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Online First [Quarterly Journal of Economics] doi:10.1093/qje/qjag019 Online 1 Apr 2026

"Compensate the Losers?" Economic Policy and the Origins of U.S. Partisan Realignment

Ilyana Kuziemko

Nicolas Longuet-Marx

Suresh Naidu

What this paper finds — and why it matters

Layer 1 — Overview

Research Question. Why have less-educated voters in the United States abandoned the Democratic Party over recent decades? The paper argues that the Democratic Party’s evolution on economic policy — specifically its retreat from “predistribution” — is a central, previously understudied driver of partisan realignment by education.

Conceptual Framework. The authors distinguish between two categories of egalitarian economic policy: (1) predistribution — policies that alter the pre-tax-and-transfer earnings distribution, including job guarantees, minimum wage increases, union support, and protectionist trade policies (following Hacker 2011); and (2) redistribution — taxes and transfers. The paper’s central claim is that these two types of policy have sharply different educational gradients among voters, and that the Democratic Party moved away from predistribution beginning in the 1970s, triggering educational realignment.

Data and Methodology. The authors harmonize over 1,000 surveys (N ≈ 2.2 million observations) spanning 1942–2020, drawn from Gallup, ANES, GSS, CCES, and historical survey archives housed at iPoll/Cornell. Education is translated into a common metric (adjusted years of schooling) using Census data, controlling for sex, race, year, and birth cohort to address the changing selectivity of educational categories over time. Congressional roll-call data come from the Comparative Agendas Project (CAP). Campaign finance data come from FEC filings, Congressional hearing records, and watchdog sources. DLC membership data are compiled from official Democratic Leadership Council records (available for 1985, 1986, 1991, 1993, and 1997 onward) and DLC-aligned Congressional caucus lists. House election returns are taken from King and Palmquist (1997) at the minor-civil-division-group (MCDG) level (~60 units per Congressional district), matched to 1980 Census demographic data.

Main Findings.

Voter preferences (demand side): The educational gradient for predistribution is large and negative: averaged across the four predistribution questions (job guarantee, minimum wage, union support, trade protection), each additional year of education reduces support by 0.044 standard deviations (p < 0.001). A college graduate relative to a high school graduate supports predistribution 0.176 standard deviations less — equivalent to roughly half the average Democrat-Republican gap in predistribution support (which is 0.34 standard deviations). This gradient has been stable since at least the 1940s. By contrast, the educational gradient for redistribution (higher taxes on the rich, views on own taxes, welfare spending) is close to zero (summary β = 0.004, not distinguishable from zero in the full sample). The difference between the two gradients is statistically significant (p < 0.001). These results replicate in white-only samples. Notably, the educational gradient on social issues — measured across nine questions on racial attitudes, gender roles, sexual norms — is positive (more education predicts more liberal positions) but has been largely stable since the 1940s, not increasing, conditional on the long-run sample.

Party supply (supply side): Before 1976, predistribution topics accounted for roughly one-quarter of Democratic House roll-call votes when Democrats controlled the chamber. After 1976 (taking Jimmy Carter’s presidency as the start of the “New Democrat” era), this share falls by approximately nine to ten percentage points, while the redistribution share of votes holds steady. Between 1968 and 1980, the union share of total PAC donations to Democratic Congressional candidates falls from approximately 90 percent to 40 percent, coincident with 1970s campaign finance reforms that placed union and corporate PACs on equal legal footing and allowed corporations to exploit their naturally deeper pockets. Corporate PAC share of Democratic donations correspondingly rises from approximately 10 percent to 45 percent over the same period. In individual contributions to primary elections (data beginning in 1980), Democratic primaries rely on increasingly more-educated census tracts relative to Republican primaries; by 2018 Democratic primaries are financed from census tracts averaging 0.41 more years of education than Republican primaries (against a within-year standard deviation of 1.56 years).

The New Democrat/DLC faction: The authors identify the anti-predistribution faction through official DLC membership records and aligned caucus lists. DLC membership as a share of Democratic House seats grows from near zero in the mid-1970s to approximately half by the early 2000s. Roll-call voting analysis (N = 3,428,405 vote-observations) shows DLC members are more conservative than other Democrats overall, and especially so on predistribution: for a 10-percentage-point increase in the share of Republicans voting for a bill, the probability a DLC member votes in favor increases 36 percent more on predistribution bills than on other bills. DLC members show no differential conservatism on redistribution. They are also significantly more socially conservative — more likely than other Democrats to support the Defense of Marriage Act (by 16 pp), the Partial-Birth Abortion Ban (by 7 pp), and restrictive immigration bills (by 10 pp). DLC candidates receive significantly less from labor PACs and significantly more from corporate PACs, and draw their out-of-district individual donations from census tracts averaging more than 0.1 years more educated than non-DLC Democrats.

Voter reaction and the inflection point: Using the N ≈ 2.2 million partisan identification dataset, the authors estimate a structural break in the education-party identification gradient. From the 1940s through the mid-1970s, each additional year of education reduces the probability of identifying as a Democrat by approximately 3 percentage points. A Chow breakpoint test identifies 1976 as the inflection point. Since 1976, the gradient steadily rises; by 2000 it reaches zero; and today (as of the sample period end ~2020) each additional year of education increases Democratic identification by approximately 3 percentage points — an almost exact reversal. The breakpoint for Republican identification occurs later, in 1992, consistent with the Democratic agenda changing first. A Gallup prosperity question (“which party will better keep the country prosperous?”) shows a parallel pattern: controlling for views on parties’ economic performance explains approximately 44 percent of partisan realignment, interpreted as an upper bound on economic policy’s contribution.

Factional tests — hypothetical elections and actual results: In hypothetical general-election matchups from 1972–1992 Democratic primaries (in which most contests pitted a “New Democrat” against an “Old Democrat”), a voter with a college degree is roughly 3 percentage points more likely to vote Democratic when the candidate is a New Democrat rather than an Old Democrat. In 1980s actual House elections using MCDG-level data, DLC candidates out-perform other Democrats in more educated neighborhoods by a magnitude large enough to erase approximately 90 percent of the general Democratic underperformance in highly educated areas. Combining these estimates, the party’s shift toward the DLC accounts for a lower bound of approximately 20 percent, and an upper bound (from the prosperity question) of approximately 50 percent, of educational realignment.

Scope Conditions. The analysis focuses on the United States, 1942–2015 (with some post-2015 discussion in the conclusion). The faction analysis focuses on the Democratic side; Republican faction changes are discussed but not the primary focus. The paper is explicit that between 20–50 percent of realignment is explained, leaving room for other factors, including social issues. The analysis ends mostly before 2016 to avoid complications from the closure of the DLC in 2011 and shifting post-2010 party dynamics.

Layer 2 — Q&A

Q1: What is the paper’s central conceptual innovation, and how does it differ from prior realignment research? The paper separates egalitarian economic policies into “predistribution” (pre-tax-and-transfer market interventions such as minimum wages, job guarantees, union support, and protectionism) and “redistribution” (taxes and transfers) and shows these two types have sharply different educational gradients. Prior work typically aggregated all economic policies into a single index, which the authors argue masks essential heterogeneity. By documenting that the educational gradient is large and negative for predistribution but close to zero for redistribution — a pattern stable since the 1940s — the paper reframes the “voting against economic interest” puzzle: less-educated voters leaving the Democratic Party may be responding rationally to changes in the supply of the type of economic policy they actually prefer.

Q2: How large and stable is the educational gradient on predistribution, and how does it compare to social issues? The average coefficient on adjusted years of schooling across the four predistribution questions is -0.044 (p < 0.001), stable over eight decades. A four-year difference in education (high school vs. college) shifts an individual’s support for predistribution by 0.176 standard deviations in the conservative direction — about half the average Democrat-Republican gap in predistribution support (0.34 standard deviations). For social issues, the summary gradient is positive (+0.028, p < 0.001 for the full sample), but this gradient has been largely stable since the 1940s across nine social issue questions, not increasing over time. This stability undermines the interpretation that rising social liberalism among the educated is a new phenomenon driving realignment, at least through the supply of parties’ social positions.

Q3: What happened to predistribution as a share of the Democratic House agenda after the 1970s? Using the Comparative Agendas Project classification, predistribution topics (labor regulation, industrial policy, public works, trade) accounted for roughly one-quarter of all House roll-call votes during years Democrats controlled the Speakership before 1977. After 1977, this share falls by approximately 9–10 percentage points (a decline of nearly half from its pre-1977 share), and the decline is statistically significant (p < 0.001). The redistribution share of votes holds essentially constant. Party platform data from Hopkins et al. (2022) show a sharp decline in Democratic use of terms like “minimum wage,” “full employment,” and labor-relations language beginning in the 1970s and 1980s, while Republican platforms use these terms sparingly throughout.

Q4: How did 1970s campaign finance reforms change the financial composition of the Democratic Party? Before the early 1970s, unions enjoyed substantially more freedom than corporations under separate legal regimes governing PAC donations; mid-1970s reforms placed them on equal legal footing, enabling corporations to exploit their deeper pockets. The union share of total PAC donations to Democrats fell from approximately 90 percent in 1968 to approximately 40 percent by 1980, while the corporate share rose from approximately 10 percent to 45 percent. For Republicans, both series barely changed: unions had never donated substantially to the GOP, and the corporate share rose only modestly (from approximately 70 to 80 percent). The authors note the rapid decline cannot be attributed to falling union density in the economy, since both union and corporate PAC donations grew in absolute terms during this period; the relative shift was the result of the regulatory change.

Q5: Who are the “New Democrats” / DLC, and when did they emerge? The DLC officially operated from 1985 to 2011, but members who would join it began entering Congress in large numbers in the 1970s (“Watergate Babies” of 1974, “Atari Democrats”). The DLC grew to approximately half of all Democratic House seats by the early 2000s. Members were drawn from suburban, affluent districts; their founder Al From explicitly criticized all four predistribution policies the paper studies (minimum wage, job guarantees, unions, and protectionism). The breakpoint test on DLC share in Congress identifies 1975 as the pivotal year — one year before the 1976 inflection point in partisan identification.

Q6: How do DLC members vote differently from other Democrats, and how is this differential conservatism distributed across policy types? In roll-call regressions (N = 3,428,405 observations, with roll-call fixed effects), a 10 pp increase in the Republican vote share for a bill increases the probability a DLC member votes in favor by 1.48 pp more than for other Democrats (baseline result for all bills). For predistribution-classified bills, this excess alignment with Republicans is 36 percent larger than for non-predistribution bills. Crucially, DLC members are no more conservative than other Democrats on redistribution-classified votes (the interaction with redistribution is near zero and insignificant). DLC members are also differentially more conservative on social issues, a result that proves useful in separating economic from social-issue explanations of realignment.

Q7: Do DLC members finance differently from other Democrats? Yes. In primary elections, DLC candidates receive approximately 9.7 pp less of their PAC financing from labor unions and approximately 6.7 pp more from corporate PACs (with state fixed effects) relative to non-DLC Democrats. Out-of-district individual contributions to DLC primary candidates come from census tracts averaging more than 0.1 years more educated than those for non-DLC Democrats, while within-district contributions show no significant difference (0.060 years, insignificant). This pattern suggests educated out-of-district donors, rather than local constituency demands, drive DLC candidates’ anti-predistribution orientation.

Q8: When precisely did educational realignment in Democratic party identification begin, and what does the inflection-point analysis show? Using N ≈ 2.2 million observations from 1,006 surveys, a Bai-Perron breakpoint test on the year-by-year education gradient in Democratic party identification identifies 1976 as the inflection point (with robustness to alternative specifications yielding breakpoints of 1978–1980 for white-only samples and unadjusted years of schooling). Before 1976, each additional year of education reduces the probability of Democratic identification by approximately 3 percentage points (a stable, significantly negative relationship since the 1940s). After 1976, the gradient steadily rises; it reaches zero around 2000 and today is approximately +3 percentage points per year of education — nearly an exact reversal of the baseline. The corresponding Republican inflection point occurs in 1992, about 16 years later, consistent with the Democratic Party’s agenda changing first.

Q9: How do hypothetical presidential matchup surveys test the DLC mechanism? The authors identify six Democratic primaries from 1972–1992 where a “New Democrat” and an “Old Democrat” were the top two contenders (e.g., Hart vs. Mondale in 1984, Clinton vs. Brown in 1992). Gallup and other surveys asked all respondents — regardless of party — whom they would vote for if either the New or the Old Democrat faced the eventual Republican nominee. A voter with a college BA is approximately 3 percentage points more likely to vote for the Democrat when the candidate is a New Democrat versus an Old Democrat (the “difference in differences” of hypothetical vote shares). This holds after controlling for state × election fixed effects and in five of the six election cycles studied (the 1976 exception is attributed to Mo Udall’s low name recognition, with 28 percent of respondents unfamiliar with him in a May 1976 poll). The result is attenuated but remains marginally significant when excluding non-white respondents, consistent with New Democrats’ success with white voters due in part to their more conservative civil rights positioning.

Q10: What do actual House election results (MCDG-level data) show about DLC electoral performance by neighborhood education? Using 1980s House returns at the MCDG level (~60 neighborhoods per Congressional district), the authors regress Democratic vote share on neighborhood years of education interacted with a DLC candidate indicator, with Congressional district fixed effects. More-educated neighborhoods generally depress Democratic vote share (reflecting the still-negative overall educational gradient in the 1980s), but DLC candidates dramatically out-perform other Democrats in educated areas: the interaction coefficient is positive and significant, and its magnitude is large enough to erase approximately 90 percent of the general Democratic underperformance in highly educated neighborhoods. This result is robust to including District × Year fixed effects (so the identification comes from within-election, cross-neighborhood variation) and to adding controls for share white and share under age 35.

Q11: How much of educational realignment can the paper’s mechanism account for, and how is this calculated? Two bounding estimates are provided. Upper bound (~44–50%): controlling for a respondent’s view on which party is better for economic prosperity (from Gallup since 1950) explains approximately 44 percent of the change in the education-party identification gradient (specifically, the total difference in the unconditional gradient between the 1948–1967 baseline and 2001–2020 is 2.411 pp per year of schooling; after controlling for the prosperity question, the unexplained residual is 1.342 pp, leaving a share explained of 44.3 percent). Lower bound (~20%): the difference in the education gradient between matchups involving New versus Old Democrats in Table 4 (~0.75 pp) divided by the total realignment shift (~4 pp from pre-1976 to post-2008 for presidential voting) implies the faction shift accounts for at least approximately one-fifth of realignment. The authors interpret these as bounds because the prosperity question may partly capture party identification itself (upper bound concern), while the hypothetical matchup estimate misses the broader ideological shift not captured in a single election (lower bound).

Q12: Can social issues, Civil Rights realignment, or Republican changes better explain the 1970s inflection point? Three alternative explanations are addressed. (1) Civil Rights: Regional analysis shows that educated white Southerners left the Democrats in the 1940s–1960s (not the 1970s), consistent with their realignment being driven by Democrats’ liberal turn on civil rights rather than economic policy. After the 1960s, the South follows all other regions in the pace of educational realignment. (2) Republican changes: The Republican party identification inflection point occurs in 1992, about 16 years after the Democratic inflection in 1976. Reagan elections in 1980 and 1984 do not appear to have differentially attracted less-educated voters (the “Reagan Democrats” were not differentially less educated). (3) Social issues: The New Democrats were actually more socially conservative than other Democrats (more likely to vote for DOMA, anti-abortion bills, restrictive immigration legislation), yet they disproportionately attracted educated voters. This internal inconsistency rules out a pure social-issues explanation for why educated voters preferred the DLC faction. (4) Religion: Flexibly controlling for religious affiliation explains essentially none of partisan realignment (Appendix Figure A.24).

Q13: What is the role of out-of-district individual donors in shifting Democratic Party positions? Out-of-district primary donors are analytically important because they influence candidate supply without being able to vote in the election, isolating the “within-party” financial influence of educated supporters. By 1980, out-of-district primary donors to Democratic candidates already come from census tracts more educated than those for Republican candidates, even as local Democratic voters and within-district donors remain less educated than Republican counterparts. Democratic candidates also receive a substantially higher share of out-of-district contributions than Republican candidates — by almost 10 percentage points (Appendix Table A.7). Out-of-district donors thus represent a channel through which educated, anti-predistribution preferences are transmitted into the Democratic Party’s candidate supply before the electoral realignment is visible in vote totals.

Q14: Are predistribution policies becoming less popular overall, which might independently push Democrats away from them? The paper tests this alternative in Appendix Table A.9 and finds no evidence that predistribution has become less popular relative to redistribution over time. Predistribution appears on average more popular than redistribution across the sample period. If anything, support for predistribution has held steady or slightly risen relative to redistribution over time, conditional on the paper’s survey harmonization. The stability of the educational gradient (shown in Appendix Table A.10 to be unchanged even using educational rank within cohort rather than raw years of schooling) further suggests the negative education-predistribution relationship is a relative, not absolute, phenomenon — consistent with rising average education and stable preferences by education rank.

Key Concepts

Predistribution: Policies that aim to change the distribution of earnings or income before taxes and transfers are applied. In this paper, this comprises government job guarantees, minimum wage increases, support for unions and collective bargaining, and protectionist trade policies. Distinguished from redistribution in that it operates on pre-tax market income rather than post-tax outcomes. The paper uses this term following Hacker (2011): “a focus on market reforms that encourage a more equal distribution of economic power and rewards even before government collects taxes or pays out benefits.”

Redistribution: Policies that change post-market income through the tax and transfer system, including higher taxes on the rich, views on own tax burden, prioritization of tax cuts, and transfers to the poor (welfare spending). In the paper’s usage, redistribution is analytically distinct from predistribution and has a near-zero educational gradient, in contrast to predistribution’s strongly negative gradient.

Educational Gradient: The coefficient on adjusted years of schooling in a regression of an outcome variable (policy preference or partisan identification) on education, estimated separately by time period. The paper’s core finding is that the educational gradient for predistribution is stably negative (approximately -0.044 per year of schooling over the full sample), while the gradient for redistribution is close to zero, and the gradient for Democratic party identification shifts from approximately -0.03 to +0.03 per year of schooling between the 1940s and 2020.

New Democrats / DLC (Democratic Leadership Council): An explicitly anti-predistribution faction within the Democratic Party, identified through official DLC membership records and affiliated Congressional caucus lists. Founded formally in 1985 (operating through 2011), the DLC arose in part from the “Watergate Babies” cohort of 1974. DLC members were more conservative than other Democrats especially on predistribution and social issues, relying differentially on corporate PACs and educated out-of-district donors. The paper treats DLC membership as a proxy for an anti-predistribution faction that gained bargaining power within the Democratic Party from the 1970s onward.

Adjusted Years of Schooling (AdjYearsEduc): The paper’s harmonized education variable across more than 1,000 surveys spanning eight decades. Because raw educational categories change over time and represent different selectivity (e.g., in 1940 only one-quarter of adults had completed twelfth grade, versus nearly 90 percent today), the authors use Census microdata to predict years of schooling as a function of self-reported educational category, sex, race, year, and birth cohort in ten-year bins. This provides a common unit of measurement across surveys with incompatible category systems.

Inflection Point (1976): The structural break in the trend of the education-Democratic identification gradient, estimated using Bai-Perron (1998) methods on N ≈ 2.2 million observations. The data select 1976 as the year at which the previously stable negative gradient begins its upward trajectory. The corresponding Republican inflection point occurs in 1992. The paper argues that identification of this inflection point — not previously documented in the realignment literature — is made possible only by the large historical dataset assembled.

Minor Civil Division Group (MCDG): The granular geographic unit used in the House election analysis for the 1980s, with approximately sixty MCDGs per Congressional district. Matched to 1980 Census demographic data to assign average years of education. Used to test whether DLC candidates out-perform other Democrats in more-educated neighborhoods, within the same Congressional district and election year, to address the concern that DLC candidates sort into more-educated districts.

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