Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-23T21:45:39.150Z Has data issue: false hasContentIssue false

Partisan Biases among the Unemployed

Published online by Cambridge University Press:  30 August 2023

R. Urbatsch*
Affiliation:
Department of Political Science, Iowa State University, Ames, Iowa, USA
Rights & Permissions [Opens in a new window]

Abstract

Unemployed people are relatively rarely studied in political science. Yet, with their economic significance and centrality to many political debates, they can provide insight on many questions, including just how far partisan biases – where opinions and even factual perceptions follow what reflects well on their holder's preferred political party – extend. The economic and emotional costs of joblessness make its evaluation an unlikely seeming case for partisan effects. Surveys in the United States and Great Britain nevertheless show that partisan alignment predicts unemployed individuals' evaluation of their economic situation: unemployed individuals identifying with parties represented in the national executive report more positively on their household finances (and on the national economic situation) than do non-partisans, while those identifying with the opposition report more negatively. These effects are especially substantial among people interested in politics. Even something as personal and affectively intense as unemployment is viewed through a partisan scrim.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press on behalf of Government and Opposition Ltd

Economic perceptions often diverge from seemingly objective conditions (Franko Reference Franko2017; Harris-Lacewell and Albertson Reference Harris-Lacewell and Albertson2005; Hopkins et al. Reference Hopkins, Kim and Kim2017; Orland Reference Orland2017; Sotirovic Reference Sotirovic2001). Notably, liking the incumbent government shapes opinions about the economy (Anson Reference Anson2016; Evans and Andersen Reference Evans and Andersen2006; Santoso Reference Santoso, Oscarsson and Holmberg2020), so that polling about the state of the economy often swings almost overnight when government partisanship changes (Gerber and Huber Reference Gerber and Huber2010; McCarthy and Jones Reference McCarthy and Jones2016). But macro-level outcomes are remote from day-to-day lives. Personal circumstances are much more vivid and salient (Weber Reference Weber2010): people forcefully receive information about their personal finances no matter how little they want it (perhaps especially when they do not want it). This greater likelihood of information about objective personal conditions would seem to leave less room for partisanship to drive perceptions. How much power does partisanship retain in evaluations of pocketbook, rather than sociotropic, conditions?

This study considers that question in the context of unemployment, an especially dramatic form of personal economic dislocation and so one concomitantly difficult for partisan sentiment to overcome. Survey responses from the United States and Great Britain show unemployed people who identify with a party represented in the executive branch to be less likely to report that their economic circumstances have really become worse. In fact, among those most interested in politics, the unemployed can be as likely to report that their finances have been improving as worsening. Despite the severity of unemployment, survey responses still show large partisan gaps depending on affinity for the incumbent government.

Perceptions of the economy and the politics of unemployment

Since jobs provide not only income but also identity, happiness and self-esteem (Brief et al. Reference Brief1995; Criscuolo et al. Reference Criscuolo2019; Helliwell and Huang Reference Helliwell and Huang2014; Jahoda Reference Jahoda1982; Linn et al. Reference Linn, Sandifer and Stein1985; Norris Reference Norris2016), unemployment often represents a devastating economic and personal shock. As such, it is a rich source of politically potent blame, including of the incumbent government (Aytaç et al. Reference Aytaç, Rau and Stokes2020; Lau and Sears Reference Lau and Sears1981; Pultz et al. Reference Pultz, Teasdale and Christensen2020). Job creation and preservation are thus lodestars of much policymaking: explicitly employment-heightening goals motivate not just labour policy, but also public education, international trade and migration relations, interest-rate determination and tax and industrial policy (e.g. Iredale Reference Iredale1999; Moore and Morton Reference Moore and Morton2017; Wu and Xia Reference Wu and Xia2016). Understanding publicly responsive political systems requires understanding responses to unemployment (Schlozman and Verba Reference Schlozman and Verba1979).

Unemployment's unstoppable political force, though, can crash against immovable partisan identities. Partisanship shapes many perceptions of the world (Bartels Reference Bartels2002; Feldman Reference Feldman2011; Stroud et al. Reference Stroud, Muddiman and Lee2014), so that alignment with the current incumbents affects attitudes not only towards politics and government (Keele Reference Keele2005; Krupenkin Reference Krupenkin2021; Wilkes Reference Wilkes2015) but also towards specific policies (e.g. Branham Reference Branham2018; Fernández-Albertos et al. Reference Fernández-Albertos, Kuo and Balcells2013; Kertzer Reference Kertzer2013; Macdonald Reference Macdonald2021). It also, notably, affects subjective reports of well-being, with co-partisans of the sitting government being more satisfied with their lot (Lench et al. Reference Lench2019; Liberini et al. Reference Liberini, Redoano and Proto2017) and asserting that conditions are better (e.g. de Vries et al. Reference de Vries, Hobolt and Tilley2018; Gerber and Huber Reference Gerber and Huber2009).

These partisan responses are ubiquitous, especially in the context of high polarization and negative affect towards partisan opponents (Achen and Bartels Reference Achen and Bartels2016): many people feel strongly attached to their political identity and sceptical of those with opposing identities. Such widespread responses might be expected to carry over to unemployed respondents, who after all share the foibles of human nature, but unemployment is a distinctive political experience. Losing a job can stir new and strong political feelings (Aytaç et al. Reference Aytaç, Rau and Stokes2020; Breakwell Reference Breakwell1986) and shift partisan evaluations (Wu and Huber Reference Wu and Huber2021), so that employment status can have an independent impact on partisan sentiments (Bankert Reference Bankert2021). This raises the possibility that unemployment may involve unique patterns of partisanship, and it is worth thinking how far the mechanisms leading to partisan bias apply in the specific context of unemployed people contemplating their own finances.

One relevant mechanism is the partisan ‘screen’ (Campbell et al. Reference Campbell1960), whereby people notice facts that support their partisan preference more than those that are inimical, and interpret those facts in ways reinforcing their favoured parties' messages. The brute circumstance of being unemployed is hard to overlook. It can, however, be spun to reflect less poorly on the incumbent government (Bisgaard Reference Bisgaard2019), such as by downplaying the role of government and policy in employment (Bisgaard Reference Bisgaard2015). This is all the easier when focusing on personal rather than national unemployment, since the national government has more obviously direct responsibility for nationwide outcomes, which might allow more room for partisanship in reacting to personal unemployment. On the other hand, blaming the unemployed for their own plight, an otherwise common reaction, may be less appealing when it requires blaming oneself. The unattractiveness of attributing fault to a common alternative scapegoat could mean that the government takes more blame from unemployed people regardless of their partisan preferences, reducing partisan differences.

Unemployment could also coexist with sanguine economic perceptions via a decision that unemployment is not really so bad, even if it is the fault of the incumbent party. This is a tall order: unemployment's blow to subjective welfare is impervious to other common insulating mechanisms, such as higher socioeconomic class (Andersen Reference Andersen2009), education (Clark and Oswald Reference Clark and Oswald1994) or social capital (Winkelmann Reference Winkelmann2009). Even when labour-market policies limit unemployment's financial losses, the unemployed feel economically worse off (Stutzer and Frey Reference Stutzer and Frey2004). Partisanship thus must have strong effects indeed if it genuinely cushions the subjective welfare loss that unemployment induces.

That ‘genuinely’ qualifier matters, though: partisanship need not have any palliating effects to make unemployed partisans report greater satisfaction with their circumstances. Supporters of a party, after all, often engage in partisan cheerleading, supporting their partisan team by voicing beliefs they may not truly feel (Bullock et al. Reference Bullock2015; Prior et al. Reference Prior, Sood and Khanna2015). This cheerleading is especially pointed in surveys focused on political questions (Bailey Reference Bailey2021). Even if identifying with the government actually does nothing to ameliorate unemployment's perceived economic cost, incumbent-supporting survey respondents may report greater contentment than they feel to make the government look better. However, partisan cheerleading in surveys has force to the degree that the government would generally be assumed to be responsible for the outcome being asked about. The government's heightened responsibility for national-level economic outcomes may then lead to larger cheerleading effects in answers regarding national economic outcomes than in answers about the respondent's personal financial situation.

With these various mechanisms at play, exploring partisan biases among the unemployed contributes to several scholarly conversations. The robustness of evidence for partisan inflection of economic perceptions has been disputed (e.g. McGrath Reference McGrath2017). The unemployed may offer a particularly powerful, critical test of the question by being relatively unlikely to show an effect of partisanship (Koivu and Hinze Reference Koivu and Hinze2017): the starkly tangible effects of personal unemployment seemingly offer less scope for unmoored partisan attitudes about general macroeconomic conditions to drive opinions. Methodologically, looking at people who are themselves directly affected by unemployment extends and intensifies the idea that local conditions moderate partisan perceptions of economic strength (Dickerson and Ondercin Reference Dickerson and Ondercin2017; Park and Reeves Reference Park and Reeves2020), taking ‘local’ to its logical conclusion of the individual person's job situation.

Surveying the unemployed

The general hypothesis of partisan biases would contend that the more an unemployed person identified with rather than against political parties in power, the more the person would report positive personal economic circumstances, just as co-partisans of incumbents generally tend to perceive other economic outcomes as positive. The above discussion, however, suggests that perceptions of personal economic circumstances may be less likely than other economic perceptions to have that partisan tendency. The discussion further raises the possibility that even if partisan effects regarding personal economic circumstances did arise, they might be especially limited for those who are unemployed. Personal economic outcomes amidst unemployment then present a particularly stringent test for partisan biases.

The effects of partisan alignments inherently relate to specific national contexts – polarization, clarity of responsibility and so on – since different countries' political and electoral institutions determine the structure of parties and salience of political identities (Hobolt et al. Reference Hobolt, Tilley and Banducci2013; Spoon and Kanthak Reference Spoon and Kanthak2019). The experience of unemployment, too, varies across countries (Bennett Reference Bennett2016; Chen and Hou Reference Chen and Hou2019; Mousteri et al. Reference Mousteri, Daly and Delaney2018). The United States' generally stingy welfare state, for example, may exacerbate unemployment's economic consequences, limiting partisanship's ability to cover the blow (Chang Reference Chang2020; Wanberg et al. Reference Wanberg2020). Americans' tendency to identify themselves with and by their jobs may also mean unemployment leads to a more devastating loss of identity (Budd Reference Budd2011: 143–145), though conversely job loss may be especially hard to recover from where social-democratic varieties of capitalism generate occupation-specific capital (Thelen Reference Thelen2012).

Both unemployment and partisanship, then, may play out differently in different countries, so studying their interrelationship cross-nationally may be useful (Anderson Reference Anderson2020). This study accordingly looks at both the United States and Great Britain, using responses to the American National Election Studies and British Election Study. Both countries have majoritarian electoral systems that create clearly identifiable in-government and opposition parties with which survey respondents could identify.

The hypothesis here focuses on reactions to being unemployed, not including those out of the labour force because of disability, or as homemakers, students or retirees. Measuring self-reported unemployment status is typically straightforward, though the British Election Study sometimes includes a category comprising those not currently working but already hired for a future position. For consistency, the few respondents selecting this option are counted in the reported results as unemployed.

The dependent variable, measuring perceived financial situation, derives in the United States surveys from the question ‘Would you say that you and your family are better off, worse off, or just about the same financially than you were a year ago?’ In some years ‘living here’ was included after ‘family’, in some years ‘just about the same’ was not stated in the question, and in some years rather than comparing to ‘a year ago’ the question concerned ‘the last few years’. In Britain, the primary question is ‘how does the financial situation of your household now compare with what it was 12 months ago? Has it got a lot better, got a little better, stayed the same, got a little worse, or got a lot worse?’ The wording again varied. In 1974, the relevant question asked ‘compared with a year or two ago, are you or your family much better off now, a little better off now, about the same, a little worse off or much worse off now?’ In 1992, the question was ‘looking back over the last year or so, would you say your household's income has fallen behind prices, kept up with prices, or gone up by more than prices?’ with, for anyone responding that their income had fallen behind or gone up relative to prices, the follow-up question of ‘by a lot or a little?’ In both countries, however, the focus is on comparing specifically household-level economic conditions with the recent past; separate questions explicitly inquire about broader, national conditions.

The key independent variable of interest is whether the respondent identifies with a political party represented in the currently incumbent government, defined as the president's party in the United States and as a party in government in Great Britain: typically just the prime minister's party, but including either member of the 2010–2015 coalition government. The focus on the presidency specifically in the United States follows previous research showing that even when different branches of government are controlled by different parties, voters tend to focus on the president's party (Norpoth Reference Norpoth2001). Party identification here includes independents who lean towards, or in some question wordings ‘are closer to’, the relevant parties, since leaners typically behave more like partisans than like true independents even in identity-related matters (Keith et al. Reference Keith1986; Theodoridis Reference Theodoridis2017). While affinities with local legislators or subnational leaders like the executives of regional governments may also matter (Wolak Reference Wolak2020), countrywide offices' greater visibility tends to make them more relevant for partisan identity. In the reported results, identity is coded trichotomously: identifying with a party in government is coded as +1, identifying with a party not in government as −1, and identifying with no party or responding ‘don't know’ to identification questions as 0. These codes (+1 for co-partisanship with the incumbent, −1 for co-partisanship with the opposition, 0 for non-partisanship) will also appear as category labels below.

Bivariate relationships reveal that, among the unemployed, alignment with incumbent executives does relate to stated economic circumstances. Among unemployed American respondents of the president's party, 31% say household finances have improved while 44% say they have deteriorated; among those of the other major party, the respective figures are 17% and 58%. In Britain, 30% of unemployed partisans aligned with the government report better financial conditions and 23% report worse; the respective figures for partisans of nongovernmental parties are 23% and 32%.

However, several other factors could exert influence on both partisanship and economic prospects. Besides election fixed effects to account for differences in question wording and background features such as the state of the national economy, many likely causal factors are demographic. Age, for example, associates with intensifying attachments to parties (Jennings and Markus Reference Jennings and Markus1984) and with identification with different parties among those who do feel partisan attachments (Gonyea and Hudson Reference Gonyea and Hudson2020). The older unemployed who do not retire or claim permanent disability (Börsch-Supan et al. Reference Börsch-Supan, Bucher-Koenen and Hanemann2020) often see particular economic diminution, having lost a greater accumulation of job-specific assets (Klehe et al. Reference Klehe, Klehe and van Hooft2018), though conversely the younger unemployed have had less time to accrue savings and may fear longer-term scarring of their employment prospects. Self-reported age is measured in years.

Discrimination and policy preferences also shape the economic outlooks and partisan preferences by sex and ethnicity (Harris-Lacewell and Albertson Reference Harris-Lacewell and Albertson2005; Harsgor Reference Harsgor2018; Welch and Hibbing Reference Welch and Hibbing1992). Sex is measured via an indicator variable of femaleness, through either self-report or, in some earlier years of the surveys, interviewer observation. Definitions of ethnic groups differ across time and countries, so relevant measures diverge somewhat. In the United States, ethnic group is coded with several indicator variables, one indicating respondents who identify as Black, another indicating identification as Hispanic (exclusive of other categories here, following the information available in the survey's early years), and a third indicating identification with other non-White ethnicities. In Britain, ethnicity is coded with a single indicator of identification with any non-White group.

Education can shape economic perceptions both by providing more opportunities and associating with distinct ways of assessing similar financial landscapes (Williams et al. Reference Williams2017); it also shapes the political information environment (Delli Carpini and Keeter Reference Delli Carpini and Keeter1996) and partisanship (Busemeyer Reference Busemeyer2009). Educational attainment is measured in categories in both countries, with seven categories (ranging from ‘grade school’ to ‘advanced degrees’) in the United States, and six (ranging from ‘no qualifications’ to ‘postgraduate’) in Britain. In both countries, the uppermost two categories were combined in earlier years of the survey, so that those with postgraduate education are coded only as having undergraduate university degrees.

Specific ideologies and partisan orientations may also affect reactions to unemployment. Expectations of individualistic self-reliance on the political right (Fine Reference Fine1992) or the left's issue ownership of employment-related politics (Kwon Reference Kwon2019) may mean that partisans contrast in their response to unemployment. To account for this, models include fixed effects for party of identification (treating minor-party identifiers as non-party identifiers in the United States).

Having resources that can soften the blow of an economic shock might also affect both partisan identity and the (perceived) severity of unemployment. Being married or partnered increases the likelihood that there is another adult income stream in the household or potential workforce entrant if need be, while members of a labour union (including, in Great Britain, in a staff association) may receive services and support from their union and possibly better severance upon losing their jobs. An owned rather than rented home can be borrowed against or sold to cover temporary financial exigencies. Marriage, union membership and homeownership all also tend to be associated with membership of particular political parties; they are accounted for by three dummy variables respectively indicating whether the respondent is married or partnered (some surveys conflate the two statuses), a current trade-union member, and/or a renter.

All three of these forms of insurance, however, can be an indirect consequence of unemployment rather than their cause. The stress and financial difficulty attendant upon job loss can strain marriages or other partnerships, provoking divorce (Eliason Reference Eliason2012; Jensen and Smith Reference Jensen and Smith1990), or workers who feel poorly served may resign from trade unions (Sverke and Goslinga Reference Sverke and Goslinga2003). Similarly, unemployment is a frequent cause of inability to pay mortgage debts thereby leading to foreclosure or other housing displacement (Desmond and Gershenson Reference Desmond and Gershenson2017; Hsu et al. Reference Hsu, Matsa and Melzer2018; Niu and Ding Reference Niu and Ding2015). Perception of being in a poor economic situation, moreover, may affect these variables: people who feel their finances are so poor they can no longer afford their house and must sell it for rented accommodations are likelier to end up as renters than are those with a more positive view of their finances, even if those finances are objectively identical. This potential for endogeneity bias means the relevant variables are only included in some of the reported models, as a robustness test.

Results

The analysis proceeds using ordered-logistic regressions to allow for the dependent variables' ordered categorical structure. Table 1's leftmost column shows the baseline results for the United States, involving the full sample of both unemployed and employed respondents; Table 2's, those for Great Britain. The second column of each table adds the additional control variables. In these models, the key consideration is the coefficient on the interaction term, showing whether greater alignment with the party in power correlates with less negative views of household finances during spells of unemployment (while accounting for general differences in financial optimism across members of different parties).

Table 1. Rating of Recent Change in Household Economic Situation among American National Election Studies Respondents, 1956–2020

Notes: * indicates (two-tailed) p < 0.05.

Table 2. Rating of Recent Change in Household Economic Situation among British Election Study Respondents, 1974–2019

Notes: * indicates (two-tailed) p < 0.05.

In both countries, closer identification with the government is associated with a negative coefficient, indicating a more positive assessment of one's personal economic situation. More importantly for present purposes, the interaction term's coefficient is also negative: unemployed in-partisans of the executive are more positive than are unemployed out- or non-partisans, even compared to the already more positive baseline of other in-partisans. The effects of being closer to the government are appreciable in magnitude for unemployed people's reported financial condition, with a difference between in-partisan unemployed and out-partisan unemployed comparable in size to the gender gap in self-reported financial situation. The effects are also statistically significant at standard levels. An alternative way of thinking about the size of these effects might see how much being an in-partisan takes the edge off unemployment. In these terms, those sharing the president's partisanship in the United States see an estimated effect of employment on perceived economic evaluation slightly under 10% smaller than the main effect of unemployment, while those of the opposite party of the president see an effect slightly under 10% larger. Partisanship's relative influence is even larger in Britain, with the interaction just short of 20%, rather than 10%, of unemployment's main effect.

These models incorporating the whole sample of respondents are dominated by respondents who are not unemployed, which means the effects of the control variables are similarly largely determined by respondents who are employed or out of the labour force. As such, they may be less reflective of effects among the unemployed, and so perhaps less likely to capture any lurking-variable effects that characterize attitudes to economic conditions specifically among the unemployed. To check against this possibility, the third and fourth columns of Tables 1 and 2 repeat the first two columns' analysis while restricting the sample to the unemployed population alone. In these alternative specifications, the key coefficient is that on in-partisanship. These coefficients are negative in both tables: unemployment co-partisans of the executive continue to report markedly better economic positions than the unemployed who do not align with the executive.

Interest in politics

These average effects of partisanship gloss over theoretical differences among respondents: the arguments motivating the hypothesis imply that some people may exhibit more partisan bias than others. For those uninterested in politics, for example, partisanship's salience as an identity is weak. This weaker identity reduces the motivation for partisan screening and partisan cheerleading; indeed, politically disengaged respondents may not even connect their personal state to political goings-on (Banda and Cluverius Reference Banda and Cluverius2018; Bolsen and Thornton Reference Bolsen and Thornton2021). By contrast, those intensely absorbed by politics have additional reasons, conscious and unconscious, to feel better about things when their preferred party is in power, and worse when the opposition is.

This suggests that, if the results here reflect partisan bias, degree of political interest should moderate partisan biases in how much unemployment hurts reported finances. To verify that this occurs, consider the predictions of a model adding a measure of political interest, and the interaction of that interest measure with in-partisanship, to the third column of Tables 1 and 2. Figures 1 and 2 present the predictions of such interaction models, with the full model tables in the Supplementary Material. (Similar results arise in the full sample, as the Supplementary Material also reports, but the unemployment-only models avoid the expositional complication of a three-way interaction among unemployment, political interest and in-partisanship.) In the United States, political interest is in the year's elections and campaigns on a three-point scale (‘not much interested’, ‘somewhat interested’ or ‘very much interested’). In Britain, the interest-in-politics question varies more across survey years. In a plurality of years, the question offers five potential options for the level of interest (‘none’, ‘not much’, ‘some’, ‘quite a lot’ and ‘a great deal’) but some years leave off one of the high-interest categories, and in 1992 the only options are ‘a good deal’ and ‘not very much’, respectively recoded to ‘quite a lot’ and ‘not much’. In the figures' estimates, control variables are left as is.

Figure 1. Estimated Evaluations of Household Economic Situations among the Unemployed in the United States, interacting partisanship with level of political interest; control variables left as is

Figure 2. Estimated Evaluations of Household Economic Situation among the Unemployed in Great Britain, interacting partisanship with level of political interest; control variables left as is

In both countries, the general tenor of the result is that keener interest in politics associates as expected with in-partisanship, especially improving unemployed respondents' reports of their household finances, while highly engaged out-partisanship produces particularly dire household-finance assessments. This result reassuringly follows the theorized logic of partisan identity. In the British case, however, the relationship falls short of standard benchmarks for statistical significance, perhaps because of noise injected by the inconsistent question-and-answer wordings.

National outcomes

Partisanship's ability to assuage the reported personal costs of unemployment is striking, precisely because an inability to find a job has such clear consequences for household finances. Beliefs about national-level economic outcomes are, however, also often of interest for political behaviour (Bailey Reference Bailey2019; Robison Reference Robison2020). Since these sociotropic perceptions do not always have the same sources as do preferences at the personal level (Baird and Wolak Reference Baird and Wolak2021; Yağcı and Oyvat Reference Yağcı and Oyvat2020), it is worth examining whether the tendency for partisanship to mediate unemployment's effects extends to beliefs about aggregate economic outcomes.

Tables 3 and 4 repeat the analysis of Tables 1 and 2, using questions about perceived national rather than personal economic conditions. The questions parallel the personal-level questions, with the same answer options as for the household-level case: three possible responses in the United States, ranging from ‘better’ to ‘worse’, and in Great Britain five possible responses, ‘much better’ through ‘much worse’. In the American National Election Study, the core question was ‘would you say that over the past year the nation's economy has gotten better, stayed about the same, or gotten worse?’ In the British Election Study, the wording has, like that of the household-level question, varied more over the decades, though it generally resembles that used in the most recent surveys: ‘how do you think the general economic situation in this country has changed over the last 12 months?’ These evaluations of the national economy were only added to their respective surveys decades after questions about personal financial situation were, so Tables 3 and 4 have somewhat smaller samples than did Tables 1 and 2.

Table 3. Rating of Recent Change in National Economic Situation among American National Election Studies Respondents, 1982–2020

Notes: * indicates (two-tailed) p < 0.05.

Table 4. Rating of Recent Change in National Economic Situation among British Election Study Respondents, 1997–2019

Notes: * indicates (two-tailed) p < 0.05.

The effects seen in evaluating personal economic conditions mostly carry over to national economic conditions. Unemployed people in both countries report perceiving a more positive national economic situation when their preferred party is in power. However, this difference among the unemployed is, in the United States, not distinguishable from the partisan gap among respondents who are not unemployed.

Reverse causation?

That unemployed people are less likely to report that their economic lives have worsened if they support the incumbent executive may not mean that partisanship caused their (claimed) perception. The pattern of facts is entirely consistent with the subjective financial situation leading to partisan attitudes rather than the other way around (Wlezien et al. Reference Wlezien, Franklin and Twiggs1997). Indeed, feeling that one's own economic foundation has crumbled under the current government could plausibly spur antipathy to that government and its member parties (although job loss only occasionally spurs party-switching: Hobbs Reference Hobbs2019).

To get clearer traction on cause and effect, consider longitudinal evidence. Someone who identified with the same party both before and after becoming unemployed presumably did not change their partisan alignment in response to unemployment. Such respondents are consequently less susceptible to the possibility of having their stated partisan position determined by the feeling that their job losses were especially crushing in economic terms.

Both the American National Election Studies and the British Election Study have occasionally released panel surveys that can identify people who maintained a consistent partisan identity even while transitioning into unemployment. Focusing on the perceived economic trajectory among those who identified with the same party for two consecutive waves of the survey while being unemployed only in the later of those waves tests whether becoming unemployed leads to different responses depending on whether one aligns with the incumbent government. While samples for whom over-time information is available are smaller than in general, cross-sectional surveys, their ability to rule out the possible reverse causation makes them a useful complement to the larger analysis. For consistency, the results only include respondents for whom information is available regarding consecutive survey waves: respondents who did not participate in one or more survey waves between their initial employment and their subsequent unemployment are excluded from the analysis.

Figure 3 presents the key result of this analysis for the United States. Even among those with a consistent partisan identification, in-partisanship with the president has a large effect on reported economic situation among those who have transitioned into unemployment. Those identifying with the party opposing the president are roughly four times as likely to say their economic situations have become worse as to say they have become better, but those who identify with the president's own party are almost as likely to say their household finances have become better as to report that they have become worse.

Figure 3. Assessment of Household Economic Change over the Past Year Following Transition into Unemployment, among American National Election Studies respondents who did not change parties amidst unemployment transition, 1958–2004, as predicted by ordered-logistic models

Notes: N = 238; coefficient on sharing partisanship with president = −0.55, standard error = 0.23, two-tailed p = 0.017.

Figure 4 presents analogous results from Britain. The effects are somewhat less substantively sizeable than in the United States, though the larger sample size means they are more precisely estimated. In the British context, supporters of parties not in government are again about four times as likely to say their household finances have worsened as improved, but the co-partisans of the government are only slightly over twice as likely to say the same. Still, considering the scope of the economic shock typically associated with unemployment, the mediating effect of partisanship in reported economic perceptions is notable.

Figure 4. Assessment of Household Economic Change over the Past Year Following Transition into Unemployment, among British Election Study respondents who did not change parties amidst unemployment transition, 1997–2019

Notes: N = 1,242; coefficient on sharing partisanship with government = −0.31, standard error = 0.11, one-tailed p = 0.002.

Conclusion

Partisan biases do not just shape reported economic perceptions of sociotropic outcomes, or when joblessness is an unsettling but unrealized threat. Even the unemployed themselves seem to modulate their stated economic perceptions in response to partisan alignment. Those sharing the incumbent government's party report their household economic straits as less severe than do non-partisans, and non-partisans in turn report better standing than do partisans opposed to the government. The relationship between partisanship and economic perceptions can break through even amidst this bluntest and most personal of economic stringencies, although of course even co-partisans of the government often do report being worse off when unemployed.

This discussion opens up many questions for future research. Partisan identities may contribute to other disparities in how unemployment affects subjective welfare (e.g. van der Meer Reference van der Meer2014). In turn, insofar as partisan biases mediate the subjective pain of unemployment, they may also affect the real-world mental and physical health costs, or the longer-term labour-market underperformance, suffered by the unemployed. Observing such consequences having a partisan cast might additionally shed light on how much the variation in reported finances reflects actual perception rather than misleading reports based on partisan cheerleading. (Or the results may suggest that in hard times like unemployment, respondents are especially tempted to console themselves with partisan cheerleading.) The subjective experience of unemployment being less severe among in-partisans may also shape the electoral cost of layoffs or economic mismanagement, to the extent that the party's base declines to hold their co-partisans responsible.

Future research might further explore the mechanisms determining unemployed partisans' survey responses. The results hint that unemployment is seemingly sometimes experienced as less economically dire than the policy focus on job preservation suggests; would employed in-partisans anticipate feeling this positive if asked how financially costly it would be to lose their job? The fact that mere fear of unemployment can impose costs on well-being and mental health (Domenighetti et al. Reference Domenighetti, d'Avanzo and Bisig2000) suggests not. But those identifying with the government and so more optimistic about economic conditions may simply expect their prospects for getting new jobs to be relatively bright, ameliorating the perceived costliness of unemployment. The anticipation of unemployment's subjective costs, moreover, presumably shapes demand for policies to prevent job losses. Or, perhaps, the results here primarily reflect partisan cheerleading rather than sincere feelings, which would call for a different policy response. Further research should attend to factors influencing cheerleading in evaluations of personal rather than national economic outcomes.

More broadly, unemployed people are a population both vulnerable and important to political debates. The jobless matter in their own right, even as they can shed unique lights on several questions. Although unemployment's sometimes transitory nature can make them a difficult group to study, they may deserve more of political scientists' attention.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/gov.2023.30.

Acknowledgements

Comments from Sonal Pandya, Jeffry Frieden, Nell Gabiam, Jonathan Hassid and the editorial staff and anonymous reviewers of Government and Opposition greatly improved earlier drafts of this project.

References

Achen, CH and Bartels, LM (2016) Democracy for Realists. Princeton: Princeton University Press.CrossRefGoogle Scholar
Andersen, SH (2009) Unemployment and Subjective Well-Being: A Question of Class? Work and Occupations 36(1), 325. https://doi.org/10.1177/0730888408327131.CrossRefGoogle Scholar
Anderson, C (2020) (Re)Considering the Sources of Economic Perceptions. Social Science Quarterly 101(4), 13141325. https://doi.org/10.1111/ssqu.12825.CrossRefGoogle Scholar
Anson, IG (2016) Just the Facts? Partisan Media and the Political Conditioning of Economic Perceptions. Political Research Quarterly 69(3), 444456. https://doi.org/10.1177/1065912916648016.CrossRefGoogle Scholar
Aytaç, SE, Rau, EG and Stokes, S (2020) Beyond Opportunity Costs: Campaign Messages, Anger and Turnout among the Unemployed. British Journal of Political Science 50(4), 13251339. https://doi.org/10.1017/S0007123418000248.CrossRefGoogle Scholar
Bailey, J (2019) The Fact Remains: Party ID Moderates How Voters Respond to Economic Change. Electoral Studies 61, 102071. https://doi.org/10.1016/j.electstud.2019.102071.CrossRefGoogle Scholar
Bailey, J (2021) Political Surveys Bias Self-Reported Economic Perceptions. Public Opinion Quarterly 85(4), 9871008. https://doi.org/10.1093/poq/nfab054.CrossRefGoogle Scholar
Baird, V and Wolak, J (2021) Why Some Blame Politics for Their Personal Problems. American Politics Research 49(5), 478489. https://doi.org/10.1177/1532673X211013463.CrossRefGoogle Scholar
Banda, KK and Cluverius, J (2018) Elite Polarization, Party Extremity, and Affective Polarization. Electoral Studies 56, 90101. https://doi.org/10.1016/j.electstud.2018.09.009.CrossRefGoogle Scholar
Bankert, A (2021) Negative and Positive Partisanship in the 2016 US Presidential Elections. Political Behavior 43(4), 14671485. https://doi.org/10.1348/014466607X231091.CrossRefGoogle Scholar
Bartels, LM (2002) Beyond the Running Tally: Partisan Bias in Political Perceptions. Political Behavior 24(2), 117150. https://doi.org/10.1023/A:1021226224601.CrossRefGoogle Scholar
Bennett, J (2016) Skill-Specific Unemployment Risks: Employment Protection and Technological Progress – A Cross-National Comparison. Journal of European Social Policy 26(5), 402416. https://doi.org/10.1177/0958928716664294.CrossRefGoogle Scholar
Bisgaard, M (2015) Bias Will Find a Way: Economic Perceptions, Attributions of Blame, and Partisan-Motivated Reasoning during Crisis. Journal of Politics 77(3), 849860. https://doi.org/10.1086/681591.CrossRefGoogle Scholar
Bisgaard, M (2019) How Getting the Facts Right Can Fuel Partisan-Motivated Reasoning. American Journal of Political Science 63(4), 824839. https://doi.org/10.1111/ajps.12432.CrossRefGoogle Scholar
Bolsen, T and Thornton, JR (2021) Candidate and Party Affective Polarization in US Presidential Elections: The Person-Negativity Bias? Electoral Studies 71, 102293. https://doi.org/10.1016/j.electstud.2021.102293.CrossRefGoogle Scholar
Börsch-Supan, A, Bucher-Koenen, T and Hanemann, F (2020) Early Determinants of Work Disability in an International Perspective. Demography 57(5), 18531879. https://doi.org/10.1007/s13524-020-00902-7.CrossRefGoogle Scholar
Branham, JA (2018) Partisan Feedback: Heterogeneity in Opinion Responsiveness. Public Opinion Quarterly 82(4), 625640. https://doi.org/10.1093/poq/nfy040.CrossRefGoogle Scholar
Breakwell, GM (1986) Political and Attributional Responses of the Young Short-Term Unemployed. Political Psychology 7(3), 575586. https://doi.org/10.2307/3791257.CrossRefGoogle Scholar
Brief, AP et al. (1995) Inferring the Meaning of Work from the Effects of Unemployment. Journal of Applied Social Psychology 25(8), 693711. https://doi.org/10.1111/j.1559-1816.1995.tb01769.x.CrossRefGoogle Scholar
Budd, JW (2011) The Thought of Work. Ithaca, NY: Cornell University Press.CrossRefGoogle Scholar
Bullock, JG et al. (2015) Partisan Bias in Factual Beliefs about Politics. Quarterly Journal of Political Science 10(4), 519578. http://doi.org/10.1561/100.00014074.CrossRefGoogle Scholar
Busemeyer, MR (2009) Social Democrats and the New Partisan Politics of Public Investment in Education. Journal of European Public Policy 16(1), 107126. https://doi.org/10.1080/13501760802453171.CrossRefGoogle Scholar
Campbell, A et al. (1960) The American Voter. New York: Wiley.Google Scholar
Chang, Y-L (2020) Unequal Social Protection under the Federalist System: Three Unemployment Insurance Approaches in the United States, 2007–2015. Journal of Social Policy 49(1), 189211. https://doi.org/10.1017/S0047279419000217.CrossRefGoogle Scholar
Chen, W-H and Hou, F (2019) The Effect of Unemployment on Life Satisfaction: A Cross-National Comparison between Canada, Germany, the United Kingdom and the United States. Applied Research in Quality of Life 14(4), 10351058. https://doi.org/10.1007/s11482-018-9638-8.CrossRefGoogle Scholar
Clark, AE and Oswald, AJ (1994) Unhappiness and Unemployment. Economic Journal 104(424), 648659. https://doi.org/10.2307/2234639.CrossRefGoogle Scholar
Criscuolo, C et al. (2019) Some Causal Effects of an Industrial Policy. American Economic Review 109(1), 4885. https://doi.org/10.1257/aer.20160034.CrossRefGoogle Scholar
Delli Carpini, MX and Keeter, S (1996) What Americans Know about Politics and Why It Matters. New Haven: Yale University Press.Google Scholar
Desmond, M and Gershenson, C (2017) Who Gets Evicted? Assessing Individual, Neighborhood, and Network Factors. Social Science Research 62, 362377. https://doi.org/10.1016/j.ssresearch.2016.08.017.CrossRefGoogle ScholarPubMed
de Vries, CE, Hobolt, SB and Tilley, J (2018) Facing up to the Facts: What Causes Economic Perceptions? Electoral Studies 51, 115122. https://doi.org/10.1016/j.electstud.2017.09.006.CrossRefGoogle Scholar
Dickerson, BT and Ondercin, HL (2017) Conditional Motivated Reasoning: How the Local Economy Moderates Partisan Motivations in Economic Perceptions. Political Research Quarterly 70(1), 194208. https://doi.org/10.1177/1065912916684031.CrossRefGoogle Scholar
Domenighetti, G, d'Avanzo, B and Bisig, B (2000) Health Effects of Job Insecurity among Employees in the Swiss General Population. International Journal of Health Services 30(3), 477490. https://doi.org/10.2190/B1KM-VGN7-50GF-8XJ4.CrossRefGoogle ScholarPubMed
Eliason, M (2012) Lost Jobs, Broken Marriages. Journal of Population Economics 25(4), 13651397. https://doi.org/10.1007/s00148-011-0394-4.CrossRefGoogle Scholar
Evans, G and Andersen, R (2006) The Political Conditioning of Economic Perceptions. Journal of Politics 68(1), 194207. https://doi.org/10.1111/j.1468-2508.2006.00380.x.CrossRefGoogle Scholar
Feldman, L (2011) Partisan Differences in Opinionated News Perceptions: A Test of the Hostile Media Effect. Political Behavior 33(3), 407432. https://doi.org/10.1007/s11109-010-9139-4.CrossRefGoogle Scholar
Fernández-Albertos, J, Kuo, A and Balcells, L (2013) Economic Crisis, Globalization, and Partisan Bias: Evidence from Spain. International Studies Quarterly 57(4), 804816. https://doi.org/10.1111/isqu.12081.CrossRefGoogle Scholar
Fine, TS (1992) Individualism & Liberalism/Conservatism: Broadening Dimensions of Policy Support. Polity 25(2), 315327. https://doi.org/10.2307/3235115.CrossRefGoogle Scholar
Franko, WW (2017) Understanding Public Perceptions of Growing Economic Inequality. State Politics & Policy Quarterly 17(3), 319348. https://doi.org/10.1177/1532440017707799.CrossRefGoogle Scholar
Gerber, AS and Huber, GA (2009) Partisanship and Economic Behavior: Do Partisan Differences in Economic Forecasts Predict Real Economic Behavior? American Political Science Review 103(3), 407426. https://doi.org/10.1017/S0003055409990098.CrossRefGoogle Scholar
Gerber, AS and Huber, GA (2010) Partisanship, Political Control, and Economic Assessments. American Journal of Political Science 54(1), 153173. https://doi.org/10.1111/j.1540-5907.2009.00424.x.CrossRefGoogle Scholar
Gonyea, JG and Hudson, RB (2020) In an Era of Deepening Partisan Divide, What is the Meaning of Age or Generational Differences in Political Values? Public Policy & Aging Report 30(2), 5255. https://doi.org/10.1093/ppar/praa003.CrossRefGoogle Scholar
Harris-Lacewell, M and Albertson, B (2005) Good Times? Understanding African American Misperceptions of Racial Economic Fortunes. Journal of Black Studies 35(5), 650683. https://doi.org/10.1177/0021934704266084.CrossRefGoogle Scholar
Harsgor, L (2018) The Partisan Gender Gap in the United States: A Generational Replacement? Public Opinion Quarterly 82(2), 231251. https://doi.org/10.1093/poq/nfy013.CrossRefGoogle Scholar
Helliwell, JF and Huang, H (2014) New Measures of the Costs of Unemployment: Evidence from the Subjective Well-Being of 3.3 Million Americans. Economic Inquiry 52(4), 14851502. https://doi.org/10.1111/ecin.12093.CrossRefGoogle Scholar
Hobbs, WR (2019) Major Life Events and the Age-Partisan Stability Association. Political Behavior 41(3), 791814. https://doi.org/10.1007/s11109-018-9472-6.CrossRefGoogle Scholar
Hobolt, S, Tilley, J and Banducci, S (2013) Clarity of Responsibility: How Government Cohesion Conditions Performance Voting. European Journal of Political Research 52(2), 164187. https://doi.org/10.1111/j.1475-6765.2012.02072.x.CrossRefGoogle Scholar
Hopkins, DJ, Kim, E and Kim, S (2017) Does Newspaper Coverage Influence or Reflect Public Perceptions of the Economy? Research & Politics 4(4), 2053168017737900. https://doi.org/10.1177/2053168017737900.CrossRefGoogle Scholar
Hsu, JW, Matsa, DA and Melzer, BT (2018) Unemployment Insurance as a Housing Market Stabilizer. American Economic Review 108(1), 4981. https://doi.org/10.1257/aer.20140989.CrossRefGoogle Scholar
Iredale, R (1999) The Need to Import Skilled Personnel: Factors Favouring and Hindering Its International Mobility. International Migration 37(1), 89123. https://doi.org/10.1111/1468-2435.00067.CrossRefGoogle ScholarPubMed
Jahoda, M (1982) Employment and Unemployment: A Social-Psychological Analysis. New York: Cambridge University Press.Google Scholar
Jennings, MK and Markus, GB (1984) Partisan Orientations over the Long Haul: Results from the Three-Wave Political Socialization Panel Study. American Political Science Review 78(4), 10001018. https://doi.org/10.2307/1955804.CrossRefGoogle Scholar
Jensen, P and Smith, N (1990) Unemployment and Marital Dissolution. Journal of Population Economics 3(3), 215229. https://doi.org/10.1007/BF00163076.CrossRefGoogle ScholarPubMed
Keele, L (2005) The Authorities Really Do Matter: Party Control and Trust in Government. Journal of Politics 67(3), 873886. https://doi.org/10.1111/j.1468-2508.2005.00343.x.CrossRefGoogle Scholar
Keith, BE et al. (1986) The Partisan Affinities of Independent ‘Leaners’. British Journal of Political Science 16(2), 155185. https://doi.org/10.1017/S0007123400003872.CrossRefGoogle Scholar
Kertzer, JD (2013) Making Sense of Isolationism: Foreign Policy Mood as a Multilevel Phenomenon. Journal of Politics 75(1), 225240. https://doi.org/10.1017/S0022381612000989.CrossRefGoogle Scholar
Klehe, U-C et al. (2018) Too Old to Tango? Job Loss and Job Search among Older Workers. In Klehe, U-C and van Hooft, EAJ (eds), The Oxford Handbook of Job Loss and Job Search. New York: Oxford University Press, pp. 433464.Google Scholar
Koivu, KL and Hinze, AM (2017) Cases of Convenience? The Divergence of Theory from Practice in Case Selection in Qualitative and Mixed-Methods Research. PS: Political Science & Politics 50(4), 10231027. https://doi.org/10.1017/S1049096517001214.Google Scholar
Krupenkin, M (2021) Does Partisanship Affect Compliance with Government Recommendations? Political Behavior 43(1), 451472. https://doi.org/10.1007/s11109-020-09613-6.CrossRefGoogle ScholarPubMed
Kwon, HY (2019) Government Partisanship and Electoral Accountability: The Effect of Perceived Employment Situation on Partisan Vote Switching. Political Research Quarterly 72(3), 727743. https://doi.org/10.1177/1065912918804897.CrossRefGoogle Scholar
Lau, RR and Sears, DO (1981) Cognitive Links between Economic Grievances and Political Responses. Political Behavior 3(4), 279302. https://doi.org/10.1007/BF00989811.CrossRefGoogle Scholar
Lench, HC et al. (2019) Changes in Subjective Well-Being Following the US Presidential Election of 2016. Emotion (Washington, D.C.) 19(1), 19. https://psycnet.apa.org/doi/10.1037/emo0000411.CrossRefGoogle ScholarPubMed
Liberini, F, Redoano, M and Proto, E (2017) Happy Voters. Journal of Public Economics 146, 4157. https://doi.org/10.1016/j.jpubeco.2016.11.013.CrossRefGoogle Scholar
Linn, MW, Sandifer, R and Stein, S (1985) Effects of Unemployment on Mental and Physical Health. American Journal of Public Health 75(5), 502506. https://doi.org/10.2105/AJPH.75.5.502.CrossRefGoogle ScholarPubMed
Macdonald, D (2021) Political Trust and Support for Immigration in the American Mass Public. British Journal of Political Science 51(4), 14021420. https://doi.org/10.1017/S0007123419000668.CrossRefGoogle Scholar
McCarthy, J and Jones, JM (2016) U.S. Economic Confidence Surges after Election. Gallup News, 15 November, https://news.gallup.com/poll/197474/economic-confidence-surges-election.aspx.Google Scholar
McGrath, MC (2017) Economic Behavior and the Partisan Perceptual Screen. Quarterly Journal of Political Science 11(4), 363383. https://doi.org/10.1561/100.00015100.CrossRefGoogle Scholar
Moore, T and Morton, J (2017) The Myth of Job Readiness? Written Communication, Employability, and the ‘Skills Gap’ in Higher Education. Studies in Higher Education 42(3), 591609. https://doi.org/10.1080/03075079.2015.1067602.CrossRefGoogle Scholar
Mousteri, V, Daly, M and Delaney, L (2018) The Scarring Effect of Unemployment on Psychological Well-Being across Europe. Social Science Research 72, 146169. https://doi.org/10.1016/j.ssresearch.2018.01.007.CrossRefGoogle ScholarPubMed
Niu, Y and Ding, C (2015) Unemployment Matters: Improved Measures of Labor Market Distress in Mortgage Default Analysis. Regional Science and Urban Economics 52, 2738. https://doi.org/10.1016/j.regsciurbeco.2015.02.004.CrossRefGoogle Scholar
Norpoth, H (2001) Divided Government and Economic Voting. Journal of Politics 63(2), 414435. https://doi.org/10.1111/0022-3816.00073.CrossRefGoogle Scholar
Norris, DR (2016) Job Loss, Identity, and Mental Health. New Brunswick: Rutgers University Press.Google Scholar
Orland, A (2017) Personality Traits and the Perception of Macroeconomic Indicators: Survey Evidence. Bulletin of Economic Research 69(4), E150E172. https://doi.org/10.1111/boer.12110.CrossRefGoogle Scholar
Park, T and Reeves, A (2020) Local Unemployment and Voting for President: Uncovering Causal Mechanisms. Political Behavior 42(2), 443463. https://doi.org/10.1007/s11109-018-9502-4.CrossRefGoogle Scholar
Prior, M, Sood, G and Khanna, K (2015) You Cannot Be Serious: The Impact of Accuracy Incentives on Partisan Bias in Reports of Economic Perceptions. Quarterly Journal of Political Science 10(4), 489518. https://doi.org/10.1561/100.00014127.CrossRefGoogle Scholar
Pultz, S, Teasdale, TW and Christensen, KB (2020) Contextualized Attribution: How Young Unemployed People Blame Themselves and the System and the Relationship between Blame and Subjective Well-Being. Nordic Psychology 72(2), 146167. https://doi.org/10.1080/19012276.2019.1667857.CrossRefGoogle Scholar
Robison, J (2020) Does Social Disagreement Attenuate Partisan Motivated Reasoning? A Test Case Concerning Economic Evaluations. British Journal of Political Science 50(4), 12451261. https://doi.org/10.1017/S0007123418000315.CrossRefGoogle Scholar
Santoso, LP (2020) Partisan Bias in Economic Perceptions. In Oscarsson, H and Holmberg, S (eds), Research Handbook on Political Partisanship. Northampton: Edward Elgar, pp. 294307.Google Scholar
Schlozman, KK and Verba, S (1979) Injury to Insult: Unemployment, Class, and Political Response. Cambridge, MA: Harvard University Press.Google Scholar
Sotirovic, M (2001) Media Use and Perceptions of Welfare. Journal of Communication 51(4), 750774. https://doi.org/10.1111/j.1460-2466.2001.tb02905.x.CrossRefGoogle Scholar
Spoon, J-J and Kanthak, K (2019) ‘He's Not My Prime Minister!’ Negative Party Identification and Satisfaction with Democracy. Journal of Elections, Public Opinion and Parties 29(4), 511532. https://doi.org/10.1080/17457289.2019.1666271.CrossRefGoogle Scholar
Stroud, NJ, Muddiman, A and Lee, JK (2014) Seeing Media as Group Members: An Evaluation of Partisan Bias Perceptions. Journal of Communication 64(5), 874894. https://doi.org/10.1111/jcom.12110.CrossRefGoogle Scholar
Stutzer, A and Frey, BS (2004) ‘Reported Subjective Well-Being: A Challenge for Economic Theory and Economic Policy. Schmollers Jahrbuch 124(2), 191231. https://doi.org/10.3790/schm.124.2.191.CrossRefGoogle Scholar
Sverke, M and Goslinga, S (2003) The Consequences of Job Insecurity for Employers and Unions: Exit, Voice and Loyalty. Economic and Industrial Democracy 24(2), 241270. https://doi.org/10.1177/0143831X03024002005.CrossRefGoogle Scholar
Thelen, K (2012) Trajectories of Liberalization and the New Politics of Social Solidarity. Annual Review of Political Science 15, 137159. https://doi.org/10.1146/annurev-polisci-070110-122959.CrossRefGoogle Scholar
Theodoridis, AG (2017) Me, Myself, and (I), (D), or (R)? Partisanship and Political Cognition through the Lens of Implicit Identity. Journal of Politics 79(4), 12531267. https://doi.org/10.1086/692738.CrossRefGoogle Scholar
van der Meer, PH (2014) Gender, Unemployment and Subjective Well-Being: Why Being Unemployed Is Worse for Men than for Women. Social Indicators Research 115(1), 2344. https://doi.org/10.1007/s11205-012-0207-5.CrossRefGoogle Scholar
Wanberg, CR et al. (2020) How Strong Is My Safety Net? Perceived Unemployment Insurance Generosity and Implications for Job Search, Mental Health, and Reemployment. Journal of Applied Psychology 105(3), 209229. https://doi.org/10.1037/apl0000435.CrossRefGoogle ScholarPubMed
Weber, EU (2010) What Shapes Perceptions of Climate Change? WIREs Climate Change 1(3), 332342. https://doi.org/10.1002/wcc.41.CrossRefGoogle Scholar
Welch, S and Hibbing, J (1992) Financial Conditions, Gender, and Voting in American National Elections. Journal of Politics 54(1), 197213. https://doi.org/10.2307/2131650.CrossRefGoogle Scholar
Wilkes, R (2015) We Trust in Government, Just Not in Yours: Race, Partisanship, and Political Trust, 1958–2012. Social Science Research 49, 356371. https://doi.org/10.1016/j.ssresearch.2014.08.008.CrossRefGoogle ScholarPubMed
Williams, VF et al. (2017) Validity of a Subjective Financial Situation Measure to Assess Socioeconomic Status in US Young Adults. Journal of Public Health Management and Practice 23(5), 487495. https://doi.org/10.1097/PHH.0000000000000468.CrossRefGoogle ScholarPubMed
Winkelmann, R (2009) Unemployment, Social Capital, and Subjective Well-Being. Journal of Happiness Studies 10(4), 421430. https://doi.org/10.1007/s10902-008-9097-2.CrossRefGoogle Scholar
Wlezien, C, Franklin, M and Twiggs, D (1997) Economic Perceptions and Vote Choice: Disentangling the Endogeneity. Political Behavior 19(1), 717. https://doi.org/10.1023/A:1024841605168.CrossRefGoogle Scholar
Wolak, J (2020) Why Do People Trust Their State Government? State Politics & Policy Quarterly 20(3), 313329. https://doi.org/10.1177/1532440020913492.CrossRefGoogle Scholar
Wu, JD and Huber, GA (2021) How Does Job Loss Affect Voting? Understanding Economic Voting Using Novel Data on COVID-19 Induced Individual-Level Unemployment Shocks. American Politics Research 49(6), 568576. https://doi.org/10.1177/1532673X211026831.CrossRefGoogle Scholar
Wu, JC and Xia, FD (2016) Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound. Journal of Money, Credit and Banking 48(2–3), 253291. https://doi.org/10.1111/jmcb.12300.CrossRefGoogle Scholar
Yağcı, AH and Oyvat, C (2020) Partisanship, Media and the Objective Economy: Sources of Individual-Level Economic Assessments. Electoral Studies 66, 102135. https://doi.org/10.1016/j.electstud.2020.102135.CrossRefGoogle Scholar
Figure 0

Table 1. Rating of Recent Change in Household Economic Situation among American National Election Studies Respondents, 1956–2020

Figure 1

Table 2. Rating of Recent Change in Household Economic Situation among British Election Study Respondents, 1974–2019

Figure 2

Figure 1. Estimated Evaluations of Household Economic Situations among the Unemployed in the United States, interacting partisanship with level of political interest; control variables left as is

Figure 3

Figure 2. Estimated Evaluations of Household Economic Situation among the Unemployed in Great Britain, interacting partisanship with level of political interest; control variables left as is

Figure 4

Table 3. Rating of Recent Change in National Economic Situation among American National Election Studies Respondents, 1982–2020

Figure 5

Table 4. Rating of Recent Change in National Economic Situation among British Election Study Respondents, 1997–2019

Figure 6

Figure 3. Assessment of Household Economic Change over the Past Year Following Transition into Unemployment, among American National Election Studies respondents who did not change parties amidst unemployment transition, 1958–2004, as predicted by ordered-logistic modelsNotes: N = 238; coefficient on sharing partisanship with president = −0.55, standard error = 0.23, two-tailed p = 0.017.

Figure 7

Figure 4. Assessment of Household Economic Change over the Past Year Following Transition into Unemployment, among British Election Study respondents who did not change parties amidst unemployment transition, 1997–2019Notes: N = 1,242; coefficient on sharing partisanship with government = −0.31, standard error = 0.11, one-tailed p = 0.002.

Supplementary material: PDF

Urbatsch supplementary material

Urbatsch supplementary material

Download Urbatsch supplementary material(PDF)
PDF 140.6 KB