Suchprofil: Gender_wage_gap Durchsuchter Fertigstellungsmonat: 01/22 Sortierung: 2. SONSTIGE REFERIERTE ZEITSCHRIFTEN 3. SONSTIGE ZEITSCHRIFTEN 4. ARBEITSPAPIERE/DISCUSSION PAPER 5. MONOGRAPHISCHE LITERATUR 6. BEITRÄGE ZU SAMMELWERKEN **************** 1. SSCI-JOURNALS **************** @Article{Darity:2022:RDI, Journal= {ILR review}, Volume= {75}, Number= {3}, Author= {William A. Darity and Darrick Hamilton and Samuel L. Myers and Gregory N. Price and Man Xu}, Title= {Racial Differences in Time at Work Not Working}, Year= {2022}, Pages= {552-572}, Annote= {URL: https://doi.org/10.1177/00197939211063863}, Abstract= {"Racial differences in effort at work, if they exist, can potentially explain race-based wage/earnings disparities in the labor market. The authors estimate specifications of time spent on non-work activities at work by Black and White males and females with data from the American Time Use Survey. Estimates reveal that trivially small differences occur between non-Hispanic Black and non-Hispanic White males in time spent not working while on the job that disappear entirely when correcting for non-response errors. The findings imply that Black-White male differences in the fraction of the workday spent not working are either not large enough to partially explain the Black-White wage gap, or simply do not exist at all." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Arbeitszeit; Zeitverwendung; Farbige; Weiße; erwerbstätige Frauen; erwerbstätige Männer; Arbeitsleistung; Arbeitsverhalten; kulturelle Faktoren; Arbeitsproduktivität; Lohnunterschied; Determinanten; Stereotyp; USA; }, Annote= {Bezugszeitraum: 2003-2015}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 680}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220112NWN}, } @Article{DelRey:2021:LME, Journal= {Labour economics}, Volume= {72}, Author= {Elena Del Rey and Maria Racionero and Jose I. Silva}, Title= {Labour market effects of reducing the gender gap in parental leave entitlements}, Year= {2021}, Pages= {Art. 102036}, Annote= {URL: https://doi.org/10.1016/j.labeco.2021.102036}, Annote= {URL: https://doi.org/10.1016/j.labeco.2021.102036}, Abstract= {"We explore the effects of parental leave entitlements for mothers and fathers on wages and employment. We consider male and female workers who compete for the same jobs in a labour search and matching model with endogenous job search and leave take-up rates. We identify key theoretical effects and calibrate the model to simulate policy changes in France, Italy, Norway and Portugal. Reducing the gap in parental leave entitlements reduces gender wage gaps and increases gender employment rate gaps in these countries. Leave take-up rates increase with paid leave duration. In general, we find that job search intensity decreases when longer paid leave duration decreases wages." (Author's abstract, IAB-Doku, © 2021 Elsevier) ((en))}, Annote= {Schlagwörter: Elternzeit; Reformpolitik; Auswirkungen; Beschäftigungseffekte; Einkommenseffekte; Väter; Mütter; internationaler Vergleich; Erwerbsquote; Lohnunterschied; geschlechtsspezifische Faktoren; Elterngeld; Dauer; Arbeitsuche; Frankreich; Italien; Norwegen; Portugal; }, Annote= {Bezugszeitraum: 2016-2016}, Annote= {JEL-Klassifikation: E24 ; J18 ; J13}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 1120}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211209NC3}, } @Article{Drydakis:2022:SOA, Journal= {Journal of population economics}, Volume= {35}, Number= {2}, Author= {Nick Drydakis}, Title= {Sexual Orientation and Earnings. A Meta-Analysis 2012-2020}, Year= {2022}, Pages= {409-440}, Annote= {URL: https://doi.org/10.1007/s00148-021-00862-1}, Annote= {URL: https://ideas.repec.org/p/iza/izadps/dp14496.html}, Abstract= {"This meta-analysis utilizes 24 papers published between 2012 and 2020 that focus on earnings differences by sexual orientation. The papers cover the period between 1991 and 2018, and countries in Europe, North America, and Australia. The meta-analysis indicates that gay men earned less than heterosexual men. Lesbian women earned more than heterosexual women, while bisexual men earned less than heterosexual men. Bisexual women earned less than heterosexual women. According to the meta-analysis, in data sets after 2010, gay men and bisexual men and women continue to experience earnings penalties, while lesbian women continue to experience earnings premiums. The persistence of earnings penalties for gay men and bisexual men and women in the face of anti-discrimination policies represents a cause for concern and indicates the need for comprehensive legislation and workplace guidelines to guarantee that people receive fair pay and not experience any form of workplace inequality simply because of their sexual orientation." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Homosexualität; Lohnunterschied; Einkommenseffekte; internationaler Vergleich; erwerbstätige Frauen; erwerbstätige Männer; Lohndiskriminierung; Europa; Nordamerika; Australien; }, Annote= {Bezugszeitraum: 1991-2018}, Annote= {JEL-Klassifikation: J16 ; C93 ; J15 ; J71 ; E24}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 923}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220126N44}, } @Article{Herrero:2021:OAB, Journal= {Journal of Economic Inequality}, Volume= {19}, Number= {4}, Author= {Carmen Herrero and Antonio Villar}, Title= {Opportunity advantage between income distributions}, Year= {2021}, Pages= {785-799}, Annote= {URL: https://doi.org/10.1007/s10888-021-09488-5}, Abstract= {"This paper seeks to compare income distributions from the opportunity advantage viewpoint. That is a measure of how likely it is for a representative individual of one society to receive a higher income than a representative individual of another. Opportunity advantage tries to measure the income opportunities a society offers to an individual, relative to other societies, evaluated from the 'veil of ignorance' viewpoint. We show that this notion can be precisely formalised and results in a complete and cardinal income distribution evaluation. We also present an empirical illustration of the gender differences in wage distributions in Spain after the financial crisis. The results show that this criterion offers new insights into the evaluation of differences in opportunity." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Einkommensverteilung; Chancengleichheit; internationaler Vergleich; geschlechtsspezifische Faktoren; Erwerbseinkommen; Finanzkrise; Auswirkungen; soziale Ungleichheit; Wohlfahrtsstaat; Einkommensmobilität; sozialer Aufstieg; Wohlfahrtsmessung; Lohnunterschied; Spanien; }, Annote= {Bezugszeitraum: 2014-2014}, Annote= {JEL-Klassifikation: D63 ; I30 ; D31}, Annote= {Sprache: en}, Annote= {IAB-Sign.: X 388}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211223NOL}, } @Article{Kaya:2021:GWG, Journal= {International labour review}, Number= {online first}, Author= {Ezgi Kaya}, Title= {Gender wage gap trends in Europe: The role of occupational skill prices}, Year= {2021}, Pages= {1-32}, Annote= {URL: https://doi.org/10.1111/ilr.12338}, Abstract= {"This paper explores gender wage gap trends by assessing the role of changing wage returns to occupational skills, brains - cognitive and interpersonal skills, and brawn - motor-skills and physical strength. Using harmonised data for six European countries and comparable data for the US, this paper finds substantial variation in the impact of occupational skill prices across countries. However, in all countries, a considerable portion of the change in the gender wage gap cannot be explained by changes in occupational skill prices." (Author's abstract, IAB-Doku, Published by arrangement with John Wiley & Sons) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; internationaler Vergleich; qualifikationsspezifische Faktoren; Bildungsertrag; Fachkenntnisse; kognitive Fähigkeit; soziale Qualifikation; Leistungsfähigkeit; körperliche Arbeit; geistige Arbeit; berufliche Qualifikation; Europäisches Haushaltspanel; Entwicklung; Determinanten; Europa; USA; Österreich; Irland; Italien; Spanien; Portugal; Großbritannien; }, Annote= {Bezugszeitraum: 1994-2009}, Annote= {JEL-Klassifikation: J16 ; J31 ; J24}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 037}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211210NDP}, } @Article{Laible:2022:DPM, Journal= {International migration review}, Volume= {56}, Number= {2}, Author= {Marie-Christine Laible and Hanna Brenzel}, Title= {Does personality matter? Noncognitive Skills and the Male Migrant Wage Gap in Germany}, Year= {2022}, Pages= {376-409}, Annote= {URL: https://doi.org/10.1177/01979183211037315}, Annote= {URL: https://doi.org/10.1177/01979183211037315}, Annote= {URL: https://doku.iab.de/discussionpapers/2016/dp2616.pdf}, Abstract= {"Anhand eines verknüpften Arbeitnehmer-Arbeitgeber Datensatzes wird untersucht, in wie weit die Big Five Persönlichkeitsmerkmale dazu beitragen die Lohnunterschiede zwischen Frauen und Männer ebenso wie zwischen Einheimischen und Migranten zu erklären. Wir erweitern die bestehende Literatur hinsichtlich eines Lohnunterschieds zwischen Frauen und Männern und liefern erste Evidenz für einen Zusammenhang zwischen den Big Five und Lohnunterschiede zwischen Einheimischen und Migranten. Unsere Ergebnisse zeigen, dass sich beide Gruppen in ihren Durchschnittswerten in den Big Fives unterscheiden. Darüber hinaus lässt sich ein signifikanter Zusammenhang zwischen Persönlichkeitsmerkmalen und Löhnen feststellen. Der Einfluss variiert dabei zwischen den zwei Gruppen. Die Ergebnisse einer Oaxaca-Blinder Lohnzerlegung deuten zusätzlich darauf hin, dass Persönlichkeitsmerkmale einen signifikanten Beitrag zur Erklärung des Lohnunterschieds zwischen den Geschlechtern als auch zwischen Migranten und Einheimischen liefern." (Autorenreferat, IAB-Doku)}, Abstract= {"Wage gaps between migrants and natives persist in Germany, and traditional human capital endowments or work environments only partially explain these gaps. This article investigates whether noncognitive skills contribute to explaining male migrant wage gaps in Germany. While the economics literature shows that noncognitive skills affect educational and occupational outcomes, such as gender wage gaps, it is unclear if the same applies to the migrant wage gap. To address this lingering question, we analyze risk preference and the 'Big Five Personality Dimensions,' a psychological concept categorizing an individual's personality into five factors. In doing so, we show that male migrants and male German natives differ in their average noncognitive skills and that these skills significantly relate to wages. The results of Oaxaca-Blinder wage decompositions reveal that noncognitive skills significantly contribute six percentage points to explaining the male migrant wage gap in Germany. We conclude that noncognitive skills are important predictors of heterogeneities in labor market outcomes." (Author's abstract, © by Center for Migration Studies) ((en))}, Annote= {Schlagwörter: Persönlichkeitsmerkmale; Lohnunterschied; ausländische Arbeitnehmer; Einwanderer; erwerbstätige Frauen; erwerbstätige Männer; geschlechtsspezifische Faktoren; Inländer; IAB-Datensatz Linked Personnel Panel; Einkommenseffekte; Auswirkungen; IAB-Open-Access-Publikation; Bundesrepublik Deutschland; }, Annote= {JEL-Klassifikation: J15 ; J24 ; J31}, Annote= {IAB-Sign.: Z 435}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220111NU9}, } @Article{Owen:2021:SHD, Journal= {Labour economics}, Volume= {72}, Author= {Ann L. Owen and Andrew Wei}, Title= {Sexism, household decisions, and the gender wage gap}, Year= {2021}, Pages= {Art. 102062}, Annote= {URL: https://doi.org/10.1016/j.labeco.2021.102062}, Abstract= {"We develop an index of local sexism for the United States using publicly available Google Trends data. We shed light on the correlates of local sexism and find that the most important factors that predict it are the economic outcomes of men. Finally, we show that online sexism is associated with higher levels of the residual gender wage gap, the wage gap after controlling for education, occupation, industry, and age. We find evidence for a direct association of sexism with the wage gap, consistent with labor market discrimination and an indirect association that works through household decisions which themselves are associated with wages." (Author's abstract, IAB-Doku, © 2021 Elsevier) ((en))}, Annote= {Schlagwörter: Frauen; Diskriminierung; Determinanten; Lohnunterschied; geschlechtsspezifische Faktoren; Männer; online; sexuelle Belästigung; Bildungsniveau; Erwerbsquote; regionaler Vergleich; Fremdbild; Stigmatisierung; Internet; Stereotyp; kulturelle Faktoren; Frauenerwerbstätigkeit; USA; }, Annote= {Bezugszeitraum: 2004-2018}, Annote= {JEL-Klassifikation: J10 ; J71 ; J31}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 1120}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211210NDE}, } @Article{Perticará:2021:SGW, Journal= {Journal of Economic Inequality}, Number= {online first}, Author= {Marcela Perticará and Mauricio Tejada}, Title= {Sources of gender wage gaps for skilled workers in Latin American countries}, Year= {2021}, Pages= {1-25}, Annote= {URL: https://doi.org/10.1007/s10888-021-09500-y}, Abstract= {"This paper identifies the impact of taste-based discrimination on labor market outcomes for nine Latin American countries. We use homogenized survey data on skilled workers to estimate a search and matching model of the labor market with explicit prejudice against women, participation decisions, and occupational choices. By gradually eliminating all potential sources of gender gaps, we find that prejudice is the only source that consistently impacts women, and plays a significant role in explaining gender wage gaps at the bottom of the wage distribution. Additionally, prejudice has strong negative effects on gender gaps with respect to participation, employment/unemployment, and self-employment rates." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Ursache; internationaler Vergleich; Hochqualifizierte; Lohndiskriminierung; Vorurteil; Gleichstellungspolitik; Produktivitätsunterschied; Lateinamerika; Argentinien; Bolivien; Kolumbien; Ekuador; Mexiko; Paraguay; Peru; Uruguay; }, Annote= {Bezugszeitraum: 2013-2015}, Annote= {JEL-Klassifikation: J64 ; J70 ; C51}, Annote= {Sprache: en}, Annote= {IAB-Sign.: X 388}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211223NOI}, } @Article{Piazzalunga:2019:IGW, Journal= {Journal of Economic Inequality}, Volume= {17}, Number= {2}, Author= {Daniela Piazzalunga and Maria Laura Di Tommaso}, Title= {The increase of the gender wage gap in Italy during the 2008-2012 economic crisis}, Year= {2019}, Pages= {171-193}, Annote= {URL: https://doi.org/10.1007/s10888-018-9396-8}, Annote= {URL: http://hdl.handle.net/10419/142370}, Abstract= {"The Italian gender wage gap is lower than in other European countries, however it increased during the 2008-2012 economic crisis, while in most countries it decreased. This paper finds that the main cause of this increase is the 2010-11 public sector wage freeze, which was introduced as an austerity measure by the Italian government. We estimate the level of the gender wage gap as if the wage freeze had not been implemented, applying a counterfactual analysis. We find that the wage freeze accounts for more than 100% of the increase of the wage gap, while other factors in sum reduced the wage gap. The paper also examines the evolution of the gap from 2004 to 2012 using the Oaxaca-Blinder decomposition and a quantile decomposition. The gender wage gap is found to be unexplained by observed characteristics. After 2010 it is particularly high in the upper part of the wage distribution, indicating the existence of a glass ceiling in addition to a sticky floor." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Auswirkungen; Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Wirtschaftskrise; Europäisches Haushaltspanel; öffentlicher Dienst; Sparpolitik; Entwicklung; Italien; }, Annote= {Bezugszeitraum: 2008-2012}, Annote= {JEL-Klassifikation: J16 ; J31 ; J45 ; J71}, Annote= {Sprache: en}, Annote= {IAB-Sign.: X 388}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220117NZO}, } @Article{Selezneva:2016:DEG, Journal= {Journal of Economic Inequality}, Volume= {14}, Number= {1}, Author= {Ekaterina Selezneva and Philippe Van Kerm}, Title= {A distribution-sensitive examination of the gender wage gap in Germany}, Year= {2016}, Pages= {21-40}, Annote= {URL: https://doi.org/10.1007/s10888-016-9320-z}, Abstract= {"This paper provides a new examination of the gender pay gap for Germany based on a family of distribution-sensitive indicators. Wage distributions for men and women do not only differ by a fixed constant; differences are more complex. We show that focusing on the bottom of the wage distribution reveals a larger gender gap. Our distribution-sensitive analysis can also be used to study whether the statistical disadvantage of women in average pay might be 'offset' by lower inequality. Over a broad range of plausible preferences over inequality, we show however that 'inequality-adjusted' estimates of the gap can be up to three times higher than standard inequality-neutral measures in Eastern Germany and up to fifty percent higher in Western Germany. Using preference parameters elicited from a hypothetical risky investment question in our sample, inequality-adjusted gender gap measures turn out to be close to those upper bounds." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Geringverdiener; Einkommensverteilung; soziale Ungleichheit; Erwerbseinkommen; regionaler Vergleich; Determinanten; Risikobereitschaft; Investitionsverhalten; Bundesrepublik Deutschland; Ostdeutschland; Westdeutschland; }, Annote= {Bezugszeitraum: 1999-2008}, Annote= {Sprache: en}, Annote= {IAB-Sign.: X 388}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220117NZG}, } @Article{Tamkoç:2020:CFF, Journal= {Journal of Economic Inequality}, Volume= {18}, Number= {2}, Author= {Mehmet Nazim Tamkoç and Orhan Torul}, Title= {Cross-Sectional Facts for Macroeconomists: Wage, Income and Consumption Inequality in Turkey}, Year= {2020}, Pages= {239-259}, Annote= {URL: https://doi.org/10.1007/s10888-019-09436-4}, Abstract= {"We investigate the evolution of Turkey's wage, income and consumption inequalities using a cross-country comparable methodology and the Turkish Statistical Institute's Household Budget Survey and the Survey of Income and Living Conditions micro data sets. Turkey's wage, income and consumption inequalities all exhibit downward time trends over the 2002-2016 period. This observation aligns well with the rapid minimum wage growth over the period. While wage inequality estimates display strong countercyclicality, income and consumption inequalities exhibit rather acyclical time-series movements. While recent education premium estimates of Turkey are similar to those in the early 2000s, estimates of recent gender and experience premiums, as well as residual wage inequality are lower. Income and consumption inequality estimates exhibit similar time trends with moderate level differences, and these trends are robust to the choice of inequality metrics." (Author's abstract, IAB-Doku, © Springer-Verlag) ((en))}, Annote= {Schlagwörter: Einkommensverteilung; Lohnentwicklung; Konsum; soziale Ungleichheit; Entwicklung; Mindestlohn; Auswirkungen; Konjunkturabhängigkeit; Bildungsertrag; geschlechtsspezifische Faktoren; Lohnunterschied; Europäisches Haushaltspanel; Türkei; }, Annote= {Bezugszeitraum: 2002-2016}, Annote= {Sprache: en}, Annote= {IAB-Sign.: X 388}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220117NYS}, } @Article{Zajickova:2021:GPG, Journal= {Prague Economic Papers}, Volume= {30}, Number= {6}, Author= {Drahomira Zajickova and Miroslav Zajicek}, Title= {Gender Pay Gap in the Czech Republic - Its Evolution and Main Drivers}, Year= {2021}, Pages= {675-723}, Annote= {URL: https://doi.org/10.18267/j.pep.787}, Annote= {URL: https://doi.org/10.18267/j.pep.787}, Abstract= {"The study estimates the size of the gender pay gap (GPG) for the Czech Republic in the years 2006-2017 using data from the EU-SILC survey. The size of the GPG (and the related variables) remains relatively time-invariant with a statistically weak relation to the business cycle. Using the Oaxaca-Blinder decomposition, we found out that the unexplained part of the GPG amounts to 50% of the whole GPG (on average) and only one third of the GPG is caused by an endowment effect or an interaction between the endowment effect and the coefficient effect. Selection bias plays a statistically insignificant role in terms of the GPG formation and explanation. Parenthood is the most important driver of the GPG. For parents, the GPG is about 30 percentage points higher than the one for non-parents. Women are able to narrow the GPG created by the effect of motherhood and reach original unexplained levels of approximately 15% after reaching the age of 50 and higher. Besides parenthood, there is no other demographic characteristic that has any substantial impact on the formation and persistence of the GPG. The GPG is most pronounced for the lowest- and the highest-earning quantiles, indicating the existence of a glass ceiling and a sticky floor on the Czech labour market." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; Entwicklung; erwerbstätige Frauen; erwerbstätige Männer; Europäisches Haushaltspanel; Mütter; Väter; altersspezifische Faktoren; Tschechische Republik; }, Annote= {Bezugszeitraum: 2006-2017}, Annote= {JEL-Klassifikation: D10 ; J30 ; J24}, Annote= {Sprache: en}, Annote= {IAB-Sign.: Z 2087}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211221NLB}, } ********************************** 4. ARBEITSPAPIERE/DISCUSSION PAPER ********************************** @Book{Bandiera:2021:MAF, Institution={Centre for Economic Performance (Hrsg.)}, Author= {Oriana Bandiera and Nidhi Parekh and Barbara Petrongolo and Michelle Rao}, Title= {Men are from Mars, and women too: a Bayesian meta-analysis of overconfidence experiments}, Year= {2021}, Pages= {47}, Address= {London}, Series= {CEP discussion paper}, Number= {1820}, Annote= {URL: https://ideas.repec.org/p/cep/cepdps/dp1820.html}, Annote= {URL: https://ideas.repec.org/p/cep/cepdps/dp1820.html}, Abstract= {"Gender differences in self-confidence could explain women's under representation in high-income occupations and glass-ceiling effects. We draw lessons from the economic literature via a survey of experts and a Bayesian hierarchical model that aggregates experimental findings over the last twenty years. The experts' survey indicates beliefs that men are overconfident and women under-confident. Yet, the literature reveals that both men and women are typically overconfident. Moreover, the model cannot reject the hypothesis that gender differences in self-confidence are equal to zero. In addition, the estimated pooling factor is low, implying that each study contains little information over a common phenomenon. The discordance can be reconciled if the experts overestimate the pooling factor or have priors that are biased and precise." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Selbstbewusstsein; Männer; Frauen; geschlechtsspezifische Faktoren; Persönlichkeitsmerkmale; Auswirkungen; Lohnunterschied; beruflicher Aufstieg; Risikobereitschaft; Stereotyp; Fremdbild; }, Annote= {Bezugszeitraum: 2000-2020}, Annote= {JEL-Klassifikation: J16 ; C91}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211222NML}, } @Book{Boeheim:2021:EDL, Institution={{\"O}sterreichisches Institut f{\"u}r Wirtschaftsforschung (Hrsg.)}, Author= {Rene B{\"o}heim and Marian Fink and Christine Zulehner}, Title= {Die Entwicklung des Lohnunterschiedes zwischen Frauen und M{\"a}nnern in {\"O}sterreich von 2005 bis 2019}, Year= {2021}, Pages= {9}, Address= {Wien}, Series= {WIFO Research Briefs}, Number= {2021,2}, Annote= {URL: https://ideas.repec.org/p/wfo/rbrief/y2021i2.html}, Annote= {URL: https://ideas.repec.org/p/wfo/rbrief/y2021i2.html}, Abstract= {"Wie wissenschaftliche Untersuchungen regelmäßig belegen, gibt es in Österreich geschlechtsspezifische Lohnunterschiede. Der vorliegende Research Brief untersucht auf Basis von EU-SILC-Daten die Entwicklung dieser Unterschiede im Zeitraum 2005 bis 2019. Während der Stundenlohn von Frauen im Jahr 2005 um etwa 20,5% geringer war als jener der Männer, sank diese Differenz bis 2019 auf 15,3%. Auch der um bestimmte Merkmale wie etwa die Schulbildung und Berufserfahrung "bereinigte" Lohnunterschied ging je nach statistischer Methode bis 2019 auf 6% bis 11% zurück (2005: 9% bis 17%). Der Hauptgrund für den Rückgang ist eine Angleichung der Merkmale von Frauen und Männern, die auf dem Arbeitsmarkt nachgefragt werden. Die größte Bedeutung für den Lohnunterschied kommt neben nicht beobachteten Merkmalen der Berufswahl und der Berufserfahrung zu, die im Fall von Frauen durch Kinderbetreuungszeiten eingeschränkt wird. Der vorliegende Research Brief ist eine Aktualisierung von Böheim, R., Fink, M., Zulehner, C., "About time: the narrowing gender wage gap in Austria", Empirica, 2020." (Autorenreferat, IAB-Doku)}, Annote= {Schlagwörter: Lohnunterschied; Entwicklung; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Europäisches Haushaltspanel; Determinanten; Bildungsniveau; ausgeübter Beruf; Berufserfahrung; Lohndiskriminierung; Österreich; }, Annote= {Bezugszeitraum: 2005-2019}, Annote= {Sprache: de}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211216NIQ}, } @Book{Caliendo:2021:DMW, Institution={Universit{\"a}t Potsdam. Center for Economic Policy Analysis (Hrsg.)}, Author= {Marco Caliendo and Linda Wittbrodt}, Title= {Did the Minimum Wage Reduce the Gender Wage Gap in Germany?}, Year= {2021}, Pages= {26}, Address= {Potsdam}, Series= {CEPA discussion papers}, Number= {40}, Annote= {URL: https://doi.org/10.25932/publishup-53046}, Annote= {URL: https://doi.org/10.25932/publishup-53046}, Abstract= {"In many countries, women are over-represented among low-wage employees, which is why a wage floor could benefit them particularly. Following this notion, we analyse the impact of the German minimum wage introduction in 2015 on the gender wage gap. Germany poses an interesting case study in this context, since it has a rather high gender wage gap and set the minimum wage at a relatively high level, affecting more than four million employees. Based on individual data from the Structure of Earnings Survey, containing information for over one million employees working in 60,000 firms, we use a difference-in- difference framework that exploits regional differences in the bite of the minimum wage. We find a significant negative effect of the minimum wage on the regional gender wage gap. Between 2014 and 2018, the gap at the 10th percentile of the wage distribution was reduced by 4.6 percentage points (or 32%) in regions that were strongly affected by the minimum wage compared to less affected regions. For the gap at the 25th percentile, the effect still amounted to -18%, while for the mean it was smaller (-11%) and not particularly robust. We thus find that the minimum wage can indeed reduce gender wage disparities. While the effect is highest for the low-paid, it also reaches up into higher parts of the wage distribution." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Mindestlohn; Auswirkungen; Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; regionaler Vergleich; Arbeitsmarktregion; Bundesrepublik Deutschland; }, Annote= {Bezugszeitraum: 2014-2018}, Annote= {JEL-Klassifikation: J71 ; J16 ; J38 ; J31}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211222NMQ}, } @Book{Fluchtmann:2021:GAG, Institution={Forschungsinstitut zur Zukunft der Arbeit (Hrsg.)}, Author= {Jonas Fluchtmann and Anita Marie Glenny and Nikolaj Harmon and Jonas Maibom}, Title= {The Gender Application Gap : Do Men and Women Apply for the Same Jobs?}, Year= {2021}, Pages= {101}, Address= {Bonn}, Series= {IZA discussion paper}, Number= {14906}, Annote= {URL: https://ideas.repec.org/p/iza/izadps/dp14906.html}, Annote= {URL: https://ideas.repec.org/p/iza/izadps/dp14906.html}, Abstract= {"Men and women tend to hold different jobs. Are these differences present already in the types of jobs men and women apply for? Using administrative data on job applications made by the universe of Danish UI recipients, we provide evidence on gender differences in applied-for jobs for the broader labor market. Across a range of job characteristics, we find large gender gaps in the share of applications going to different types of jobs even among observationally similar men and women. In a standard decomposition, gender differences in applications can explain more than 70 percent of the residual gender wage gap." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Bewerbungsverhalten; Arbeitsuche; geschlechtsspezifische Faktoren; arbeitslose Frauen; arbeitslose Männer; Auswirkungen; Arbeitsplatzwahl; Lohnunterschied; erwerbstätige Frauen; erwerbstätige Männer; berufliche Reintegration; Berufsgruppe; sektorale Verteilung; Lohnhöhe; Niederlande; }, Annote= {Bezugszeitraum: 2015-2017}, Annote= {JEL-Klassifikation: J71 ; E24 ; J31 ; J29}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211227NPH}, } @Book{Kamal:2021:AAP, Institution={University of Tasmania. Tasmanian School of Business and Economics (Hrsg.)}, Author= {Mustafa Kamal and Paul Blacklow}, Title= {Attitudes and personality in the Australian gender wage gap}, Year= {2021}, Pages= {34}, Address= {Hobart}, Series= {Discussion paper series / Tasmanian School of Business and Economics, University of Tasmania}, Number= {2021,7}, ISBN= {ISBN 978-1-922708-09-0}, Annote= {URL: https://ideas.repec.org/p/tas/wpaper/38717.html}, Annote= {URL: https://ideas.repec.org/p/tas/wpaper/38717.html}, Abstract= {"This paper estimates the effects of gender role attitudes and personality traits on the gender wage gap in Australia. Applying standard decomposition techniques and controlling for a wide range of variables, the paper finds that the overall gender wage gap in our estimates on average stood at 17.2% in 2019. Furthermore, the major portion of this wage gap remains unexplained, which accounts for at least 72.7% of the total gender wage gap. The results establish gender role attitudes as a key predictor of this pay gap both in the explained and unexplained part of the wage decomposition. It also shows that the impact of personality traits depends on whether the big five traits or the sub-traits are used in the analysis. Even some of the sub-traits belonging to the same category can influence the gender pay gap in opposite directions. Overall, the estimates establish the importance of psychological variables as more important than traditional human capital and other work-related characteristics in explaining the remaining gender wage gap in Australia." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Determinanten; Persönlichkeitsmerkmale; Geschlechterrolle; Rollenverständnis; Lohndiskriminierung; Australien; }, Annote= {Bezugszeitraum: 2019-2019}, Annote= {JEL-Klassifikation: J71 ; J31}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211222NMD}, } @Book{O'Higgins:2021:CFY, Institution={Forschungsinstitut zur Zukunft der Arbeit (Hrsg.)}, Author= {Niall O'Higgins and Luis Pinedo Caro}, Title= {Crowdwork for Young People: Risks and Opportunities}, Year= {2021}, Pages= {41}, Address= {Bonn}, Series= {IZA discussion paper}, Number= {14933}, Annote= {URL: https://ideas.repec.org/p/iza/izadps/dp14933.html}, Annote= {URL: https://ideas.repec.org/p/iza/izadps/dp14933.html}, Abstract= {"In recent years, crowdworking has emerged as a small but rapidly growing source of employment and income principally for young(er) people. Here, we build on previous work in identifying the determinants of crowdworkers' earnings. We focus on the reasons why young crowdworkers earn significantly higher hourly wages than their older counterparts. We show that this is due to the higher returns to experience accruing to younger crowd-workers. Educational attainment does not explain this age-based differential, as education is a negligible factor in determining crowdworkers' earnings. We also analyse why young women earn around 20% less than their male counterparts despite blind hiring. We confirm that this is partly explained by constraints on working time faced by women with children. The analysis also shows that 'freely chosen' crowdwork - as opposed to, young people crowd-working because of a lack of alternative employment opportunities - is conducive to higher levels of job satisfaction. Moreover, young crowdworkers in middle income countries earn less than their counterparts in high income countries but report higher levels of job satisfaction. This is entirely attributable to the lower quality of their options outside of crowdwork." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: internetbasierte Arbeitsorganisation; Plattformökonomie; junge Erwachsene; Einkommenshöhe; altersspezifische Faktoren; Arbeitszufriedenheit; geschlechtsspezifische Faktoren; Lohnunterschied; internationaler Vergleich; Industrieländer; Schwellenländer; online; Arbeitsmarktchancen; Arbeitsmarktrisiko; Entwicklungsländer; Welt; }, Annote= {Bezugszeitraum: 2015-2015}, Annote= {JEL-Klassifikation: F41 ; J41 ; J20}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K220110NTW}, } *************************** 5. MONOGRAPHISCHE LITERATUR *************************** @Book{OECD:2021:PTT, Institution={OECD}, Title= {Pay Transparency Tools to Close the Gender Wage Gap}, Year= {2021}, Pages= {131}, Address= {Paris}, ISBN= {ISBN 978-92-64-94239-4}, Annote= {URL: https://doi.org/10.1787/eba5b91d-en}, Annote= {URL: https://www.oecd-ilibrary.org/executive-summary_87383fd3-en.pdf?itemId=%2Fcontent%2Fcomponent%2F87383fd3-en&mimeType=pdf}, Abstract= {"Women continue to earn less than men, in spite of major societal changes over decades and many labour market, educational and public policy initiatives that have targeted the gender wage gap. To address this persistent challenge, many governments are now mandating promising new pay transparency tools like employer pay gap reporting, equal pay audits, and gender-neutral job classification systems. These policies hold considerable allure. Pay transparency offers a relatively simple and intuitive way to identify and address gender wage gaps when they occur in a workplace. These policies can function well in publicising wage gaps and incentivising employers to address the inequalities they find – but only with the right policy design and implementation. This report presents the first stocktaking of pay transparency tools across OECD countries and explores how such policies can help level the playing field for women and men at work." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Lohnunterschied; geschlechtsspezifische Faktoren; erwerbstätige Frauen; erwerbstätige Männer; Arbeitsmarkttransparenz; Lohnpolitik; Gleichstellungspolitik; Tarifverhandlungen; OECD; internationaler Vergleich; best practice; Berufsklassifikation; }, Annote= {Bezugszeitraum: 1996-2021}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211215NH4}, } @Book{OECD:2021:RFI, Institution={OECD}, Title= {The Role of Firms in Wage Inequality : Policy Lessons from a Large Scale Cross-Country Study}, Year= {2021}, Pages= {182}, Address= {Paris}, ISBN= {ISBN 978-92-64-90022-6}, Annote= {URL: https://doi.org/10.1787/7d9b2208-en}, Annote= {URL: https://www.oecd-ilibrary.org/executive-summary_13854861-en.pdf?itemId=%2Fcontent%2Fcomponent%2F13854861-en&mimeType=pdf}, Abstract= {"Even though firms play a key role in shaping wages, wage inequality and the gender wage gap, firms have so far only featured to a limited extent in the policy debates around these issues. The evidence in this volume shows that around one third of overall wage inequality can be explained by gaps in pay between firms rather than differences in the level and returns to workers' skills. Gaps in firm pay reflect differences in productivity and wage setting power. To address high wage inequality while fostering high and sustainable growth, worker-centred policies (e.g. education, adult learning) need to be complemented with firm-oriented policies. This involves notably: (1) policies that promote the productivity catch-up of lagging firms, which would not only raise aggregate productivity and wages but also reduce wage inequality; (2) policies that reduce wage gaps at given productivity gaps without limiting efficiency-enhancing reallocation, especially the promotion of worker mobility; and (3) policies that reduce the wage setting power of firms with dominant positions in local labour markets, which would raise wages and reduce wage inequality without adverse effects on employment and output." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Lohnunterschied; Determinanten; Unternehmen; internationaler Vergleich; OECD; Arbeitsproduktivität; Monopol; Auswirkungen; Einkommenseffekte; geschlechtsspezifische Faktoren; Berufsverlauf; Entwicklung; Lebenslauf; Produktivitätsunterschied; }, Annote= {Bezugszeitraum: 1997-2017}, Annote= {Sprache: en}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211215NH3}, } @Book{Zika:2021:MAB, Institution={Bundesministerium f{\"u}r Arbeit und Soziales (Hrsg.) ; Institut f{\"u}r Arbeitsmarkt- und Berufsforschung, N{\"u}rnberg (Hrsg.) ; Bundesinstitut f{\"u}r Berufsbildung (Hrsg.) ; Gesellschaft f{\"u}r Wirtschaftliche Strukturforschung (Hrsg.)}, Author= {Gerd Zika and Markus Hummel and Christian Schneemann and Maximilian Studtrucker and Michael Kalinowski and Tobias Maier and Bennet Krebs and Stefanie Steeg and Florian Bernardt and Jonas Krinitz and Anke M{\"o}nnig and Frederik Parton and Philip Ulrich and Marc Ingo Wolter}, Title= {Mittelfristprognose: Arbeitsmarktdynamik bis 2025}, Year= {2021}, Pages= {75}, Annote= {Art: Stand: November 2021}, Address= {Berlin}, Series= {Bundesministerium f{\"u}r Arbeit und Soziales. Forschungsbericht}, Number= {526/4}, Annote= {URL: https://www.bmas.de/SharedDocs/Downloads/DE/Publikationen/Forschungsberichte/fb526-4-mittelfristprognose-arbeitsmarktdynamik-bis-2025.pdf?__blob=publicationFile&v=1}, Abstract= {"Die in diesem Bericht erstmalig vorgestellte Mittelfristprognose (Prognosezeitraum: 5 Jahre) schließt die Lücke zwischen der Engpassanalyse der Bundesagentur für Arbeit zur aktuellen Fachkräftesituation und den bisherigen Langfristprognosen für den Zeitraum von 10 bis 20 Jahren des Fachkräftemonitorings. In der Mittelfristprognose sind Bevölkerungs- und Konjunkturprojektionen aktueller als in der zuletzt veröffentlichten Langfristprojektion 'Digitalisierte Arbeitswelt', dennoch geht diese vom selben langfristen Entwicklungspfad und zueinander konsistenten Annahmen aus. Neben einer neu entwickelten QuBe-Indikatorik zur Identifikation von Berufen mit potentiellen Handlungsbedarfen (Fokusberufen) wird in diesem Bericht der Gender Employment Gap als Indikator zur Identifikation von Frauen bzw. Männerberufen erstmals vorgestellt." (Autorenreferat, IAB-Doku)}, Abstract= {"The medium-term forecast presented in this report for the first time (forecast period: 5 years) closes the gap between the Engpassanalyse (tool to identify skills shortages by occupation A) of the Federal Employment Agency (Bundesagentur für Arbeit) for the current situation and the previous long-term forecasts for the next 10 to 20 years of the Skilled Labour Monitoring. In the medium-term forecast, population and economic projections are more up-to-date than in the long-term projection "Digitized world of work", yet the first assumes the same long-term development path and mutually consistent assumptions. In addition to a newly developed QuBe indicator for identifying occupations with potential mismatches (focus occupations), the Gender Employment Gap is presented for the first time in this report as an indicator for identifying female and male occupations." (Author's abstract, IAB-Doku) ((en))}, Annote= {Schlagwörter: Arbeitsmarktprognose; Bevölkerungsprognose; Arbeitskräfteangebot; Qualifikationsstruktur; Arbeitsmarktentwicklung; Wirtschaftsentwicklung; Konjunkturprognose; Mangelberufe; Berufsgruppe; Arbeitskräftenachfrage; Lohnunterschied; geschlechtsspezifische Faktoren; BIBB/IAB-Qualifikations- und Berufsfeldprojektionen; Bundesrepublik Deutschland; }, Annote= {Bezugszeitraum: 2015-2025}, Annote= {Sprache: de}, Annote= {Quelle: IAB, SB Dokumentation und Bibliothek, LitDokAB, K211220NJZ}, } 21 von 392 Datensätzen ausgegeben.