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Congressional Democrats are pushing to give most Americans $2,000 stimulus checks, arguing that this is a fast and direct way to help millions of Americans as they struggle with the economic slowdown caused by the COVID-19 pandemic.3 President Trump supports $2,000 payments, too, but most congressional Republicans don’t. Because of that congressional GOP opposition, the $2,000 checks aren’t likely to become law. But Democrats think they have a winning issue electorally ahead of next week’s U.S. Senate runoffs in Georgia.

Watch: https://abcnews.go.com/fivethirtyeight/video/pollsters-sitting-georgia-runoffs-74939804

Public opinion does appear to be on Democrats’ side. Seventy-eight percent of Americans said they supported these $2,000 stimulus checks, compared to 17 percent who opposed them, according to a poll conducted Dec. 22-28 by the left-leaning Data for Progress. Similarly, a survey conducted by Business Insider and Survey Monkey on Dec. 21 found that 62 percent of Americans said that the $600 stimulus checks adopted in a recent bill is not enough; 76 percent said the payments should be more than $1,000.

[Why A Split Verdict In Georgia Isn’t That Crazy]

So Democrats are pushing the issue hard. Georgia Senate candidates Jon Ossoff and Raphael Warnock have strongly embraced the $2,000 payment plan. Their Republican opponents, Sens. Kelly Loeffler and David Perdue, are also suggesting that they support the payments. But Senate Majority Leader Mitch McConnell is creating procedural roadblocks to stop the $2,000 payments from passing the Senate, giving Ossoff and Warnock the opportunity to suggest that Loeffler and Perdue are impediments to the payments, since they back McConnell continuing as majority leader.

So this all seems good for the Democrats, right? Well, maybe. Democrats are pushing a popular idea right before what look like very-close elections, and the Republican Party is blocking it. The issue could well help Warnock and Ossoff in Georgia next week. But we shouldn’t be so sure, for a few reasons …

First, it’s not clear that voters care that much about policy when deciding who to vote for.

The most reliable predictor of how Americans will vote is partisanship: Republican-leaning voters back Republican candidates, and Democratic-leaning voters back Democratic candidates. Those partisan labels and identities, of course, contain ideological and policy overtones: The Republican Party, rhetorically at least, is warier of big, broad-based spending programs than the Democratic Party. But those overtones don’t seem to drive vote choice. There are plenty of examples of a party pushing unpopular ideas without its voters switching to the other party. For instance, the GOP agenda in 2017 and 2018, trying to repeal Obamacare and cut taxes for corporations, was fairly unpopular with Republican voters, but those voters still overwhelmingly backed GOP candidates in the 2018 midterms.

The Data for Progress polling suggests that 73 percent of Republicans nationally support the $2,000 payments, including 52 percent who strongly support them. Based on those numbers, it’s almost certainly the case that a majority of Republicans in Georgia support the payments. Indeed, a DFP poll of Georgia likely voters conducted Nov. 15-20 found that 63 percent of voters in the state said that they would be more likely to support a candidate who favored a $1,200 payment to most Americans as part of a COVID-19 relief package. That 63 percent number also suggests these payments are broadly popular and getting some backing from rank-and-file GOP voters.

But it’s very unlikely that many Republicans will back the Democratic candidates in Georgia because of this issue. Yes, both elections appear to be close, so even a small shift in voting preferences matters. But in such a close election, if either Ossoff and Warnock narrowly win, I would be hesitant to ascribe that victory to Democrats’ support of this stimulus payment and McConnell’s opposition, as opposed to factors like Democrats’ strong get-out-the-vote operations in the state, the weaknesses of Loeffler and Perdue as candidates and the growing liberalism of Georgia.

[Related: Why Georgia Isn’t Like The Other Battleground States]

What about swing voters/independents and other people who aren’t necessarily tied to one of the two parties? Well, the evidence suggests that these kinds of voters don’t necessarily have well-defined policy preferences and also don’t pay that much attention to politics. So perhaps this stimulus debate convinces them that Republicans in Washington need to be dethroned. Alternatively, perhaps these voters aren’t as tuned into this stimulus debate as much as, say, Loeffler’s ads casting Warnock as a radical or Warnock’s ads portraying himself as a nice dog owner.

Second, voters may like Democratic economic ideas more than Democrats themselves.

Over the last several years, ballot initiatives to increase the minimum wage and to expand Medicaid have passed in conservative-leaning states where GOP state legislators and governors had blocked similar policies. But Republicans are still winning elections in these areas. This happened in Florida this year. A proposal to gradually increase the minimum wage to $15 per hour by 2026 passed in the Sunshine State, with 61 percent of voters embracing it. But Joe Biden, who strongly supports a $15 minimum wage, won only 48 percent of the vote in Florida, compared to 51 percent for Trump, who has been more circumspect about minimum wage increases.

These voting patterns are another illustration that partisanship overrides — or is simply independent from — voters’ policy preferences, but there are other potential reasons for this disconnect. Voters may support certain economically populist ideas but may be wary of too much economic populism if they elect a Democratic candidate. Some voters may support Democrats’ economic populism but not back the party because it is too progressive on issues like abortion rights or policing. For example, in the 2016 election, Lee Drutman, a scholar at New America and a FiveThirtyEight contributor, found that voters who lean conservative on issues like immigration but who lean left on economic issues were more likely to back Trump than Hillary Clinton. And lastly, many voters are simply not attuned to which party or candidate favors which policies.

When you bring this to Georgia, you could easily imagine some swing voters who support $2,000 payments to Americans but are even more supportive of backing the GOP Senate candidates and ensuring that Democrats in Washington don’t have control of the White House and both chambers of Congress.

Finally, Trump has scrambled the politics on stimulus checks.

You could also imagine some voters are just confused about this issue. If Trump strongly supports the $2,000 checks and Loeffler and Perdue are indicating support for them, too, it might not be totally clear to voters that the broader Republican Party still opposes the payments and is the roadblock to them being approved. Particularly in this lame-duck period for Trump, McConnell is the most important Republican in Washington in terms of policy. But Trump remains the defining figure for the party to most voters and in an electoral context. If Trump is declaring he supports the $2,000 payments, voters in Georgia might conclude that Republicans more broadly support them, even as McConnell is blocking the payments and Loeffler and Perdue are effectively helping him do so, as is the case here.

[What The Early Vote In Georgia Can — And Can’t — Tell Us]

All that said, this debate about the direct payments coinciding with the Georgia election has shown how electoral politics and governance intersect in interesting ways. While it is not clear if the debate over the stimulus payments will affect the election results, it is clear that the upcoming election has affected the stimulus debate. Republicans were reportedly worried about opposing direct payments on the eve of the Georgia race, helping ensure that $600 for most Americans was put into the COVID-19 economic stimulus that Trump signed into law on Sunday. Republicans are now worried about a potential electoral backlash in Georgia from opposing the $2,000 payments. Those electoral concerns have resulted in Loeffler and Perdue, who usually take more conservative stands, breaking with McConnell and other Republicans to publicly support the payments. (Of course, Loeffler and Perdue are likely to go along with McConnell’s strategies to make sure the $2,000 payments don’t become law.)

So Democrats may have figured out how to get more populist policies adopted: Push them around election time. But even if Ossoff and Warnock win next week, the evidence that popular economic policies are automatically electoral boosts for Democrats will be somewhat weak.

Watch: https://abcnews.go.com/fivethirtyeight/video/covid-19-vaccine-means-political-battles-74728009

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Over the course of 2020, FiveThirtyEight’s visual journalists covered a historic election, an unprecedented year in sports, a raging pandemic and an economy in free fall. So to cap off this long, strange, difficult year, we’re continuing our tradition of celebrating the best — and weirdest — charts we’ve published in the last 12 months. Charts are grouped by topic, but they’re not listed in any particular order beyond that. Click any of them to read the story where they originally ran. Enjoy!

Politics

Election 2020

Sports

COVID-19 and its economic fallout

Did you enjoy this long list of weird charts? Then boy do we have content in the archives for you! Check out our lists from 2019, 2018, 2016, 2015 and 2014.

Watch: https://abcnews.go.com/fivethirtyeight/video/covid-19-vaccine-means-political-battles-74728009

Watch: https://abcnews.go.com/Health/video/people-hesitant-trust-covid-19-vaccine-74659883

Watch: https://abcnews.go.com/fivethirtyeight/video/1200-books-trump-us-fivethirtyeight-politics-podcast-74787247

Watch: https://abcnews.go.com/fivethirtyeight/video/emily-oster-made-covid-19-database-fivethirtyeight-74677267

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DMT (2020) draw attention to my treatment of the weighted WTP estimates. The regression model for the second scenario has a negative sign for the constant and a positive sign for the slope. When I “mechanically” calculate WTP for the second scenario it is a positive number which adds weight to the sum of the WTP parts. This is in contrast to the unweighted data for which WTP is negative. Inclusion of the data from this scenario biases the adding-up tests in favor of the conclusion that the WTP data does not pass the adding-up test. 

The motivation for my consideration of the weighted data was DMT’s (2015) claim that they found similar results with the weighted data. My analysis uncovered validity problems with two of the five scenarios which, when included in a adding-up test, led to a failure to reject adding-up. At this point in the conversation it will be instructive to visually examine the weighted data to see if it even passes the “laugh” test. In my opinion, it doesn’t. 

Below are the weighted votes and theTurnbull for the whole scenario (note that the weights are scaled to equal to sub-sample sizes). The dots and dotted lines represent the raw data. Instead of a downward slope, these data are “roller-coaster” shaped (two scary hills with a smooth ride home). The linear probability model (with weighted data) has a constant equal to 0.54 (t=9.73) and a slope equal to -0.00017 (t=-0.69). This suggests to me that the whole scenario data, once weighted, lacks validity. While lacking validity, the solid line Turnbull illustrates how a researcher can obtain a WTP estimate with data that does not conform to rational choice theory. The Turnbull smooths the data over the invalid stretches of the bid curve (the “non-monoticities” using the CVM jargon) and the WTP estimate is the area of the rectangles. In this case WTP = $191 which is very close to the unweighted Turnbull estimate. But, a researcher should consider this estimate questionable since the underlying data does not conform to theory. As a reminder, the WTP for the whole scenario is key to the adding up test as it is compared to the sum of the parts. The WTP estimate from linear logit model is $239 with the Delta Method [-252, 731] and Krinsky-Robb [-8938, 9615] confidence intervals. Given the statistical uncertainty of the WTP estimate, it is impossible to conduct any sort of hypothesis test with these data. 

Below are the weighted votes and the (pooled) Turnbull for the second scenario. The dots and dotted lines represent the raw data. Instead of a downward slope, these data are “Nike swoosh” shaped. The linear probability model (with weighted data) has a constant equal to 0.13 (t=2.46) and a slope equal to 0.00107 (t=4.19). This suggests to me that the second scenario data, once weighted, lacks validity. Again, the Turnbull estimator masks the weakness of the underlying data. In this case, the Turnbull is essentially a single rectangle. With pooling the probability of a vote in favor is equal to 28.06% for the lower bid amounts. With pooling the probability is 27.56% for the higher bids. The Turnbull WTP estimate is $112 which appears to be a reasonable number, hiding the problems with the underlying data. 

DMT reestimated the full data model with the cost coefficients constrained to be equal. In a utility difference model the cost coefficient is the estimate for the marginal utility of income. There is no reason for marginal utility of income to vary across treatments unless the clean-up scenarios and income are substitutes or complements. This theoretical understanding does not explain why the weighted models for the whole and second scenarios are not internally valid (i.e., the cost coefficient is not negative and statistically different from zero). The model that DMT refer to passes a statistical test, i.e., the model that constains the cost coefficient to be equal is not worse statistically than an unconstrained model, but it should be considered inappropriate due to the lack of validity in the weighted whole and second scenario data sets. Use of the model with a constrained cost coefficient amounts to hiding a poor result. The reason that the weighted model with the full data set takes the correct sign is because the scenarios with correct signs outweigh the scenarios with incorrect or statistically insignificant signs. The reader should attach little import to DMT’s (2015) claim that their result is robust to the use of sample weights. 

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