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Barbara Binder

@barbarabinder.bsky.social
323 followers 151 following 21 posts

Sociologist | Income inequality, poverty, social inequality | GESIS, working on digital behavioral data in surveys

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Barbara Binder @barbarabinder.bsky.social · 30/06/2026
A similar picture emerges when we shift attention from patterns of asset ownership to differences in asset concentration, diversification, and relative wealth positions based on a latent profile analysis. Check out the preprint for more! doi.org/10.31235/osf...
Abstract: Cryptocurrencies have become an increasingly prominent component of household wealth portfolios. While existing research has primarily examined who owns cryptocurrencies, much less is known about how cryptocurrencies are embedded within broader portfolio structures and whether crypto investors constitute a distinct social group. Using an online survey of adults in Germany (N = 1,207), this study examines who invests in cryptocurrencies, how crypto is embedded within broader asset portfolios, and whether crypto investors form a homogenous or internally differentiated group. We combine logistic regression models with latent class and latent profile analyses. Logistic regressions identify socio-demographic, economic, attitudinal, and ideological correlates of cryptocurrency ownership. The latent class analysis examines how cryptocurrencies are embedded within broader ownership portfolios, while the latent profile analysis investigates heterogeneity in asset values among crypto-oriented investors. Cryptocurrency ownership is strongly stratified by age, gender, and risk tolerance, while associations with education and income become less pronounced once ideological orientations are considered. Portfolio analyses provide little evidence for a distinct crypto investor class. Instead, cryptocurrency ownership is embedded within broader structures of wealth accumulation and financial participation. Crypto investors are distributed across multiple portfolio profiles, including a financially oriented crypto-intensive group and a highly diversified asset elite that combines cryptocurrencies with conventional assets. Overall, the findings suggest that cryptocurrencies primarily extend rather than fundamentally transform existing patterns of financial inequality. By jointly analyzing ownership, portfolio composition, and asset values, the study contributes to sociological research on financialization, digital assets, and wealth inequality.
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Barbara Binder @barbarabinder.bsky.social · 30/06/2026
Rather than clustering within a single ownership profile, cryptocurrency ownership appears across multiple portfolio structures that differ markedly in their composition and degree of diversification. @nrmllr.bsky.social and I identify four different classes based on their ownership probabilities.
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Barbara Binder @barbarabinder.bsky.social · 30/06/2026
Is crypto anti-elite rebellion or tax-savvy portfolio strategy? Our study of Germany points more to the latter: crypto ownership is socially stratified, linked to risk tolerance, and embedded in existing wealth portfolios rather than forming a distinct investor class. On OSF: doi.org/10.31235/osf...
The figure shows predicted probabilities of owning eight asset types across four latent ownership classes (N=877). The conventional diversified ownership class (24% of the analysis sample) has high probabilities of owning owner-occupied property, savings accounts, vehicles, and gold, but low cryptocurrency ownership. The emerging speculative financial class (33%) shows comparatively high probabilities of cryptocurrency ownership, as well as stocks and bonds, savings, vehicles, and gold, but lower probabilities of real estate ownership. The fully diversified asset elite (7%) has very high ownership probabilities across nearly all asset categories, including cryptocurrencies. The material ownership class (36%) is characterized mainly by owner-occupied housing, savings, and vehicles, with low financial asset ownership and almost no cryptocurrency ownership. Overall, the figure shows that cryptocurrencies are embedded in multiple portfolio structures rather than concentrated in a single crypto-specific class.
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Barbara Binder @barbarabinder.bsky.social · 18/06/2026
By now I believe I am a robot
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GESIS - Leibniz-Institut für Sozialwissenschaften @gesis.org · 16/06/2026
#GoogleTrends #PoliticalConcerns 📣New publication by Julia Weiss Julia Weiß and Barbara Binder Barbara Binder: “Comparing the ‘Most Important Problem’ Measure of Issue Salience and Google Trends” (doi.org/10.13094/SMI...).
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GESIS - Leibniz-Institut für Sozialwissenschaften @gesis.org · 10/06/2026
From surveys to data donations: “Search and Stream” offers new research data on 🔍Google Search, 🎧Spotify streaming, and digital participation — linkable to the German ISSP 2024 survey. Now available at GESIS: 🔗ZA9079: doi.org/10.4232/1.14700 🔗ZA9080: doi.org/10.4232/1.14701
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Florian Ederer @florianederer.bsky.social · 23/02/2026
Large-scale online deanonymization with LLMs shows how easily pseudonymous users can now be re-identified from unstructured text alone. When discussing our EJMR paper at NBER SI 2023 Catherine Tucker argued that rising compute would soon erode online anonymity. The future may already be here.
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Barbara Binder @barbarabinder.bsky.social · 03/02/2026
We study differences in participation by party vote and socio-demographics based on election survey data @gles.bsky.social linked with a data donation study during the 2025 German federal election 👇Preprint link: doi.org/10.31235/osf...
The figure shows a descriptive overview of age, education, gender and party vote distribution in the full sample (grey bars) alongside willingness (green) and completion rates (blue) by group. With regard to age, younger respondents appear more likely to being willing to participate as well as to complete the donation task. For education, there is a tendency for individuals with higher educational attainment to be more likely to complete the donation. The very small proportion of individuals with lower levels of education does not allow for conclusions on their likelihood of being willing to participate or completing the data donation study. Overall, the sample contains more self-identified men than women, and men show a slightly higher likelihood of being willing to participate and completing the data donation. Regarding partisan affiliation, supporters of the Green Party appear substantially more likely to finish the data donation, followed - though to a lesser extent - by voters of the FDP and Die Linke.
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Barbara Binder @barbarabinder.bsky.social · 03/02/2026
To account for the two-step process of participation, first being willing, then actually donating, we use a bivariate probit model with partial observability. Also, we experimented with naming Google in the invitation or not. Check it out in our preprint: doi.org/10.31235/osf...
doi.org
OSF
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Barbara Binder @barbarabinder.bsky.social · 03/02/2026
Who opts into a data donation study asking for Google Search histories – and more importantly, who actually donates their data? Sina Chen and I found that Green Party and FDP voters were more likely to follow through, hinting at political skew in donated data 👇
The figure shows the predicted probabilities by party vote, derived from the partially observed bivariate probit model, separately for willingness and completion, and the joint probability. Voters of the CDU/CSU, the AfD, the SPD, the LINKE, and BSW exhibit predicted probabilities of willingness to participate close to the sample average of 50%. Green Party voters show a higher predicted probability of willingness to participate, while the elevated probabilities among FDP voters are not statistically different from those of CDU/CSU voters. In contrast, voters of other parties and non-voters, including those who did not disclose their vote choice, display lower predicted probabilities of willingness. When it comes to donation completion, both Green Party and FDP voters stand out with higher predicted probabilities. As a result, the joint predicted probabilities indicate that voters of the Greens and FDP are the most likely to both opt-in and follow through with the data donation, even when controlling for age, gender, and education.
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GESIS - Leibniz-Institut für Sozialwissenschaften @gesis.org · 28/01/2026
#DataDonation #DBD #GLES #ElectionResearch Who actually donates their #GoogleSearch data during an election #BTW25? Barbara Binder and Sina Chen explore the potential of enriching election surveys with donated platform data in their new paper "Opting in but not donating?
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German Longitudinal Election Study (GLES) @gles.bsky.social · 12/05/2025
🚨 New GLES data release for #BTW25: GLES Tracking March 2025 – repeatedly questioned respondents T60W (ZA10132) 💻📱 CAWI survey 👥 n = 977 interviews 📅 Fieldwork: 05–21 March 2025 🗳️ Post-election follow-up survey of a subset of the T60 (ZA10105) respondents. 📥 Access the data: doi.org/10.4232/5.ZA...
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David Brady @davebrady72.bsky.social · 05/04/2025
Wow! The “official” poverty guidelines were quite problematic. But hard to see how eligibility for Medicaid & other programs will be determined given they were based on these guidelines.
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Rin Reczek @rinreczek.bsky.social · 22/03/2025
The field of gender and sexual minority (LGBTQ) health is being erased. Hundreds of ongoing NIH grants being immediately terminated. Deb Umberson and my decade long longitudinal study on marriage and health joined the termination list last night.
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Carl T. Bergstrom @carlbergstrom.com · 21/03/2025
The current administration is straight up censoring the scientific record by requiring authors to alter an already-accepted research paper because it uses banned words such as "gender" and "equitable" and presents data broken down by sexual orientation.
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Nora Müller (she/her) @nrmllr.bsky.social · 13/12/2024
🚨 New Preprint! 🚨 How are generational shifts shaping hormonal contraceptive use in Germany? We analyze societal, economic, and personal predictors across three cohorts using machine learning. 💡 Key findings below 👇 Read here: doi.org/10.31235/osf... Thanks to co-authors Theresa Nutz & Bryan Chan
doi.org
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German Longitudinal Election Study (GLES) @gles.bsky.social · 13/12/2024
Looking for linkable social media data of candidates? 🔎 Check out the candidates’ social media accounts (ZA7959) and the candidates’ social media activities (ZA8917) and contact the GLES team for possibilities to link the data!📧
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German Longitudinal Election Study (GLES) @gles.bsky.social · 13/12/2024
🚨 New data release! 🚨 GLES Candidate Study European Election 2024 (ZA7960)!🎉 Questions include background & nomination, election campaign, attitudes, democracy & representation. Special focus on use of social media in election campaigns. ➡️ dx.doi.org/10.4232/1.14...
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Nora Waitkus @norawaitkus.bsky.social · 26/08/2024
🚨Check out our new paper with @schechtlm.bsky.social on the role of public redistribution in wealth-income correlations across countries! 🚨💰💶 OA in Socius doi.org/10.1177/23780231241261599
doi.org
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German Longitudinal Election Study (GLES) @gles.bsky.social · 11/06/2024
Data collection of GLES Candidate Study European Election 2024 has started!🎉 Questions on candidates' backgrounds, recruitment & selection, attitudes, policy positions, campaigns & special focus on social media campaigning Pre-release questionnaire: www.gesis.org/en/gles/over...
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Zentrum für neue Sozialpolitik @zentrum-neue-sozialpolitik.org · 11/06/2024
Der Grundfreibetrag soll ein festgelegtes steuerfreies #Existenzminimum garantieren. Die absolute Entlastungswirkung steigt jedoch kontinuierlich mit dem Einkommen, wie unsere neue Studie zeigt. #ifo_Institut 🧵1/2 ➡️ zentrum-neue-sozialpolitik.org/projekte/ifo...
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German Longitudinal Election Study (GLES) @gles.bsky.social · 17/05/2024
🚨 New data release! 🚨 GLES Candidate Study European Elections 2024, Social Media Accounts (ZA7959)! 🎉 The data covers accounts from Facebook, Instagram, X, and personal websites of German candidates for the upcoming European Elections. ➡️ doi.org/10.4232/1.14...
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Economic Policy Institute @epi.org · 21/03/2024
🚨 Policy works! 🚨 Low-wage workers saw dramatically fast wage growth from 2019-2023—even after accounting for inflation—largely because of federal and state policy measures like COVID relief and minimum wage increases. This is in stark contrast to prior decades. 🧵 1/4
A graph with the headline "The lowest-wage workers had the strongest wage growth during the pandemic" and a sub-headline that reads "Real wage growth across the wage distribution, 2019-2023"
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Jan-Martin Wiarda @jmwiarda.bsky.social · 18/03/2024
Eine Chance für die Quote? In Hessen einigen sich Land und Gewerkschaften auf eine bundesweit einzigartige Regelung zum Ausbau von Dauerstellen an Hochschulen. Was das für die #WissZeitVG-Debatte bedeuten könnte. #IchbinHanna Im Blog: www.jmwiarda.de/2024/03/18/e...
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John Sides @johnsides.bsky.social · 05/03/2024
That very viral "Holocaust denial among young people" finding doesn't replicate. t.co/9wT82XfBzW
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
We want to thank everyone who commented on earlier versions presented at conferences, and we are happy to hear your thoughts!
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
Further research should improve knowledge on country-specific dynamics, particularly on the interaction between employment and social protection and how it affects poverty outcomes. Another challenge is to improve the anchored poverty measure to account for enduring trends in median income.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
Our results can enrich the ongoing debate on the European Union’s social target indicator and provide further insights for the developments of alternative poverty thresholds.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
When using the anchored at-risk-of-poverty rate among the active-age population as the dependent variable, the association between employment and poverty becomes substantially stronger – up to four times higher than when using the floating poverty line.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
However, the most important factor in this regard proves to be the change in the median incomes! Thus, a large part of the story is how the distribution of incomes, and not only the situation among the poor population changed.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
Furthermore, the expansion of part-time employment, measured both on individual and household levels as a form of non-standard work added to a blurred relationship and to disappointing poverty trends.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
The poverty trends would have been more encouraging during economic upturns if new jobs were distributed more favorably across households and if poverty risks among the jobless wouldn’t have increased.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
So why don’t EU (and many country)-level descriptive statistics reflect this relationship after all? We suggested four mechanisms that blur the relationship, and our analysis provides empirical evidence in support of each of these mechanisms.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
Using decomposition analysis and macro-level regressions on #EUSILC data for years 2004 to 2017, we find a consistent, negative relationship between employment (individual and household levels) and relative income poverty. This challenges previous findings and concerns of social policy experts.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
This figure shows trends in employment (left axis), low work intensity and poverty (right axis) for the EU-27 average (UK included), from 2004 to 2017 (in %). @fdzgml.bsky.social @eu-eurostat-mirror.bsky.social
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
Consistently high EU-average poverty rates, despite rising employment, continue to generate debates about their relationship and the drivers of poverty rates.
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Barbara Binder @barbarabinder.bsky.social · 29/02/2024
OnlineFirst in #JESP: András Gábos, Réka Branyiczki, István G. Tóth and I show that using a floating poverty threshold dramatically underestimates the strength of the relationships between poverty, employment and social transfers: doi.org/10.1177/09589287241232272 Thread 👇👇👇
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Hans-Böckler-Stiftung @boeckler-stiftung.bsky.social · 15/02/2024
Der deutsche Sozialstaat im IMK-Datencheck: Weder besonders groß, noch besonders stark gewachsen. Die realen Sozialausgaben stiegen in den letzten 20 Jahren um 26% – drittniedrigster Wert unter 27 OECD-Ländern. Alle Infos ➡️ www.boeckler.de/de/pressemit...
Infografik "Wachsender Sozialstaat?"; So haben sich die öffentlichen Sozialausgaben (inflationsbereinigt) von 2002 bis 2022 verändert. Deutschland hat mit 26% drittniedrigster Wert unter 27 OECD-Ländern.
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Barbara Binder @barbarabinder.bsky.social · 25/01/2024
Geht doch
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Daria Tisch @dariatisch.bsky.social · 08/11/2023
@schechtlm.bsky.social und ich zeigen (osf.io/preprints/so...), dass das deutsche Erbschafts- und Schenkungssteuerrecht in Verbindung mit geschlechterspezifischem elterlichen Transferverhalten zu einem Gender-Tax-Gap führt. Erklärt hier: www.zeit.de/geld/2023-10... #GenderSky #Sociology
zeit.de
Erbschaftssteuer: Warum Frauen weniger erben und trotzdem mehr Steuern zahlen
Egal, wie reich Frauen werden, Männer sind im Schnitt reicher. Das liegt nicht nur am Gender-Pay-Gap, sondern auch daran, wie die deutsche Steuer Frauen diskriminiert.
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Andreas Hövermann @andreashoev.bsky.social · 02/11/2023
Die Pressemitteilung der @boeckler-stiftung.bsky.social findet sich hier: www.boeckler.de/de/pressemit... Die vollständige Studie von @janbruelle.bsky.social und Dorothee Spannagel kann hier heruntergeladen werden: www.wsi.de/fpdf/HBS-008... 15/
boeckler.de
Studie: Armut ist Risiko für Demokratie – Indizien für Zunahme der Einkommensungleichheit in der...
Die Hans-Böckler-Stiftung ist das Mitbestimmungs-, Forschungs- und Studienförderungswerk des DGB. Sie ist in allen ihren Aufgabenfeldern der Mitbestimmung als Gestaltungsprinzip einer demokratischen...
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Andreas Hövermann @andreashoev.bsky.social · 02/11/2023
Der diesjährige Verteilungsbericht des WSI @boeckler-stiftung.bsky.social ist erschienen und offenbart eine anhaltend hohe Einkommensungleichheit. Zudem zeigt er, wie Einkommensungleichheit zu einer Entfremdung einzelner Gruppen vom demokratischen System beiträgt. 1/ www.boeckler.de/pdf/pm_wsi_2...
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Barbara Binder @barbarabinder.bsky.social · 02/11/2023
It’s not even the meat that worries me in this arrangement
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