may have had some influence on certain of the 'yes' votes. On the other hand, I see demagoguery in certain of the 'no' votes, particularly as retiring congressmen -- those who are presumably freest to evaluate the bill on its merits -- were overwhelmingly inclined to support the bailout.
What I still don't see is much evidence that voting against the bailout tended to be the "progressive" position; in fact, the evidence seems to point in the opposite direction, although really the votes on the bailout seem to be more nonideological than anything else.
I am well aware, certainly, that there are other ways to define "progressivism" besides through the voting tendencies of the Congress. At the same time, certain of those definitions may be self-serving. I could make an argument, for instance, that "progressive" values should (as I happen to believe) include fairly strong support for Second Amendment rights, but that is not the generally accepted position. Terms like "progressive" lose their meaning if they tend to be defined as "whatever the particular blogger thinks about the world".
1.27.2009
So Just Who Did Vote For The Bailout?
by Nate Silver @ 8:35 AM
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66 comments
Excellent, informative, Nate.
One typo: "a Congressman most have been wrestling with"
Should be "must have been," not "most have been."
"Sirtoa's kleptocracy" should be "Sirota's kleptocracy".
Hi nate,
Long time reader, first time poster. Excellent post, and I get a certain geeky thrill from seeing STATA output posted in the raw here.
You seem to have interpreted one coefficient wrong though. You say that the Dem leadership was significantly more likely to vote for the bailout, but your coefficient is negative (and insignificant).
So Pelosi et al were NOT more likely to vote for the bill, ceteris paribus, but if anything LESS likely (though only at 10% significance). Why this might be is anyone's guess - as you've pointed out there's a whole host of motivations in play here, and you can probably throw in a few extra aggregate-strategic ones for the party brass...
Whaddup STATA!
A sober and worthy analysis on your part, Nate. Unfortunately, I doubt it will make much of a difference to the Sirotas of the world, who are too busy crusading against THE MONEYED INTERESTS and keeping up their freshman dorm common-room impersonations of William Jennings Bryant to give much of a damm about the facts. VIVA LA UPRISING!!!!
Bailouts = nationalization. The question is what kind of a deal we get from the companies we acquire, and how long do we own them. Under Bush everything (as usual) was handled incompetently. Under Obama it's all in the air, but he does appear to be a competent manager. The fear of the opposition is that he will manage things too well.
@Toby: I think you can't judge this just from looking at the coefficients; instead you have to look (as Nate did) at the predicted values (probabilities). He reports those in his list, and presumably those come directly from the model.
Nate,
Never forget that it was your number-crazed nerdiness that brought us here in the first place.
Of course it endears you to us. Give us more regression analyses!
Very nice.
But no forecast for the next bailout vote? Come on. Us forecasting freaks have been missing too much of why we first came to your site.
So pretty please, will you crunch some numbers and tell us how many votes the House and Senate will give the next bailout (including all the usual caveats).
Jeff
It comes down to this. If you were a loyalist to either party then you voted for it. So progressives who in theory would be opposed to this legislation saw this winning an election. So when Obama said he was for it, the loyalists ran to it. If Obama said he was against it then those same voters would have ran from it. The bigger picture was to protect Obama. Similar to McCain many strong conservatives lined up because they didn't want to be seen out of the "solution" figuring it would work. Pure political posturing.
Nate, this post has finally convinced me to keep this site even though the election is over. I appreciate the statistical look at things - despite my lack of statistical knowledge, I find it much more useful to have this kind of analysis than the self-serving agenda pushing that generally happens on blogs.
Thanks for a great site! :)
QT
@Toby- The demleader coefficient is actually positive. In logistic regression you are modelling a log function, which means that the coefficient is actually e to the power of what is listed in that raw output.
You are right though that the 95% confidence interval does include 0, so the effect could be null or a slight negative.
@nate: I don't think using the national journal alone is a good way to determine how liberal or conservative a congressman is. After all, wasn't it the national journal that called Obama the most liberal senator... even more liberal than Bernie Sanders? I suggest adding more sources. The conservation league, for example called obama only in the 67th percentile for liberal compared to the rest of the senate. that's not so liberal.
@ Juris and Mark:
My bad. I thought the coefficients were odd ratios (this is how I generally run my stata output on logistic models), so a number under 1 would indicate a negative effect.
But you are of course right that they are straight up logit coefficients, so the positive number on demleaders simply means positive effect, pure and simple. Damn school boy error to make on a first post!
Still not significant though - although with a sample of only 400 and several controls Nate's probably right to take a more liberal view of significance levels than the traditional 0.05
Also, when I want to see how real liberals are voting, I look no further than Dennis Kucinich. He is a perfect example of an untainted liberal. If he doesn't like something, then it's probably pretty bad, and it helps to listen to his floor speeches to see just what he has to say. Statistics aside, I believe the biggest influence would be lobbyist cash, and threats. You can't measure threats too easily.
@I Am Fractal: I think that in the longer term Nate will not rely on just National Journal or any other single source for ideological classifications (I'd love to see him put several together or use simultaneously), but this was probably a reasonable proxy for this exercise.
@Toby: I've made worse errors....
This analysis conflates the impact of partisan affiliation with the impact of an individuals' liberalism or conservatism within their caucus. Really, you should run this regression on just the Democratic members and see if the results are the same.
While I agree with the bulk of the analysis here, that miniscule R-squared of 19% is troublesome. Ideology, vulnerability, leadership, campaign contributions and race constitute less than a fifth of the variance in the regression? That's not a lot. I haven't run the logit for any other legislation, but I'd be interested in seeing how these predictor variables perform in other bills. To me, it seems like random biases could have contributed more than usual.
Anyway Nate, you've done a hell of a job here. I use STATA daily and I know what a hassle this sort of program can be. Two quick suggestions to update this post: 1. include some interaction terms, such as that between ideology and bank contributions (Republicans may be more willing to let free-market contributors sway them), and 2. Don't say demleaders were more likely to vote for it when the P-value was greater than 10%...
I enjoyed this post. I appreciate the work that went into it (especially knowing how many factors you probably researched that ended up not being relevant). Hopefully you have a nice database developing with data points on every congressman and senator, so this analysis will get easier in the future...
@Nate: I second the idea of including interaction terms, especially for ideol*leadership. Party leaders in both parties in effect represent both the partisan and ideological "core" and in a sense you can't strictly speaking separate out their ideology from their partisan/leadership roles.
I would even consider just adding interaction terms for "conserv*leaader" and "liberal*leader" (for those who are on the relativ wings of the ideol scale). And consider different ways of defining leadership as well including/excluding key committee chairs/ranking members.
What's missing from this is why the Black and Hispanic caucuses almost uniformly opposed the original bailout bill. It wasn't out of progressive principles, but out of the fact that they'd pooled their influence to demand that housing aid programs targeted to their communities were included in the bill only to see those provisions stripped in the face of ACORN hysterics. It was simply a matter of sticking to their guns and showing that they weren't going to fall in line with the Dems after making a point of taking a stand on the bill.
I wager the many public arguments made before committee hearings and the full chamber blaming poor Blacks and Hispanics for getting in over their head and bearing responsibility for the crisis didn't help, either.
Dear Nate,
Please don't apologize for using regressions!
I've been waiting for some good regressions at 538 for a while now, and this satisfied my appetite. Seriously, this is something you have to offer--sophisticated analysis of real-world data--that no other political site is doing in real time.
all the best, Clay Ramsay
A couple things:
(1) Sirota's thesis strikes me as a bit silly -- but then, I consider non-binding resolutions to be a fairly silly in general. And yeah, I think "non-binding" is the proper modifier here. Members of the House had to have known the Senate wouldn't join them in blocking the second half of the bailout; essentially this was just an opportunity to pander to anti-bailout voters without worrying about the mere possibility of real-world consequences.
(2) Lumping together the bank bailout with Obama's New New Deal is about as relevant as calling Iran & North Korea an Axis. Yes, both bailouts are being advertised as economic stimulants, but while the bank bailout simply seeks to prop up ailing and failing banks (at least in theory) and avoid disaster, the Obama stimulus plan is really just a brilliant play by the administration to leverage global panic into a massive credit card for progressive causes (investing in schools, alternative energy, the middle class, etc.). The only thing the two bills have in common is that both are wildly anti-conservative in the traditional sense -- but then, traditional conservatism seems to have died several years ago...
I'm glad to see other people pointed out the 0.10 p value for dem leaders. Pretty high for you to be deeming it significant.
Also, for interpretation of parameters... a given parameter represents the log odds-ratio for a 1 unit change in that variable holding all other variables constant. So, the demleader parameter is a log odds-ratio comapring the odds that a demleader would vote for the bailout compared to a non-Dem leader, all other things held constant.
banklobby measures the increase in log-odds given a $1 increase (or whatever measure Nate used... thousands of $ maybe but since it is so small, I suspect it was in $.\)
p values of <.10 are statistically significant in a one-tailed test, which may be appropriate in this case given the prior expectation.
In any case, it IS fun to see some detailed data analysis here and to let some of the data wonks have at it.
Meant to say that the standard STATA output would apply a two-tailed test; but p=.10 in a two-tailed test is equivalent to p=.05 in a one-tailed test, which may in fact be appropriate in this case.
Juris I have read that post about two-tailed and one-tailed twice and PLEASE can you explain it for me, a complete novice at stats (I have got as far as stuff like standard deviation and not much more - although learning fast from this site).
I'm sorry you expended so much time and energy to prove what is already obvious: David Sirota is an Ann Coulter-wannabe masquerading as thoughtful pundit. He enjoys the attention he gets from lobbing Molotov cocktails from the left, and like Coulter, is not shy about manipulating facts to serve his agenda. In fact, he was on CSPAN last week and was asked if he had something in common with Pat Buchanan's divisive "pitchfork" approach made famous in his 1992 GOP convention speech. Sirota said he did. In recent months, he seems fixated on attacking Obama, Caroline Kennedy, Senator Michael Bennet (D-CO) and anyone else not meeting his fantasy of the working class hero. Often his argument seems to be the Obama Administration should conduct itself like the partisan and divisive Bush/Cheney/Rove Administration: 50% +1 politics. That's not what Obama ran on. If he had, he would have lost. And if he switched to that kind of approach now, there would be enormous disillusionment among his supporters who were looking for a change in the way Washington has been doing business. Believe it or not, many of us actually like Obama's less divisive and partisan approach. We think it's smart and more likely to be effective in getting results. But Sirota refuses to even acknowledge the vision Obama ran and won on. Frankly, it's been a disappointment to see the otherwise brilliantly perceptive Rachel Maddow give Sirota so much air time.
Hi, just a bit of feedback: I appreciate seeing your regression, as it lets me know more about your interpretation and it's validity. More data is always better!
Loving the geek-speak. Not qualified to chime in on that, but I was struck at how this all started - the root issue is really whether there is a coherent defintion for the term "Progressive" at this point.
The problem I've had with Sirota and everyone else using the term on the left right now is their apparent ignorance of its history. Progressive was the name of a historic political movement in the US, one that had almost no relationship to the term as its being used today (or even as it was used by EJ Dionne in a book 10 years ago about the not quite dead Progressive tendencies in America). It was an alternative to Republicanism headed, in 1912, by none other than Teddy Roosevelt (aka the "Bull Moose" party for its symbol). TR was many things, but a flaming liberal (which is what the term seems to generally mean today) he wasn't. Being anti-globalization, for example, or against "American exceptionalism" would be anethema to the old Rough Rider, although he might have liked the idea of beating up bankers for sport. Bill Clinton was seen as a "progressive" by many - in the sense of a pragmatic Democrat blending business interest and an effort at social justice. So the rampant co-option of the term as for a hodge-podge of seemingly unrelated positions has rendered it pretty much uselss as an analytical label - which I guess is what Nate's driving at, too.
Love that someone has finally co-opted the ID of the greatest nebbishy WH staffer ever, Toby. Mad props for that - and maybe you can tell us whether it was Pres. Bartlett or your brother who tipped you off about the military shuttle.
This is hard to present in layman's terms, but I'll try and someone else can embellish or repair this. It's also hard to explain without a picture. Maybe theres an illustratiion on Wikipedia under "tests of significance". (I should be working at the moment, so this will be fast....)
Basically the idea is that this is a test whether the regression coefficient is large enough relative to its standard error to be distinguished from being merely random, i.e. is the t-ratio (the coefficient divided by the standard error) larger than could occur by chance alone.
The standard setup in these regression analysis packages is to assume that a two-tailed test is appropriate, i.e., that the test should be whether the ratio is significantly large so that it falls into either extreme of the probability distribution (think of the tails of a normal or "bell" curve). But when the researcher has a hypothesis that specifies that the expected or hypothesized regression coefficient is in a particular direction (or has a particular sign, positive or negative), then the appropriate statistical test is to ask whether the coefficient falls into the tail at just one end of that normal (bell shaped) curve.
In effect, the STATA specificiation may be asking whether the coefficient is large enough to be excluded from falling into either tail of the curve, but if there is a hypothesized direction (positive or negative) to the hypothesis, the test ought to be "easier" to satisfy -- in fact, it should be twice as easy to pass the test, since only one end of the curve is involved.
Lots of times researchers inadvertently impose a stricter test of significance therefore than the theory or hypothesis implies. Or, if they don't have a strong prior theory about the direction (positive or negative) of the coefficient, they may insist that any regression coefficient pass a two-tailed test -- a more conservative test of significance.
In the present instance, I think Nate's theory implies that a less conservative test is appropriate -- a .05 probability using a one-tailed test.
After listening to a WNYC program where local journalists were mindful of having not covered where the money went in the previous bailout and determined to follow the money on the new one this news came out: 1. Larry Summers is controlling the details of to where, whom, how much. 2. The amount weighted towards states is disproportionate to need (a la homeland security money). For example, Wyoming is receiving the largest bailout per capita and Michigan is receiving the lowest per capita although it is perhaps highest in need i.e. another hasty deal.
We need to go fix the banks the same way we fixed the S and L's after the first Bush brought on that crisis (with an assist from John McCain). Nationalize them, clean up the blance sheets, and tthen spin them to the public with a clean balance sheet. Also, wipe out all stock holder and executive comp in the process, and fire all the top management very publicly.
Just because liberals voted for the bailout does not make it a more principled progressive position.
Does this bailout transfer tax dollars into the hands of the wealthy? Does it represent a trickle down approach? The true progressive position would probably be to vote against the bailout. But the bailout is vague and people see what they want it it. And many hope Obama will use it progressively. Many pressures influenced the votes, but the votes don't prove the progressive merit of the bill.
Hey Nate: what statistics software are you using? I don't recall ever seeing a screen shot of it.
"So money/lobbying from the industry a factor in some of these votes "
You seem to be missing a verb.
How about a proofreader?
Great post Nate. Even though your interpretation of politics is also pretty good, there are probaly more people here because of your analysis. So don't hesitate to show us how you got there instead of just saying how it is.
I have no problem with the bailout, but only because I believe that the financial sector will be "punished" for its recklessness. Socializing risk while privatizing gains needs to stop. And I hope the Dems do exactly that. This is must be the end of the exaggerated free-market-ideology.
I guess if we had not bailed out the banks we would be back in 1932 by now. Even Citibank and the Bank of America would have collapsed and the financial system would be in shambles. The bailout was a bitter pill to swallow but it had to be done, hopefully for the last time.
Great post and very interesting. I would be much more convinced that you proved your point, however, if you had included a list of all representatives, rather than just the cherry-picked top and bottom 10. That would really allow me to see how effective your statistical model is at predicting the votes.
Also, perhaps this is already part of the stats shown, but it would be helpful and interesting to know to what extent each of the factors you list is driving the vote. In other words, how powerful was vote share, relative to retire, relative to etc., as a predictor of vote.
Here is the position that I think President Obama is trying to move Congress towards.
A well-regulated but otherwise free market.
Extremely liberal policies would require over-management of the market. This leads to DEMAND side problems. Too much money pursuing limited investment opportunities. The market is choked because government makes inefficient choices.
Extremely conservatives policies would require NO management of the market. Basically, the market self-regulates. Alan Greenspan was shocked, SHOCKED to see that bankers might not have investors best interests in mind, as opposed to serving their own greed.
What neo-Keynesian and therefore President Obama's policies reflect:
1) Ensuring that there is effective oversight of market activities.
2) Ensuring that there is adequate risk and reward in the market which is NOT hidden by hyper-agressive investment schemes
3) Using government spending as a short-term STIMULUS
4) As quickly as possible, reduce or stop government STIMULUS spending, allowing a well-regulated but free market to build wealth for ALL americans.
"All right -- so, running raw regression output probably isn't going to endear me to very many of you."
Are you kidding? Statistics are what got most of us hooked on 538 to start with.
Nice work. And I even endorse inclusion of the not-quite-significant Dem_Leader term. In the real world, when you're trying to build a model, you sometimes include variables that you "know" belong, even if they fail to meet some specific test.
In the academic world, where the goal is defensibility, rather than usefulness, that's not done. But in the practical world, there's no magic separating 1.95 SE's from 1.97.
Every single purist who commented has forfeited their right to be picky - they all forgot that the data isn't randomly drawn from a larger universe. Because there's no reason to believe the error terms are uncorrelated, STATA's confidence intervals aren't warranted anyway - they're almost certainly narrower than they should be.
If members of any caucus or other grouping communicated before the vote and then altered their votes to conform more closely to the norm within the group, all the statistical assumptions underlying regression analysis are violated. It's putting it very mildly to say that such conduct "may" have occurred. Also, if the supposedly "independent" (predictor) variables are actually correlated - which they certainly are - STATA's confidence intervals will be too narrow. Finally, if Nate ran a number of analyses, and only presented the one he felt worked best, he violated the technical assumptions underlying the program.
But so what? In a model like this, we relax our assumptions of data purity, but we need to keep in the back of our minds that the analysis should be regarded as illustrative.
This is really good. There are three main streams of theory regarding agenda setting and how members, more or less, choose to vote for something. Your analysis falls squarely in the Partisan camp. Party matters most because party sets the rules and agenda and majority party has a tremendous set of rules to work with.
Next time, however, you could contribute substantially in the political science literature if you take on the other main theories; distributive and information theory. The first one is based around the premise that Congress works around log rolling. "I'll scratch your back if you scratch mine." The Information types say, among other things, that party doesn't matter and that people want to become specialized in a given subject and then those less specialized will take voting cues from the specialized one.
So. The Distributive guys would say that the groups who voted for this got something from Obama, or whoever was the case, in order to vote for it and expects something in return eventually. The Information guys would say that the numbers don't break down along party lines and that, ideologically, there would be a fairly "normal" (and I mean that in the statistical sense) distribution.
In any case. Next time, you should control for NOMINATE scores as well. I was so excited when you mentioned them a while ago because they are the standard of measuring "ideology" in Congress even if they are a bit specialized.
well if Rahmbo does cast a vote for the bailout as Nate predicts above, then I will be very impressed by this prediction as well as Obama's ability to manage the Congress by changing the rules as needed...
Good job Nate. Come on.....do one for the current stimulus bill before the vote!!!!
couldn't you have just called sirota a "doody-head" and spared us all the analysis?
It was only a matter of time before a regression table was posted. I love it! Seriously, the more screen shots of output from stata the better!
Berekely,
You are exactly right about the term "progressive." It has been co-opted by various members of the left who have sheepishly shied away from more appropriate labels such as "liberal" or "socialist." However, their watering down of the term and increasing tendency to equate "pure progressivism" with the likes of Ralph Nader is demonstrably contrary to its history. The likes of Sirota, who don't have the balls to endorse the socialism they desire, just indicates their fundamental dishonesty and cowardice.
There is nothing wrong with socialism. It is a perfectly valid ideology that has delivered positive results in many part of the worlds, but please, it's not the same thing as "progressivism," which arguably has its furthest roots among the Federalists.
Personally, I would like Obama to direct his Lincoln-infatuation to the economic sphere with an embrace of Lincoln's Whiggist economic nationalism: less emphasis on social welfare, more emphasis on infrastructure renewal and national self-sufficiency. The 21st century, doesn't require a new New Deal, it requires a new American System.
I like this analysis. To better get at what is ''progressive'' behavior, we need to get some institutional, electoral, and political variation on the question. One good approach would be to conduct similar analyses on the deregulation votes in the late 1990s. For example, if I recall correctly, banking deregulation passed in 1999, after the congressional elections of 1998 and well before the first presidential primaries. Perhaps the most appropriate way to gain traction on the question would be to isolate those MCs (Members of Congress) who voted BOTH on banking deregulation in the late 1990s and the recent bailout measures.
Nate,
More raw STATA output, please. I had a total geekgasm when I saw this, prompting me to make my first comment since mid-November. =)
@Alex S
"Socializing risk while privatizing gains needs to stop."
"Socializing risk while privatizing gains needs to stop."
"Socializing risk while privatizing gains needs to stop."
That was so well said- Thank you thank you thank you.
@ Nate: Please continue to show us the regression out put- but PLEASE make them bigger-
OT: our heyday of hope
the new HOTLINE poll has some interesting #'s on public understanding & support for the TARP as well as the stimulus package
@ http://www.diageohotlinepoll.com/documents/diageohotlinepoll/DiageoHotlinePoll_Topline_01.27.09.pdf
plus Obama 'favorables' and 'approval' as well as 'confidence'
Mmmmm....raw Stata output...[Homer Simpson yummy noise]...
Since the National Journal breaks down their rankings into 3 categories, it might be interesting to analyze the vote on the stimulus based on how the members of congress voted solely on economic matters. This may be more revealing than merely looking at the members overall liberal ranking. For example, Kucinich, the apotheosis of liberalism for many progressives, actually votes relatively conservatively on economic issues.
Nice job on showing your work, but I'm saddened to see you're a STATA person rather than an R person. I realize it's off topic, but I'd be interested to know if you've tried both and why you like STATA.
@MrsB: in case the explanation by Juris was too full of geekspeak for you to puzzle out,
In any statistical test, the "P" value is answering the question, "What is the probability that we would get data this far from the expected average, by sheer random chance, although there is no real effect, just some noise-fluctuations among the numbers like you always find?" If the "P" value is too high (and more than 5% is usually considered too high) then you say you have no "significant" evidence that there is any real effect: the pattern you are seeing could be explained by random chance.
In a "one-tailed" test, the "P" is the probability of randomly getting data this far from the average *in one particular direction*, while in a "two-tailed test", the "P" is the probability of getting data this far from the average *in either direction*. You are justified in using a one-tailed test if you have good reason to think that genuine variations in the opposite direction just don't happen. There is one context where it is against the law to cite data using a one-tailed test: if you are trying to provide that a drug has a beneficial effect (you are not entitled to assume that variation in the opposite direction, the drug genuinely making the patients sicker rather than healthier, does not occur!)
wv: I am a walking "pedia" of trivial knowledge.
Thans, Bob X. That was nice.
"Nice" is a term that my freshman math teacher liked to use a lot to describe functions that had useful properties.
An interesting plot, not just for this vote, but for all votes, might be the political compass (www.politicalcompass.org), with all of the representatives' votes indicated at their position on the left-right / authoritarian-libertarian compass. I think this might be a more effective way to demonstrate the nonpartisan nature of the bailout vote. Not sure where you could find individual members' compass positions, but once prepared, it could make for some interesting plots.
What about an interaction effect between voteshare and libcons?
Nate wrote: "...On the one hand, the banking industry may have had some influence on certain of the 'yes' votes. On the other hand, I see demagoguery in certain of the 'no' votes, particularly as retiring congressmen -- those who are presumably freest to evaluate the bill on its merits -- were overwhelmingly inclined to support the bailout."
I'm wondering if a congressman's hope for a job in the private sector after retiring had any influence on his vote?
Honestly Nate, I think you give them all too much credit. They just make stuff up. They lie. They will do anything to be negative because they have no idea how to do anything else.
I think Sirota's comment reflects the fact that the extreme ends of the political spectrum sometimes share more things in common than segments that are more moderate but still opposed
hey nate.. can you post the data somewhere? .csv format is fine...dta of course is good too..that would be much appreciated..
Math. hurting. my brain.
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